From b2a06ed994b38d32220688c90b3166596df2700b Mon Sep 17 00:00:00 2001
From: Evandro Fonseca Junior <asemlk54@hotmail.com>
Date: Wed, 19 Nov 2025 00:01:14 -0300
Subject: [PATCH] fix: address issues in model pull and chat API

- Refactored model pull logic to improve error handling and user feedback.
- Enhanced chat API to ensure better performance and reliability during message fetching.
- Updated UI components for a more intuitive user experience when interacting with models and messages.
---
 .gitignore                                |   41 +
 README.md                                 |   36 +
 app/chat/page.tsx                         |  208 +
 app/favicon.ico                           |  Bin 0 -> 25931 bytes
 app/globals.css                           |  122 +
 app/layout.tsx                            |   42 +
 app/page.tsx                              |   66 +
 app/setup/page.tsx                        |   41 +
 components.json                           |   22 +
 components/chat/chat-input.tsx            |   72 +
 components/chat/chat-message.tsx          |   33 +
 components/chat/prompt-generator.tsx      |  114 +
 components/chat/system-panel.tsx          |  105 +
 components/landing/hero.tsx               |   26 +
 components/landing/stopped-card.tsx       |   85 +
 components/modals/install-modal.tsx       |   86 +
 components/setup/hardware-scan.tsx        |   72 +
 components/setup/model-selector.tsx       |  163 +
 components/theme-provider.tsx             |   12 +
 components/ui/badge.tsx                   |   46 +
 components/ui/button.tsx                  |   60 +
 components/ui/card.tsx                    |   92 +
 components/ui/dialog.tsx                  |  143 +
 components/ui/progress.tsx                |   27 +
 components/ui/resizable.tsx               |   44 +
 components/ui/select.tsx                  |  159 +
 components/ui/separator.tsx               |   28 +
 components/ui/tabs.tsx                    |   66 +
 components/ui/textarea.tsx                |   23 +
 data/models/alfred.json                   |   20 +
 data/models/all-minilm.json               |   26 +
 data/models/athene-v2.json                |   20 +
 data/models/aya-expanse.json              |   26 +
 data/models/aya.json                      |   26 +
 data/models/bakllava.json                 |   20 +
 data/models/bespoke-minicheck.json        |   20 +
 data/models/bge-large.json                |   20 +
 data/models/bge-m3.json                   |   20 +
 data/models/codebooga.json                |   20 +
 data/models/codegeex4.json                |   20 +
 data/models/codegemma.json                |   26 +
 data/models/codellama.json                |   38 +
 data/models/codeqwen.json                 |   20 +
 data/models/codestral.json                |   20 +
 data/models/codeup.json                   |   20 +
 data/models/cogito.json                   |   44 +
 data/models/command-a.json                |   20 +
 data/models/command-r-plus.json           |   20 +
 data/models/command-r.json                |   20 +
 data/models/command-r7b-arabic.json       |   20 +
 data/models/command-r7b.json              |   20 +
 data/models/dbrx.json                     |   20 +
 data/models/deepcoder.json                |   26 +
 data/models/deepscaler.json               |   20 +
 data/models/deepseek-coder-v2.json        |   26 +
 data/models/deepseek-coder.json           |   32 +
 data/models/deepseek-llm.json             |   26 +
 data/models/deepseek-r1.json              |   56 +
 data/models/deepseek-v2.5.json            |   20 +
 data/models/deepseek-v2.json              |   26 +
 data/models/deepseek-v3.1.json            |   26 +
 data/models/deepseek-v3.json              |   20 +
 data/models/devstral.json                 |   20 +
 data/models/dolphin-llama3.json           |   26 +
 data/models/dolphin-mistral.json          |   20 +
 data/models/dolphin-mixtral.json          |   26 +
 data/models/dolphin-phi.json              |   20 +
 data/models/dolphin3.json                 |   20 +
 data/models/dolphincoder.json             |   26 +
 data/models/duckdb-nsql.json              |   20 +
 data/models/embeddinggemma.json           |   20 +
 data/models/everythinglm.json             |   20 +
 data/models/exaone-deep.json              |   32 +
 data/models/exaone3.5.json                |   32 +
 data/models/falcon.json                   |   32 +
 data/models/falcon2.json                  |   20 +
 data/models/falcon3.json                  |   38 +
 data/models/firefunction-v2.json          |   20 +
 data/models/gemini-3-pro-preview.json     |   14 +
 data/models/gemma.json                    |   26 +
 data/models/gemma2.json                   |   32 +
 data/models/gemma3.json                   |   44 +
 data/models/gemma3n.json                  |   26 +
 data/models/glm-4.6.json                  |   14 +
 data/models/glm4.json                     |   20 +
 data/models/goliath.json                  |  104 +
 data/models/gpt-oss-safeguard.json        |   26 +
 data/models/gpt-oss.json                  |   38 +
 data/models/granite-code.json             |   38 +
 data/models/granite-embedding.json        |   26 +
 data/models/granite3-dense.json           |   26 +
 data/models/granite3-guardian.json        |   26 +
 data/models/granite3-moe.json             |   26 +
 data/models/granite3.1-dense.json         |   26 +
 data/models/granite3.1-moe.json           |   26 +
 data/models/granite3.2-vision.json        |   20 +
 data/models/granite3.2.json               |   26 +
 data/models/granite3.3.json               |   26 +
 data/models/granite4.json                 |   32 +
 data/models/hermes3.json                  |   38 +
 data/models/internlm2.json                |   38 +
 data/models/kimi-k2-thinking.json         |   14 +
 data/models/kimi-k2.json                  |   14 +
 data/models/llama-guard3.json             |   26 +
 data/models/llama-pro.json                |  206 +
 data/models/llama2-chinese.json           |   26 +
 data/models/llama2-uncensored.json        |   26 +
 data/models/llama2.json                   |   32 +
 data/models/llama3-chatqa.json            |   26 +
 data/models/llama3-gradient.json          |   26 +
 data/models/llama3-groq-tool-use.json     |   26 +
 data/models/llama3.1.json                 |   32 +
 data/models/llama3.2-vision.json          |   26 +
 data/models/llama3.2.json                 |   26 +
 data/models/llama3.3.json                 |   20 +
 data/models/llama3.json                   |   26 +
 data/models/llama4.json                   |   26 +
 data/models/llava-llama3.json             |   20 +
 data/models/llava-phi3.json               |   20 +
 data/models/llava.json                    |   32 +
 data/models/magicoder.json                |   20 +
 data/models/magistral.json                |   20 +
 data/models/marco-o1.json                 |   20 +
 data/models/mathstral.json                |   20 +
 data/models/meditron.json                 |   26 +
 data/models/medllama2.json                |   20 +
 data/models/megadolphin.json              |   20 +
 data/models/minicpm-v.json                |   20 +
 data/models/minimax-m2.json               |   14 +
 data/models/mistral-large.json            |   20 +
 data/models/mistral-nemo.json             |   20 +
 data/models/mistral-openorca.json         |   20 +
 data/models/mistral-small.json            |   26 +
 data/models/mistral-small3.1.json         |   20 +
 data/models/mistral-small3.2.json         |   20 +
 data/models/mistral.json                  |   20 +
 data/models/mistrallite.json              |   20 +
 data/models/mixtral.json                  |   26 +
 data/models/moondream.json                |   20 +
 data/models/mxbai-embed-large.json        |   20 +
 data/models/nemotron-mini.json            |   20 +
 data/models/nemotron.json                 |   20 +
 data/models/neural-chat.json              |   20 +
 data/models/nexusraven.json               |   20 +
 data/models/nomic-embed-text.json         |   26 +
 data/models/notus.json                    |   20 +
 data/models/notux.json                    |   20 +
 data/models/nous-hermes.json              |   26 +
 data/models/nous-hermes2-mixtral.json     |   20 +
 data/models/nous-hermes2.json             |   26 +
 data/models/nuextract.json                |   20 +
 data/models/olmo2.json                    |   26 +
 data/models/open-orca-platypus2.json      |   20 +
 data/models/openchat.json                 |   20 +
 data/models/opencoder.json                |   26 +
 data/models/openhermes.json               |  218 +
 data/models/openthinker.json              |   26 +
 data/models/orca-mini.json                |   38 +
 data/models/orca2.json                    |   26 +
 data/models/paraphrase-multilingual.json  |   20 +
 data/models/phi.json                      |   20 +
 data/models/phi3.5.json                   |   20 +
 data/models/phi3.json                     |   26 +
 data/models/phi4-mini-reasoning.json      |   20 +
 data/models/phi4-mini.json                |   20 +
 data/models/phi4-reasoning.json           |   20 +
 data/models/phi4.json                     |   20 +
 data/models/phind-codellama.json          |   20 +
 data/models/qwen.json                     |   62 +
 data/models/qwen2-math.json               |   32 +
 data/models/qwen2.5-coder.json            |   50 +
 data/models/qwen2.5.json                  |   56 +
 data/models/qwen2.5vl.json                |   38 +
 data/models/qwen2.json                    |   38 +
 data/models/qwen3-coder.json              |   32 +
 data/models/qwen3-embedding.json          |   32 +
 data/models/qwen3-vl.json                 |   62 +
 data/models/qwen3.json                    |   62 +
 data/models/qwq.json                      |   20 +
 data/models/r1-1776.json                  |   26 +
 data/models/reader-lm.json                |   26 +
 data/models/reflection.json               |   20 +
 data/models/sailor2.json                  |   32 +
 data/models/samantha-mistral.json         |   20 +
 data/models/shieldgemma.json              |   32 +
 data/models/smallthinker.json             |   20 +
 data/models/smollm.json                   |   32 +
 data/models/smollm2.json                  |   32 +
 data/models/snowflake-arctic-embed.json   |   44 +
 data/models/snowflake-arctic-embed2.json  |   20 +
 data/models/solar-pro.json                |   20 +
 data/models/solar.json                    |   20 +
 data/models/sqlcoder.json                 |   26 +
 data/models/stable-beluga.json            |   32 +
 data/models/stable-code.json              |   20 +
 data/models/stablelm-zephyr.json          |   20 +
 data/models/stablelm2.json                |   26 +
 data/models/starcoder.json                |   38 +
 data/models/starcoder2.json               |   32 +
 data/models/starling-lm.json              |   20 +
 data/models/tinydolphin.json              |   20 +
 data/models/tinyllama.json                |   20 +
 data/models/tulu3.json                    |   26 +
 data/models/vicuna.json                   |   32 +
 data/models/wizard-math.json              |   32 +
 data/models/wizard-vicuna-uncensored.json |   32 +
 data/models/wizard-vicuna.json            |   20 +
 data/models/wizardcoder.json              |   20 +
 data/models/wizardlm-uncensored.json      |   20 +
 data/models/wizardlm.json                 |  446 ++
 data/models/wizardlm2.json                |   26 +
 data/models/xwinlm.json                   |   26 +
 data/models/yarn-llama2.json              |   26 +
 data/models/yarn-mistral.json             |   20 +
 data/models/yi-coder.json                 |   26 +
 data/models/yi.json                       |   32 +
 data/models/zephyr.json                   |   26 +
 data/prompts/prompt-gen.md                |   32 +
 eslint.config.mjs                         |   18 +
 hooks/use-chat.ts                         |  106 +
 hooks/use-hardware.ts                     |   28 +
 hooks/use-local-models.ts                 |   43 +
 hooks/use-ollama-check.ts                 |   41 +
 hooks/use-prompt-generator.ts             |   70 +
 hooks/use-system-monitor.ts               |   29 +
 lib/recommendation.ts                     |   54 +
 lib/utils.ts                              |    6 +
 next.config.ts                            |   10 +
 package.json                              |   44 +
 pnpm-lock.yaml                            | 5988 +++++++++++++++++++++
 postcss.config.mjs                        |    7 +
 public/file.svg                           |    1 +
 public/globe.svg                          |    1 +
 public/next.svg                           |    1 +
 public/vercel.svg                         |    1 +
 public/window.svg                         |    1 +
 src-tauri/.gitignore                      |    4 +
 src-tauri/Cargo.lock                      | 5409 +++++++++++++++++++
 src-tauri/Cargo.toml                      |   27 +
 src-tauri/build.rs                        |    3 +
 src-tauri/capabilities/default.json       |   11 +
 src-tauri/icons/128x128.png               |  Bin 0 -> 11059 bytes
 src-tauri/icons/128x128@2x.png            |  Bin 0 -> 23137 bytes
 src-tauri/icons/32x32.png                 |  Bin 0 -> 2225 bytes
 src-tauri/icons/Square107x107Logo.png     |  Bin 0 -> 9202 bytes
 src-tauri/icons/Square142x142Logo.png     |  Bin 0 -> 12530 bytes
 src-tauri/icons/Square150x150Logo.png     |  Bin 0 -> 13032 bytes
 src-tauri/icons/Square284x284Logo.png     |  Bin 0 -> 25943 bytes
 src-tauri/icons/Square30x30Logo.png       |  Bin 0 -> 2078 bytes
 src-tauri/icons/Square310x310Logo.png     |  Bin 0 -> 28507 bytes
 src-tauri/icons/Square44x44Logo.png       |  Bin 0 -> 3419 bytes
 src-tauri/icons/Square71x71Logo.png       |  Bin 0 -> 6027 bytes
 src-tauri/icons/Square89x89Logo.png       |  Bin 0 -> 7551 bytes
 src-tauri/icons/StoreLogo.png             |  Bin 0 -> 3971 bytes
 src-tauri/icons/icon.icns                 |  Bin 0 -> 277003 bytes
 src-tauri/icons/icon.ico                  |  Bin 0 -> 37710 bytes
 src-tauri/icons/icon.png                  |  Bin 0 -> 49979 bytes
 src-tauri/src/lib.rs                      |  230 +
 src-tauri/src/main.rs                     |    6 +
 src-tauri/tauri.conf.json                 |   37 +
 tsconfig.json                             |   34 +
 261 files changed, 19968 insertions(+)
 create mode 100644 .gitignore
 create mode 100644 README.md
 create mode 100644 app/chat/page.tsx
 create mode 100644 app/favicon.ico
 create mode 100644 app/globals.css
 create mode 100644 app/layout.tsx
 create mode 100644 app/page.tsx
 create mode 100644 app/setup/page.tsx
 create mode 100644 components.json
 create mode 100644 components/chat/chat-input.tsx
 create mode 100644 components/chat/chat-message.tsx
 create mode 100644 components/chat/prompt-generator.tsx
 create mode 100644 components/chat/system-panel.tsx
 create mode 100644 components/landing/hero.tsx
 create mode 100644 components/landing/stopped-card.tsx
 create mode 100644 components/modals/install-modal.tsx
 create mode 100644 components/setup/hardware-scan.tsx
 create mode 100644 components/setup/model-selector.tsx
 create mode 100644 components/theme-provider.tsx
 create mode 100644 components/ui/badge.tsx
 create mode 100644 components/ui/button.tsx
 create mode 100644 components/ui/card.tsx
 create mode 100644 components/ui/dialog.tsx
 create mode 100644 components/ui/progress.tsx
 create mode 100644 components/ui/resizable.tsx
 create mode 100644 components/ui/select.tsx
 create mode 100644 components/ui/separator.tsx
 create mode 100644 components/ui/tabs.tsx
 create mode 100644 components/ui/textarea.tsx
 create mode 100644 data/models/alfred.json
 create mode 100644 data/models/all-minilm.json
 create mode 100644 data/models/athene-v2.json
 create mode 100644 data/models/aya-expanse.json
 create mode 100644 data/models/aya.json
 create mode 100644 data/models/bakllava.json
 create mode 100644 data/models/bespoke-minicheck.json
 create mode 100644 data/models/bge-large.json
 create mode 100644 data/models/bge-m3.json
 create mode 100644 data/models/codebooga.json
 create mode 100644 data/models/codegeex4.json
 create mode 100644 data/models/codegemma.json
 create mode 100644 data/models/codellama.json
 create mode 100644 data/models/codeqwen.json
 create mode 100644 data/models/codestral.json
 create mode 100644 data/models/codeup.json
 create mode 100644 data/models/cogito.json
 create mode 100644 data/models/command-a.json
 create mode 100644 data/models/command-r-plus.json
 create mode 100644 data/models/command-r.json
 create mode 100644 data/models/command-r7b-arabic.json
 create mode 100644 data/models/command-r7b.json
 create mode 100644 data/models/dbrx.json
 create mode 100644 data/models/deepcoder.json
 create mode 100644 data/models/deepscaler.json
 create mode 100644 data/models/deepseek-coder-v2.json
 create mode 100644 data/models/deepseek-coder.json
 create mode 100644 data/models/deepseek-llm.json
 create mode 100644 data/models/deepseek-r1.json
 create mode 100644 data/models/deepseek-v2.5.json
 create mode 100644 data/models/deepseek-v2.json
 create mode 100644 data/models/deepseek-v3.1.json
 create mode 100644 data/models/deepseek-v3.json
 create mode 100644 data/models/devstral.json
 create mode 100644 data/models/dolphin-llama3.json
 create mode 100644 data/models/dolphin-mistral.json
 create mode 100644 data/models/dolphin-mixtral.json
 create mode 100644 data/models/dolphin-phi.json
 create mode 100644 data/models/dolphin3.json
 create mode 100644 data/models/dolphincoder.json
 create mode 100644 data/models/duckdb-nsql.json
 create mode 100644 data/models/embeddinggemma.json
 create mode 100644 data/models/everythinglm.json
 create mode 100644 data/models/exaone-deep.json
 create mode 100644 data/models/exaone3.5.json
 create mode 100644 data/models/falcon.json
 create mode 100644 data/models/falcon2.json
 create mode 100644 data/models/falcon3.json
 create mode 100644 data/models/firefunction-v2.json
 create mode 100644 data/models/gemini-3-pro-preview.json
 create mode 100644 data/models/gemma.json
 create mode 100644 data/models/gemma2.json
 create mode 100644 data/models/gemma3.json
 create mode 100644 data/models/gemma3n.json
 create mode 100644 data/models/glm-4.6.json
 create mode 100644 data/models/glm4.json
 create mode 100644 data/models/goliath.json
 create mode 100644 data/models/gpt-oss-safeguard.json
 create mode 100644 data/models/gpt-oss.json
 create mode 100644 data/models/granite-code.json
 create mode 100644 data/models/granite-embedding.json
 create mode 100644 data/models/granite3-dense.json
 create mode 100644 data/models/granite3-guardian.json
 create mode 100644 data/models/granite3-moe.json
 create mode 100644 data/models/granite3.1-dense.json
 create mode 100644 data/models/granite3.1-moe.json
 create mode 100644 data/models/granite3.2-vision.json
 create mode 100644 data/models/granite3.2.json
 create mode 100644 data/models/granite3.3.json
 create mode 100644 data/models/granite4.json
 create mode 100644 data/models/hermes3.json
 create mode 100644 data/models/internlm2.json
 create mode 100644 data/models/kimi-k2-thinking.json
 create mode 100644 data/models/kimi-k2.json
 create mode 100644 data/models/llama-guard3.json
 create mode 100644 data/models/llama-pro.json
 create mode 100644 data/models/llama2-chinese.json
 create mode 100644 data/models/llama2-uncensored.json
 create mode 100644 data/models/llama2.json
 create mode 100644 data/models/llama3-chatqa.json
 create mode 100644 data/models/llama3-gradient.json
 create mode 100644 data/models/llama3-groq-tool-use.json
 create mode 100644 data/models/llama3.1.json
 create mode 100644 data/models/llama3.2-vision.json
 create mode 100644 data/models/llama3.2.json
 create mode 100644 data/models/llama3.3.json
 create mode 100644 data/models/llama3.json
 create mode 100644 data/models/llama4.json
 create mode 100644 data/models/llava-llama3.json
 create mode 100644 data/models/llava-phi3.json
 create mode 100644 data/models/llava.json
 create mode 100644 data/models/magicoder.json
 create mode 100644 data/models/magistral.json
 create mode 100644 data/models/marco-o1.json
 create mode 100644 data/models/mathstral.json
 create mode 100644 data/models/meditron.json
 create mode 100644 data/models/medllama2.json
 create mode 100644 data/models/megadolphin.json
 create mode 100644 data/models/minicpm-v.json
 create mode 100644 data/models/minimax-m2.json
 create mode 100644 data/models/mistral-large.json
 create mode 100644 data/models/mistral-nemo.json
 create mode 100644 data/models/mistral-openorca.json
 create mode 100644 data/models/mistral-small.json
 create mode 100644 data/models/mistral-small3.1.json
 create mode 100644 data/models/mistral-small3.2.json
 create mode 100644 data/models/mistral.json
 create mode 100644 data/models/mistrallite.json
 create mode 100644 data/models/mixtral.json
 create mode 100644 data/models/moondream.json
 create mode 100644 data/models/mxbai-embed-large.json
 create mode 100644 data/models/nemotron-mini.json
 create mode 100644 data/models/nemotron.json
 create mode 100644 data/models/neural-chat.json
 create mode 100644 data/models/nexusraven.json
 create mode 100644 data/models/nomic-embed-text.json
 create mode 100644 data/models/notus.json
 create mode 100644 data/models/notux.json
 create mode 100644 data/models/nous-hermes.json
 create mode 100644 data/models/nous-hermes2-mixtral.json
 create mode 100644 data/models/nous-hermes2.json
 create mode 100644 data/models/nuextract.json
 create mode 100644 data/models/olmo2.json
 create mode 100644 data/models/open-orca-platypus2.json
 create mode 100644 data/models/openchat.json
 create mode 100644 data/models/opencoder.json
 create mode 100644 data/models/openhermes.json
 create mode 100644 data/models/openthinker.json
 create mode 100644 data/models/orca-mini.json
 create mode 100644 data/models/orca2.json
 create mode 100644 data/models/paraphrase-multilingual.json
 create mode 100644 data/models/phi.json
 create mode 100644 data/models/phi3.5.json
 create mode 100644 data/models/phi3.json
 create mode 100644 data/models/phi4-mini-reasoning.json
 create mode 100644 data/models/phi4-mini.json
 create mode 100644 data/models/phi4-reasoning.json
 create mode 100644 data/models/phi4.json
 create mode 100644 data/models/phind-codellama.json
 create mode 100644 data/models/qwen.json
 create mode 100644 data/models/qwen2-math.json
 create mode 100644 data/models/qwen2.5-coder.json
 create mode 100644 data/models/qwen2.5.json
 create mode 100644 data/models/qwen2.5vl.json
 create mode 100644 data/models/qwen2.json
 create mode 100644 data/models/qwen3-coder.json
 create mode 100644 data/models/qwen3-embedding.json
 create mode 100644 data/models/qwen3-vl.json
 create mode 100644 data/models/qwen3.json
 create mode 100644 data/models/qwq.json
 create mode 100644 data/models/r1-1776.json
 create mode 100644 data/models/reader-lm.json
 create mode 100644 data/models/reflection.json
 create mode 100644 data/models/sailor2.json
 create mode 100644 data/models/samantha-mistral.json
 create mode 100644 data/models/shieldgemma.json
 create mode 100644 data/models/smallthinker.json
 create mode 100644 data/models/smollm.json
 create mode 100644 data/models/smollm2.json
 create mode 100644 data/models/snowflake-arctic-embed.json
 create mode 100644 data/models/snowflake-arctic-embed2.json
 create mode 100644 data/models/solar-pro.json
 create mode 100644 data/models/solar.json
 create mode 100644 data/models/sqlcoder.json
 create mode 100644 data/models/stable-beluga.json
 create mode 100644 data/models/stable-code.json
 create mode 100644 data/models/stablelm-zephyr.json
 create mode 100644 data/models/stablelm2.json
 create mode 100644 data/models/starcoder.json
 create mode 100644 data/models/starcoder2.json
 create mode 100644 data/models/starling-lm.json
 create mode 100644 data/models/tinydolphin.json
 create mode 100644 data/models/tinyllama.json
 create mode 100644 data/models/tulu3.json
 create mode 100644 data/models/vicuna.json
 create mode 100644 data/models/wizard-math.json
 create mode 100644 data/models/wizard-vicuna-uncensored.json
 create mode 100644 data/models/wizard-vicuna.json
 create mode 100644 data/models/wizardcoder.json
 create mode 100644 data/models/wizardlm-uncensored.json
 create mode 100644 data/models/wizardlm.json
 create mode 100644 data/models/wizardlm2.json
 create mode 100644 data/models/xwinlm.json
 create mode 100644 data/models/yarn-llama2.json
 create mode 100644 data/models/yarn-mistral.json
 create mode 100644 data/models/yi-coder.json
 create mode 100644 data/models/yi.json
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 create mode 100644 hooks/use-chat.ts
 create mode 100644 hooks/use-hardware.ts
 create mode 100644 hooks/use-local-models.ts
 create mode 100644 hooks/use-ollama-check.ts
 create mode 100644 hooks/use-prompt-generator.ts
 create mode 100644 hooks/use-system-monitor.ts
 create mode 100644 lib/recommendation.ts
 create mode 100644 lib/utils.ts
 create mode 100644 next.config.ts
 create mode 100644 package.json
 create mode 100644 pnpm-lock.yaml
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 create mode 100644 public/next.svg
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 create mode 100644 public/window.svg
 create mode 100644 src-tauri/.gitignore
 create mode 100644 src-tauri/Cargo.lock
 create mode 100644 src-tauri/Cargo.toml
 create mode 100644 src-tauri/build.rs
 create mode 100644 src-tauri/capabilities/default.json
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diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..5ef6a52
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,41 @@
+# See https://help.github.com/articles/ignoring-files/ for more about ignoring files.
+
+# dependencies
+/node_modules
+/.pnp
+.pnp.*
+.yarn/*
+!.yarn/patches
+!.yarn/plugins
+!.yarn/releases
+!.yarn/versions
+
+# testing
+/coverage
+
+# next.js
+/.next/
+/out/
+
+# production
+/build
+
+# misc
+.DS_Store
+*.pem
+
+# debug
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*
+.pnpm-debug.log*
+
+# env files (can opt-in for committing if needed)
+.env*
+
+# vercel
+.vercel
+
+# typescript
+*.tsbuildinfo
+next-env.d.ts
diff --git a/README.md b/README.md
new file mode 100644
index 0000000..e215bc4
--- /dev/null
+++ b/README.md
@@ -0,0 +1,36 @@
+This is a [Next.js](https://nextjs.org) project bootstrapped with [`create-next-app`](https://nextjs.org/docs/app/api-reference/cli/create-next-app).
+
+## Getting Started
+
+First, run the development server:
+
+```bash
+npm run dev
+# or
+yarn dev
+# or
+pnpm dev
+# or
+bun dev
+```
+
+Open [http://localhost:3000](http://localhost:3000) with your browser to see the result.
+
+You can start editing the page by modifying `app/page.tsx`. The page auto-updates as you edit the file.
+
+This project uses [`next/font`](https://nextjs.org/docs/app/building-your-application/optimizing/fonts) to automatically optimize and load [Geist](https://vercel.com/font), a new font family for Vercel.
+
+## Learn More
+
+To learn more about Next.js, take a look at the following resources:
+
+- [Next.js Documentation](https://nextjs.org/docs) - learn about Next.js features and API.
+- [Learn Next.js](https://nextjs.org/learn) - an interactive Next.js tutorial.
+
+You can check out [the Next.js GitHub repository](https://github.com/vercel/next.js) - your feedback and contributions are welcome!
+
+## Deploy on Vercel
+
+The easiest way to deploy your Next.js app is to use the [Vercel Platform](https://vercel.com/new?utm_medium=default-template&filter=next.js&utm_source=create-next-app&utm_campaign=create-next-app-readme) from the creators of Next.js.
+
+Check out our [Next.js deployment documentation](https://nextjs.org/docs/app/building-your-application/deploying) for more details.
diff --git a/app/chat/page.tsx b/app/chat/page.tsx
new file mode 100644
index 0000000..345b630
--- /dev/null
+++ b/app/chat/page.tsx
@@ -0,0 +1,208 @@
+'use client';
+
+import { ResizableHandle, ResizablePanel, ResizablePanelGroup } from "@/components/ui/resizable";
+import { Tabs, TabsContent, TabsList, TabsTrigger } from "@/components/ui/tabs";
+import { Button } from "@/components/ui/button";
+import { Textarea } from "@/components/ui/textarea";
+import { Select, SelectContent, SelectItem, SelectTrigger, SelectValue } from "@/components/ui/select";
+import { MessageSquare, Settings, Server, Moon, Sun, PanelLeftClose, PanelLeftOpen } from "lucide-react";
+import { ChatInput } from "@/components/chat/chat-input";
+import { ChatMessage } from "@/components/chat/chat-message";
+import { SystemPanel } from "@/components/chat/system-panel";
+import { PromptGeneratorDialog } from "@/components/chat/prompt-generator";
+import { useChat } from "@/hooks/use-chat";
+import { useLocalModels } from "@/hooks/use-local-models";
+import { useState, useEffect, useRef } from "react";
+import { useTheme } from "next-themes";
+import { ImperativePanelHandle } from "react-resizable-panels";
+
+export default function ChatPage() {
+  const { messages, sendMessage, isLoading, stop } = useChat();
+  const { models } = useLocalModels();
+  const { theme, setTheme } = useTheme();
+  
+  const [selectedModel, setSelectedModel] = useState("");
+  const [systemPrompt, setSystemPrompt] = useState("Você é um assistente útil e prestativo.");
+  const [isSidebarCollapsed, setIsSidebarCollapsed] = useState(false);
+  
+  const sidebarRef = useRef<ImperativePanelHandle>(null);
+
+  // Auto-select first model
+  useEffect(() => {
+    if (models.length > 0 && !selectedModel) {
+      setSelectedModel(models[0].name);
+    }
+  }, [models, selectedModel]);
+
+  const handleSend = (content: string) => {
+    if (!selectedModel) return;
+    sendMessage(content, selectedModel, systemPrompt);
+  };
+
+  const toggleSidebar = () => {
+    const panel = sidebarRef.current;
+    if (panel) {
+      if (isSidebarCollapsed) {
+        panel.expand();
+      } else {
+        panel.collapse();
+      }
+    }
+  };
+
+  return (
+    <div className="h-screen w-full bg-background overflow-hidden flex">
+      {/* Left Sidebar (Nav) */}
+      <ResizablePanelGroup direction="horizontal" className="flex-1">
+        
+        <ResizablePanel 
+          ref={sidebarRef}
+          defaultSize={4} 
+          minSize={4} 
+          maxSize={15} 
+          collapsible={true}
+          collapsedSize={0}
+          onCollapse={() => setIsSidebarCollapsed(true)}
+          onExpand={() => setIsSidebarCollapsed(false)}
+          className="border-r flex flex-col items-center py-4 gap-4 bg-muted/20 min-w-[60px]"
+        >
+          <Button variant="ghost" size="icon" className="rounded-lg bg-primary/10 text-primary">
+            <MessageSquare className="w-5 h-5" />
+          </Button>
+          <Button variant="ghost" size="icon" className="rounded-lg text-muted-foreground hover:text-foreground">
+            <Server className="w-5 h-5" />
+          </Button>
+          <div className="flex-1" />
+          <Button 
+            variant="ghost" 
+            size="icon" 
+            onClick={() => setTheme(theme === "dark" ? "light" : "dark")}
+            className="rounded-lg text-muted-foreground hover:text-foreground"
+          >
+            {theme === "dark" ? <Sun className="w-5 h-5" /> : <Moon className="w-5 h-5" />}
+          </Button>
+          <Button variant="ghost" size="icon" className="rounded-lg text-muted-foreground hover:text-foreground">
+            <Settings className="w-5 h-5" />
+          </Button>
+        </ResizablePanel>
+
+        <ResizableHandle />
+
+        {/* Main Chat Area */}
+        <ResizablePanel defaultSize={75} minSize={50}>
+          <div className="h-full flex flex-col">
+            {/* Header */}
+            <div className="h-14 border-b flex items-center px-4 justify-between bg-background/50 backdrop-blur gap-4">
+              <div className="flex items-center gap-2">
+                {isSidebarCollapsed && (
+                  <Button variant="ghost" size="icon" onClick={toggleSidebar} className="h-8 w-8">
+                    <PanelLeftOpen className="w-4 h-4" />
+                  </Button>
+                )}
+                {!isSidebarCollapsed && (
+                   <Button variant="ghost" size="icon" onClick={toggleSidebar} className="h-8 w-8 text-muted-foreground">
+                    <PanelLeftClose className="w-4 h-4" />
+                  </Button>
+                )}
+                <div className="font-semibold">Chat</div>
+              </div>
+
+              <div className="flex-1 max-w-[300px]">
+                 <Select value={selectedModel} onValueChange={setSelectedModel}>
+                  <SelectTrigger className="h-9">
+                    <SelectValue placeholder="Selecione um modelo..." />
+                  </SelectTrigger>
+                  <SelectContent>
+                    {models.map(m => (
+                      <SelectItem key={m.name} value={m.name}>{m.name}</SelectItem>
+                    ))}
+                  </SelectContent>
+                </Select>
+              </div>
+            </div>
+
+            {/* Messages */}
+            <div className="flex-1 overflow-y-auto scroll-smooth">
+              {messages.length === 0 ? (
+                <div className="h-full flex flex-col items-center justify-center text-muted-foreground space-y-4">
+                  <div className="p-4 rounded-full bg-muted/50">
+                    <MessageSquare className="w-8 h-8" />
+                  </div>
+                  <p>Inicie uma conversa com {selectedModel}</p>
+                </div>
+              ) : (
+                <div className="flex flex-col pb-4">
+                  {messages.map((msg, i) => (
+                    <ChatMessage key={i} message={msg} />
+                  ))}
+                  {isLoading && (
+                    <div className="px-6 py-4 text-xs text-muted-foreground animate-pulse">
+                      Gerando resposta...
+                    </div>
+                  )}
+                </div>
+              )}
+            </div>
+
+            {/* Input */}
+            <ChatInput 
+              onSend={handleSend} 
+              onStop={stop} 
+              isLoading={isLoading} 
+            />
+          </div>
+        </ResizablePanel>
+
+        <ResizableHandle withHandle />
+
+        {/* Right Sidebar (Settings & Monitor) */}
+        <ResizablePanel defaultSize={25} minSize={20} maxSize={40} className="bg-muted/10">
+          <Tabs defaultValue="params" className="h-full flex flex-col">
+            <div className="border-b px-4">
+              <TabsList className="w-full justify-start h-12 bg-transparent p-0 gap-4">
+                <TabsTrigger 
+                  value="params" 
+                  className="data-[state=active]:bg-transparent data-[state=active]:shadow-none data-[state=active]:border-b-2 data-[state=active]:border-primary rounded-none px-0"
+                >
+                  Parâmetros
+                </TabsTrigger>
+                <TabsTrigger 
+                  value="system" 
+                  className="data-[state=active]:bg-transparent data-[state=active]:shadow-none data-[state=active]:border-b-2 data-[state=active]:border-primary rounded-none px-0"
+                >
+                  Sistema
+                </TabsTrigger>
+              </TabsList>
+            </div>
+
+            <TabsContent value="params" className="flex-1 p-4 space-y-6 overflow-y-auto m-0">
+              <div className="space-y-2">
+                <div className="flex items-center justify-between">
+                  <label className="text-sm font-medium">System Prompt</label>
+                  <PromptGeneratorDialog 
+                    defaultModel={selectedModel} 
+                    onPromptGenerated={setSystemPrompt} 
+                  />
+                </div>
+                <Textarea 
+                  value={systemPrompt}
+                  onChange={(e) => setSystemPrompt(e.target.value)}
+                  className="min-h-[300px] resize-none font-mono text-sm"
+                  placeholder="Defina como a IA deve se comportar..."
+                />
+                <p className="text-xs text-muted-foreground">
+                  Instruções globais para o comportamento do modelo.
+                </p>
+              </div>
+            </TabsContent>
+
+            <TabsContent value="system" className="flex-1 m-0 overflow-hidden">
+              <SystemPanel />
+            </TabsContent>
+          </Tabs>
+        </ResizablePanel>
+
+      </ResizablePanelGroup>
+    </div>
+  );
+}
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diff --git a/app/globals.css b/app/globals.css
new file mode 100644
index 0000000..97afb5e
--- /dev/null
+++ b/app/globals.css
@@ -0,0 +1,122 @@
+@import "tailwindcss";
+@import "tw-animate-css";
+
+@custom-variant dark (&:is(.dark *));
+
+@theme inline {
+  --color-background: var(--background);
+  --color-foreground: var(--foreground);
+  --font-sans: var(--font-geist-sans);
+  --font-mono: var(--font-geist-mono);
+  --color-sidebar-ring: var(--sidebar-ring);
+  --color-sidebar-border: var(--sidebar-border);
+  --color-sidebar-accent-foreground: var(--sidebar-accent-foreground);
+  --color-sidebar-accent: var(--sidebar-accent);
+  --color-sidebar-primary-foreground: var(--sidebar-primary-foreground);
+  --color-sidebar-primary: var(--sidebar-primary);
+  --color-sidebar-foreground: var(--sidebar-foreground);
+  --color-sidebar: var(--sidebar);
+  --color-chart-5: var(--chart-5);
+  --color-chart-4: var(--chart-4);
+  --color-chart-3: var(--chart-3);
+  --color-chart-2: var(--chart-2);
+  --color-chart-1: var(--chart-1);
+  --color-ring: var(--ring);
+  --color-input: var(--input);
+  --color-border: var(--border);
+  --color-destructive: var(--destructive);
+  --color-accent-foreground: var(--accent-foreground);
+  --color-accent: var(--accent);
+  --color-muted-foreground: var(--muted-foreground);
+  --color-muted: var(--muted);
+  --color-secondary-foreground: var(--secondary-foreground);
+  --color-secondary: var(--secondary);
+  --color-primary-foreground: var(--primary-foreground);
+  --color-primary: var(--primary);
+  --color-popover-foreground: var(--popover-foreground);
+  --color-popover: var(--popover);
+  --color-card-foreground: var(--card-foreground);
+  --color-card: var(--card);
+  --radius-sm: calc(var(--radius) - 4px);
+  --radius-md: calc(var(--radius) - 2px);
+  --radius-lg: var(--radius);
+  --radius-xl: calc(var(--radius) + 4px);
+}
+
+:root {
+  --radius: 0.625rem;
+  --background: oklch(1 0 0);
+  --foreground: oklch(0.141 0.005 285.823);
+  --card: oklch(1 0 0);
+  --card-foreground: oklch(0.141 0.005 285.823);
+  --popover: oklch(1 0 0);
+  --popover-foreground: oklch(0.141 0.005 285.823);
+  --primary: oklch(0.21 0.006 285.885);
+  --primary-foreground: oklch(0.985 0 0);
+  --secondary: oklch(0.967 0.001 286.375);
+  --secondary-foreground: oklch(0.21 0.006 285.885);
+  --muted: oklch(0.967 0.001 286.375);
+  --muted-foreground: oklch(0.552 0.016 285.938);
+  --accent: oklch(0.967 0.001 286.375);
+  --accent-foreground: oklch(0.21 0.006 285.885);
+  --destructive: oklch(0.577 0.245 27.325);
+  --border: oklch(0.92 0.004 286.32);
+  --input: oklch(0.92 0.004 286.32);
+  --ring: oklch(0.705 0.015 286.067);
+  --chart-1: oklch(0.646 0.222 41.116);
+  --chart-2: oklch(0.6 0.118 184.704);
+  --chart-3: oklch(0.398 0.07 227.392);
+  --chart-4: oklch(0.828 0.189 84.429);
+  --chart-5: oklch(0.769 0.188 70.08);
+  --sidebar: oklch(0.985 0 0);
+  --sidebar-foreground: oklch(0.141 0.005 285.823);
+  --sidebar-primary: oklch(0.21 0.006 285.885);
+  --sidebar-primary-foreground: oklch(0.985 0 0);
+  --sidebar-accent: oklch(0.967 0.001 286.375);
+  --sidebar-accent-foreground: oklch(0.21 0.006 285.885);
+  --sidebar-border: oklch(0.92 0.004 286.32);
+  --sidebar-ring: oklch(0.705 0.015 286.067);
+}
+
+.dark {
+  --background: oklch(0.141 0.005 285.823);
+  --foreground: oklch(0.985 0 0);
+  --card: oklch(0.21 0.006 285.885);
+  --card-foreground: oklch(0.985 0 0);
+  --popover: oklch(0.21 0.006 285.885);
+  --popover-foreground: oklch(0.985 0 0);
+  --primary: oklch(0.92 0.004 286.32);
+  --primary-foreground: oklch(0.21 0.006 285.885);
+  --secondary: oklch(0.274 0.006 286.033);
+  --secondary-foreground: oklch(0.985 0 0);
+  --muted: oklch(0.274 0.006 286.033);
+  --muted-foreground: oklch(0.705 0.015 286.067);
+  --accent: oklch(0.274 0.006 286.033);
+  --accent-foreground: oklch(0.985 0 0);
+  --destructive: oklch(0.704 0.191 22.216);
+  --border: oklch(1 0 0 / 10%);
+  --input: oklch(1 0 0 / 15%);
+  --ring: oklch(0.552 0.016 285.938);
+  --chart-1: oklch(0.488 0.243 264.376);
+  --chart-2: oklch(0.696 0.17 162.48);
+  --chart-3: oklch(0.769 0.188 70.08);
+  --chart-4: oklch(0.627 0.265 303.9);
+  --chart-5: oklch(0.645 0.246 16.439);
+  --sidebar: oklch(0.21 0.006 285.885);
+  --sidebar-foreground: oklch(0.985 0 0);
+  --sidebar-primary: oklch(0.488 0.243 264.376);
+  --sidebar-primary-foreground: oklch(0.985 0 0);
+  --sidebar-accent: oklch(0.274 0.006 286.033);
+  --sidebar-accent-foreground: oklch(0.985 0 0);
+  --sidebar-border: oklch(1 0 0 / 10%);
+  --sidebar-ring: oklch(0.552 0.016 285.938);
+}
+
+@layer base {
+  * {
+    @apply border-border outline-ring/50;
+  }
+  body {
+    @apply bg-background text-foreground;
+  }
+}
diff --git a/app/layout.tsx b/app/layout.tsx
new file mode 100644
index 0000000..da5c8c3
--- /dev/null
+++ b/app/layout.tsx
@@ -0,0 +1,42 @@
+import type { Metadata } from "next";
+import { Geist, Geist_Mono } from "next/font/google";
+import "./globals.css";
+import { ThemeProvider } from "@/components/theme-provider";
+
+const geistSans = Geist({
+  variable: "--font-geist-sans",
+  subsets: ["latin"],
+});
+
+const geistMono = Geist_Mono({
+  variable: "--font-geist-mono",
+  subsets: ["latin"],
+});
+
+export const metadata: Metadata = {
+  title: "OllaHub",
+  description: "Interface moderna para Ollama",
+};
+
+export default function RootLayout({
+  children,
+}: Readonly<{
+  children: React.ReactNode;
+}>) {
+  return (
+    <html lang="pt-BR" suppressHydrationWarning>
+      <body
+        className={`${geistSans.variable} ${geistMono.variable} antialiased`}
+      >
+        <ThemeProvider
+          attribute="class"
+          defaultTheme="system"
+          enableSystem
+          disableTransitionOnChange
+        >
+          {children}
+        </ThemeProvider>
+      </body>
+    </html>
+  );
+}
diff --git a/app/page.tsx b/app/page.tsx
new file mode 100644
index 0000000..5acb93f
--- /dev/null
+++ b/app/page.tsx
@@ -0,0 +1,66 @@
+'use client';
+
+import { useOllamaCheck } from "@/hooks/use-ollama-check";
+import { Hero } from "@/components/landing/hero";
+import { InstallModal } from "@/components/modals/install-modal";
+import { StoppedCard } from "@/components/landing/stopped-card";
+import { Loader2 } from "lucide-react";
+import { useRouter } from "next/navigation";
+
+export default function Home() {
+  const { status, check } = useOllamaCheck();
+  const router = useRouter();
+
+  const handleStart = () => {
+    const setupComplete = localStorage.getItem("ollahub_setup_complete");
+    if (setupComplete) {
+      router.push("/chat");
+    } else {
+      router.push("/setup");
+    }
+  };
+
+  if (status === 'checking') {
+    return (
+      <div className="flex h-screen w-full items-center justify-center bg-background">
+        <Loader2 className="h-8 w-8 animate-spin text-primary" />
+        <span className="ml-2 text-muted-foreground">Verificando sistema...</span>
+      </div>
+    );
+  }
+
+  return (
+    <main className="flex min-h-screen flex-col items-center justify-center p-4 bg-background text-foreground transition-colors duration-300">
+      
+      {/* Layout for Running State */}
+      {status === 'running' && (
+        <Hero onStart={handleStart} />
+      )}
+
+      {/* Layout for Stopped State */}
+      {status === 'installed_stopped' && (
+        <div className="flex flex-col items-center gap-8 animate-in fade-in slide-in-from-bottom-4 duration-500">
+           <div className="text-center space-y-2">
+              <h1 className="text-3xl font-bold tracking-tighter">OllaHub</h1>
+              <p className="text-muted-foreground">Detectamos o Ollama, mas ele não está rodando.</p>
+           </div>
+           <StoppedCard onCheckAgain={check} />
+        </div>
+      )}
+
+      {/* Layout for Not Installed State (Background + Modal) */}
+      {status === 'not_installed' && (
+        <>
+          <div className="opacity-20 pointer-events-none blur-sm">
+             <Hero onStart={() => {}} /> 
+          </div>
+          {/* Hero is shown in background, modal is open */}
+          <InstallModal 
+            open={true} 
+            onCheckAgain={check} 
+          />
+        </>
+      )}
+    </main>
+  );
+}
diff --git a/app/setup/page.tsx b/app/setup/page.tsx
new file mode 100644
index 0000000..839cd15
--- /dev/null
+++ b/app/setup/page.tsx
@@ -0,0 +1,41 @@
+'use client';
+
+import { useHardware } from "@/hooks/use-hardware";
+import { HardwareScan } from "@/components/setup/hardware-scan";
+import { ModelSelector } from "@/components/setup/model-selector";
+import { getRecommendation } from "@/lib/recommendation";
+import { useRouter } from "next/navigation";
+
+export default function SetupPage() {
+  const { specs, loading } = useHardware();
+  const router = useRouter();
+
+  const handleComplete = () => {
+    // Save setup state if needed
+    localStorage.setItem("ollahub_setup_complete", "true");
+    router.push("/chat");
+  };
+
+  return (
+    <main className="flex min-h-screen flex-col items-center justify-center p-4 bg-background text-foreground">
+      <div className="w-full max-w-2xl space-y-8 animate-in fade-in duration-700">
+        <div className="text-center space-y-2">
+          <h1 className="text-3xl font-bold tracking-tighter">Configuração Inicial</h1>
+          <p className="text-muted-foreground">Vamos preparar o ambiente ideal para você.</p>
+        </div>
+
+        <HardwareScan specs={specs} loading={loading} />
+
+        {!loading && specs && (
+          <div className="animate-in slide-in-from-bottom-8 duration-700 delay-300 fill-mode-backwards">
+            <ModelSelector 
+              recommendation={getRecommendation(specs)} 
+              onComplete={handleComplete}
+            />
+          </div>
+        )}
+      </div>
+    </main>
+  );
+}
+
diff --git a/components.json b/components.json
new file mode 100644
index 0000000..d5005f0
--- /dev/null
+++ b/components.json
@@ -0,0 +1,22 @@
+{
+  "$schema": "https://ui.shadcn.com/schema.json",
+  "style": "new-york",
+  "rsc": true,
+  "tsx": true,
+  "tailwind": {
+    "config": "",
+    "css": "app/globals.css",
+    "baseColor": "zinc",
+    "cssVariables": true,
+    "prefix": ""
+  },
+  "iconLibrary": "lucide",
+  "aliases": {
+    "components": "@/components",
+    "utils": "@/lib/utils",
+    "ui": "@/components/ui",
+    "lib": "@/lib",
+    "hooks": "@/hooks"
+  },
+  "registries": {}
+}
diff --git a/components/chat/chat-input.tsx b/components/chat/chat-input.tsx
new file mode 100644
index 0000000..96424a1
--- /dev/null
+++ b/components/chat/chat-input.tsx
@@ -0,0 +1,72 @@
+import { Button } from "@/components/ui/button";
+import { Textarea } from "@/components/ui/textarea";
+import { Send, Square } from "lucide-react";
+import { useState, useRef, useEffect } from "react";
+
+interface ChatInputProps {
+  onSend: (message: string) => void;
+  onStop: () => void;
+  isLoading: boolean;
+}
+
+export function ChatInput({ onSend, onStop, isLoading }: ChatInputProps) {
+  const [input, setInput] = useState("");
+  const textareaRef = useRef<HTMLTextAreaElement>(null);
+
+  const handleKeyDown = (e: React.KeyboardEvent) => {
+    if (e.key === "Enter" && !e.shiftKey) {
+      e.preventDefault();
+      handleSend();
+    }
+  };
+
+  const handleSend = () => {
+    if (input.trim() && !isLoading) {
+      onSend(input);
+      setInput("");
+    }
+  };
+
+  useEffect(() => {
+    if (textareaRef.current) {
+      textareaRef.current.style.height = "auto";
+      textareaRef.current.style.height = `${textareaRef.current.scrollHeight}px`;
+    }
+  }, [input]);
+
+  return (
+    <div className="p-4 border-t bg-background">
+      <div className="relative flex items-end gap-2 max-w-3xl mx-auto">
+        <Textarea
+          ref={textareaRef}
+          value={input}
+          onChange={(e) => setInput(e.target.value)}
+          onKeyDown={handleKeyDown}
+          placeholder="Digite sua mensagem..."
+          className="min-h-[50px] max-h-[200px] resize-none pr-12 py-3"
+          rows={1}
+        />
+        <div className="absolute right-2 bottom-2">
+          {isLoading ? (
+            <Button size="icon" variant="destructive" onClick={onStop} className="h-8 w-8">
+              <Square className="h-4 w-4 fill-current" />
+            </Button>
+          ) : (
+            <Button 
+              size="icon" 
+              onClick={handleSend} 
+              disabled={!input.trim()} 
+              className="h-8 w-8"
+            >
+              <Send className="h-4 w-4" />
+            </Button>
+          )}
+        </div>
+      </div>
+      <div className="text-xs text-center text-muted-foreground mt-2">
+        OllaHub pode cometer erros. Verifique informações importantes.
+      </div>
+    </div>
+  );
+}
+
diff --git a/components/chat/chat-message.tsx b/components/chat/chat-message.tsx
new file mode 100644
index 0000000..2eff8b3
--- /dev/null
+++ b/components/chat/chat-message.tsx
@@ -0,0 +1,33 @@
+import ReactMarkdown from 'react-markdown';
+import remarkGfm from 'remark-gfm';
+import { cn } from "@/lib/utils";
+import { Message } from "@/hooks/use-chat";
+import { Bot, User } from "lucide-react";
+
+export function ChatMessage({ message }: { message: Message }) {
+  const isUser = message.role === 'user';
+
+  return (
+    <div className={cn(
+      "flex w-full gap-4 p-6",
+      isUser ? "bg-background" : "bg-muted/30"
+    )}>
+      <div className="flex-shrink-0 mt-1">
+        <div className={cn(
+          "w-8 h-8 rounded-sm flex items-center justify-center",
+          isUser ? "bg-primary text-primary-foreground" : "bg-secondary text-secondary-foreground"
+        )}>
+          {isUser ? <User className="w-5 h-5" /> : <Bot className="w-5 h-5" />}
+        </div>
+      </div>
+      <div className="flex-1 overflow-hidden">
+        <div className="prose dark:prose-invert max-w-none break-words">
+          <ReactMarkdown remarkPlugins={[remarkGfm]}>
+            {message.content}
+          </ReactMarkdown>
+        </div>
+      </div>
+    </div>
+  );
+}
+
diff --git a/components/chat/prompt-generator.tsx b/components/chat/prompt-generator.tsx
new file mode 100644
index 0000000..d22b184
--- /dev/null
+++ b/components/chat/prompt-generator.tsx
@@ -0,0 +1,114 @@
+import { Dialog, DialogContent, DialogDescription, DialogFooter, DialogHeader, DialogTitle, DialogTrigger } from "@/components/ui/dialog";
+import { Button } from "@/components/ui/button";
+import { Textarea } from "@/components/ui/textarea";
+import { Select, SelectContent, SelectItem, SelectTrigger, SelectValue } from "@/components/ui/select";
+import { Sparkles, Loader2 } from "lucide-react";
+import { useState, useEffect } from "react";
+import { usePromptGenerator } from "@/hooks/use-prompt-generator";
+import { useLocalModels } from "@/hooks/use-local-models";
+
+interface PromptGeneratorDialogProps {
+  defaultModel: string;
+  onPromptGenerated: (prompt: string) => void;
+}
+
+export function PromptGeneratorDialog({ defaultModel, onPromptGenerated }: PromptGeneratorDialogProps) {
+  const [open, setOpen] = useState(false);
+  const [goal, setGoal] = useState("");
+  const [selectedModel, setSelectedModel] = useState(defaultModel);
+  const { generatePrompt, isGenerating } = usePromptGenerator();
+  const { models } = useLocalModels();
+
+  // Set default model when dialog opens or defaultModel changes
+  useEffect(() => {
+    if (defaultModel) {
+      setSelectedModel(defaultModel);
+    }
+  }, [defaultModel]);
+
+  // Try to set specific default if available, otherwise fallback
+  useEffect(() => {
+    const preferredModel = "llama3.2-abliterate:3b";
+    const hasPreferred = models.some(m => m.name === preferredModel);
+    if (hasPreferred && !selectedModel) {
+      setSelectedModel(preferredModel);
+    }
+  }, [models, selectedModel]);
+
+  const handleGenerate = async () => {
+    if (!goal.trim() || !selectedModel) return;
+    
+    try {
+      const prompt = await generatePrompt(goal, selectedModel);
+      onPromptGenerated(prompt);
+      setOpen(false);
+      setGoal("");
+    } catch (error) {
+      // Error handling usually done in hook or global toast
+    }
+  };
+
+  return (
+    <Dialog open={open} onOpenChange={setOpen}>
+      <DialogTrigger asChild>
+        <Button variant="ghost" size="icon" className="h-6 w-6 text-yellow-500 hover:text-yellow-600 hover:bg-yellow-100 dark:hover:bg-yellow-900/20" title="Gerar com IA">
+          <Sparkles className="w-4 h-4" />
+        </Button>
+      </DialogTrigger>
+      <DialogContent className="sm:max-w-[500px]">
+        <DialogHeader>
+          <DialogTitle>Gerador de Prompts</DialogTitle>
+          <DialogDescription>
+            Descreva o que você quer que a IA faça, e nós criaremos um System Prompt otimizado para você.
+          </DialogDescription>
+        </DialogHeader>
+        
+        <div className="space-y-4 py-4">
+          <div className="space-y-2">
+            <label className="text-sm font-medium">Modelo para Geração</label>
+            <Select value={selectedModel} onValueChange={setSelectedModel}>
+              <SelectTrigger>
+                <SelectValue placeholder="Selecione um modelo..." />
+              </SelectTrigger>
+              <SelectContent>
+                {models.map(m => (
+                  <SelectItem key={m.name} value={m.name}>{m.name}</SelectItem>
+                ))}
+              </SelectContent>
+            </Select>
+            <p className="text-xs text-muted-foreground">
+              Recomendado: Modelos com boa capacidade de instrução (ex: Llama 3, Mistral).
+            </p>
+          </div>
+
+          <div className="space-y-2">
+            <label className="text-sm font-medium">Seu Objetivo</label>
+            <Textarea
+              value={goal}
+              onChange={(e) => setGoal(e.target.value)}
+              placeholder="Ex: Quero um assistente especialista em Python que explique conceitos complexos de forma simples..."
+              className="min-h-[150px]"
+            />
+          </div>
+        </div>
+
+        <DialogFooter>
+          <Button variant="ghost" onClick={() => setOpen(false)}>Cancelar</Button>
+          <Button onClick={handleGenerate} disabled={isGenerating || !goal.trim() || !selectedModel}>
+            {isGenerating ? (
+              <>
+                <Loader2 className="mr-2 h-4 w-4 animate-spin" />
+                Gerando...
+              </>
+            ) : (
+              <>
+                <Sparkles className="mr-2 h-4 w-4" />
+                Gerar Prompt
+              </>
+            )}
+          </Button>
+        </DialogFooter>
+      </DialogContent>
+    </Dialog>
+  );
+}
diff --git a/components/chat/system-panel.tsx b/components/chat/system-panel.tsx
new file mode 100644
index 0000000..82eb80f
--- /dev/null
+++ b/components/chat/system-panel.tsx
@@ -0,0 +1,105 @@
+import { Card, CardContent, CardHeader, CardTitle } from "@/components/ui/card";
+import { Progress } from "@/components/ui/progress";
+import { Button } from "@/components/ui/button";
+import { Trash2, HardDrive, Cpu, Database } from "lucide-react";
+import { useSystemMonitor } from "@/hooks/use-system-monitor";
+import { useLocalModels } from "@/hooks/use-local-models";
+
+export function SystemPanel() {
+  const stats = useSystemMonitor();
+  const { models, deleteModel, refresh } = useLocalModels();
+
+  const ramUsagePercent = stats 
+    ? (stats.memory_used / stats.memory_total) * 100 
+    : 0;
+
+  const formatBytes = (bytes: number) => {
+    const gb = bytes / (1024 * 1024 * 1024);
+    return `${gb.toFixed(1)} GB`;
+  };
+
+  return (
+    <div className="h-full overflow-y-auto p-4 space-y-6">
+      {/* Hardware Stats */}
+      <div className="space-y-4">
+        <h3 className="text-sm font-medium text-muted-foreground uppercase tracking-wider">
+          Monitoramento
+        </h3>
+        
+        <Card>
+          <CardHeader className="pb-2">
+            <CardTitle className="text-sm font-medium flex items-center gap-2">
+              <Cpu className="w-4 h-4" /> Processador
+            </CardTitle>
+          </CardHeader>
+          <CardContent>
+            <div className="flex justify-between text-xs mb-1">
+              <span>Uso</span>
+              <span>{stats?.cpu_usage.toFixed(1)}%</span>
+            </div>
+            <Progress value={stats?.cpu_usage || 0} className="h-2" />
+          </CardContent>
+        </Card>
+
+        <Card>
+          <CardHeader className="pb-2">
+            <CardTitle className="text-sm font-medium flex items-center gap-2">
+              <HardDrive className="w-4 h-4" /> Memória RAM
+            </CardTitle>
+          </CardHeader>
+          <CardContent>
+            <div className="flex justify-between text-xs mb-1">
+              <span>{stats ? formatBytes(stats.memory_used) : '-'}</span>
+              <span>{stats ? formatBytes(stats.memory_total) : '-'}</span>
+            </div>
+            <Progress value={ramUsagePercent} className="h-2" />
+          </CardContent>
+        </Card>
+      </div>
+
+      {/* Models List */}
+      <div className="space-y-4">
+        <div className="flex items-center justify-between">
+          <h3 className="text-sm font-medium text-muted-foreground uppercase tracking-wider">
+            Modelos Instalados
+          </h3>
+          <Button variant="ghost" size="sm" onClick={refresh} className="h-6 text-xs">
+            Atualizar
+          </Button>
+        </div>
+
+        <div className="space-y-2">
+          {models.map((model) => (
+            <Card key={model.id} className="overflow-hidden">
+              <CardContent className="p-3 flex items-center justify-between">
+                <div className="min-w-0">
+                  <div className="font-medium text-sm truncate" title={model.name}>
+                    {model.name}
+                  </div>
+                  <div className="text-xs text-muted-foreground flex items-center gap-2">
+                    <Database className="w-3 h-3" />
+                    {model.size}
+                  </div>
+                </div>
+                <Button 
+                  variant="ghost" 
+                  size="icon" 
+                  className="h-8 w-8 text-destructive hover:text-destructive hover:bg-destructive/10"
+                  onClick={() => deleteModel(model.name)}
+                >
+                  <Trash2 className="w-4 h-4" />
+                </Button>
+              </CardContent>
+            </Card>
+          ))}
+          {models.length === 0 && (
+            <div className="text-center text-sm text-muted-foreground py-4">
+              Nenhum modelo encontrado.
+            </div>
+          )}
+        </div>
+      </div>
+    </div>
+  );
+}
+
diff --git a/components/landing/hero.tsx b/components/landing/hero.tsx
new file mode 100644
index 0000000..ea8cc38
--- /dev/null
+++ b/components/landing/hero.tsx
@@ -0,0 +1,26 @@
+import { Button } from "@/components/ui/button";
+import { ArrowRight, Cpu } from "lucide-react";
+
+export function Hero({ onStart }: { onStart: () => void }) {
+  return (
+    <div className="flex flex-col items-center justify-center min-h-[60vh] text-center px-4 space-y-6 animate-in fade-in zoom-in duration-500">
+      <div className="p-4 rounded-full bg-primary/10 animate-pulse">
+        <Cpu className="w-12 h-12 text-primary" />
+      </div>
+      <h1 className="text-4xl md:text-6xl font-bold tracking-tighter bg-clip-text text-transparent bg-gradient-to-r from-primary to-primary/60">
+        OllaHub
+      </h1>
+      <p className="text-lg md:text-xl text-muted-foreground max-w-[600px]">
+        Sua interface moderna e poderosa para interagir com Ollama e Modelos de Linguagem Locais.
+      </p>
+      
+      <div className="flex gap-4 pt-4">
+        <Button size="lg" onClick={onStart} className="group text-lg px-8 h-12">
+          Iniciar Chat
+          <ArrowRight className="ml-2 w-5 h-5 transition-transform group-hover:translate-x-1" />
+        </Button>
+      </div>
+    </div>
+  );
+}
+
diff --git a/components/landing/stopped-card.tsx b/components/landing/stopped-card.tsx
new file mode 100644
index 0000000..9ffc955
--- /dev/null
+++ b/components/landing/stopped-card.tsx
@@ -0,0 +1,85 @@
+import { Card, CardContent, CardDescription, CardHeader, CardTitle } from "@/components/ui/card"
+import { Button } from "@/components/ui/button"
+import { RefreshCw, Copy, Check, Play, Loader2 } from "lucide-react"
+import { useState } from "react"
+import { invoke } from "@tauri-apps/api/core"
+
+export function StoppedCard({ onCheckAgain }: { onCheckAgain: () => void }) {
+  const [copied, setCopied] = useState(false);
+  const [starting, setStarting] = useState(false);
+  const command = "ollama serve";
+
+  const handleCopy = () => {
+    navigator.clipboard.writeText(command);
+    setCopied(true);
+    setTimeout(() => setCopied(false), 2000);
+  };
+
+  const handleStart = async () => {
+    setStarting(true);
+    try {
+      await invoke('start_ollama_server');
+      // Wait a bit for the server to start before checking again
+      setTimeout(() => {
+        onCheckAgain();
+        setStarting(false);
+      }, 3000);
+    } catch (error) {
+      console.error("Failed to start ollama:", error);
+      setStarting(false);
+    }
+  };
+
+  return (
+    <Card className="w-full max-w-md mx-auto border-yellow-500/50 bg-yellow-50/10 dark:bg-yellow-900/10">
+      <CardHeader>
+        <CardTitle className="text-yellow-600 dark:text-yellow-500">Ollama está parado</CardTitle>
+        <CardDescription>
+          O Ollama está instalado mas não está rodando. Você pode iniciá-lo automaticamente ou executar o comando manualmente.
+        </CardDescription>
+      </CardHeader>
+      <CardContent className="space-y-4">
+        <Button 
+          onClick={handleStart} 
+          className="w-full bg-yellow-600 hover:bg-yellow-700 text-white" 
+          disabled={starting}
+        >
+          {starting ? (
+            <>
+              <Loader2 className="mr-2 h-4 w-4 animate-spin" />
+              Iniciando...
+            </>
+          ) : (
+            <>
+              <Play className="mr-2 h-4 w-4" />
+              Iniciar Ollama Automaticamente
+            </>
+          )}
+        </Button>
+
+        <div className="relative">
+          <div className="absolute inset-0 flex items-center">
+            <span className="w-full border-t border-yellow-500/20" />
+          </div>
+          <div className="relative flex justify-center text-xs uppercase">
+            <span className="bg-background px-2 text-muted-foreground">Ou manualmente</span>
+          </div>
+        </div>
+
+        <div className="flex items-center space-x-2">
+          <div className="bg-muted p-3 rounded-md font-mono text-sm flex-1 border">
+            {command}
+          </div>
+          <Button size="icon" variant="outline" onClick={handleCopy}>
+            {copied ? <Check className="h-4 w-4" /> : <Copy className="h-4 w-4" />}
+          </Button>
+        </div>
+        
+        <Button onClick={onCheckAgain} className="w-full" variant="secondary">
+          <RefreshCw className="mr-2 h-4 w-4" />
+          Verificar Novamente
+        </Button>
+      </CardContent>
+    </Card>
+  )
+}
diff --git a/components/modals/install-modal.tsx b/components/modals/install-modal.tsx
new file mode 100644
index 0000000..73324a8
--- /dev/null
+++ b/components/modals/install-modal.tsx
@@ -0,0 +1,86 @@
+import {
+  Dialog,
+  DialogContent,
+  DialogDescription,
+  DialogHeader,
+  DialogTitle,
+} from "@/components/ui/dialog"
+import { Tabs, TabsContent, TabsList, TabsTrigger } from "@/components/ui/tabs"
+import { Button } from "@/components/ui/button"
+import { Download } from "lucide-react"
+
+interface InstallModalProps {
+  open: boolean;
+  onCheckAgain: () => void;
+}
+
+export function InstallModal({ open, onCheckAgain }: InstallModalProps) {
+  return (
+    <Dialog open={open}>
+      <DialogContent className="sm:max-w-[600px]">
+        <DialogHeader>
+          <DialogTitle>Ollama não encontrado</DialogTitle>
+          <DialogDescription>
+            Para usar o OllaHub, você precisa ter o Ollama instalado no seu sistema.
+            Siga os passos abaixo para o seu sistema operacional.
+          </DialogDescription>
+        </DialogHeader>
+        <Tabs defaultValue="mac" className="w-full">
+          <TabsList className="grid w-full grid-cols-3">
+            <TabsTrigger value="mac">macOS</TabsTrigger>
+            <TabsTrigger value="linux">Linux</TabsTrigger>
+            <TabsTrigger value="windows">Windows</TabsTrigger>
+          </TabsList>
+          <TabsContent value="mac" className="space-y-4 py-4">
+            <div className="space-y-2">
+              <h3 className="font-medium">1. Download e Instalação</h3>
+              <Button variant="outline" className="w-full" asChild>
+                <a href="https://ollama.com/download/Ollama-darwin.zip" target="_blank" rel="noopener noreferrer">
+                  <Download className="mr-2 h-4 w-4" />
+                  Baixar para macOS
+                </a>
+              </Button>
+            </div>
+            <div className="text-sm text-muted-foreground">
+              Após instalar, abra o terminal e digite <code>ollama serve</code> se necessário.
+            </div>
+          </TabsContent>
+          <TabsContent value="linux" className="space-y-4 py-4">
+            <div className="space-y-2">
+              <h3 className="font-medium">Instalação via Terminal</h3>
+              <div className="bg-muted p-4 rounded-md relative group">
+                <code className="text-sm break-all">curl -fsSL https://ollama.com/install.sh | sh</code>
+              </div>
+            </div>
+             <div className="space-y-2">
+              <h3 className="font-medium">Comando Manual</h3>
+               <div className="text-sm text-muted-foreground">
+                Ou consulte <a href="https://ollama.com/download/linux" className="underline text-primary" target="_blank" rel="noopener noreferrer">ollama.com/download/linux</a> para instruções manuais.
+               </div>
+            </div>
+          </TabsContent>
+          <TabsContent value="windows" className="space-y-4 py-4">
+            <div className="space-y-2">
+              <h3 className="font-medium">1. Download do Instalador</h3>
+              <Button variant="outline" className="w-full" asChild>
+                <a href="https://ollama.com/download/OllamaSetup.exe" target="_blank" rel="noopener noreferrer">
+                  <Download className="mr-2 h-4 w-4" />
+                  Baixar para Windows
+                </a>
+              </Button>
+            </div>
+            <div className="text-sm text-muted-foreground">
+              Execute o instalador baixado e siga as instruções na tela.
+            </div>
+          </TabsContent>
+        </Tabs>
+        <div className="flex justify-end gap-2 mt-4">
+            <Button onClick={onCheckAgain}>
+                Verificar Novamente
+            </Button>
+        </div>
+      </DialogContent>
+    </Dialog>
+  )
+}
+
diff --git a/components/setup/hardware-scan.tsx b/components/setup/hardware-scan.tsx
new file mode 100644
index 0000000..dde9278
--- /dev/null
+++ b/components/setup/hardware-scan.tsx
@@ -0,0 +1,72 @@
+import { Card, CardContent, CardHeader, CardTitle } from "@/components/ui/card";
+import { Progress } from "@/components/ui/progress";
+import { Cpu, HardDrive, Laptop } from "lucide-react";
+import { SystemSpecs } from "@/lib/recommendation";
+import { useEffect, useState } from "react";
+
+interface HardwareScanProps {
+  specs: SystemSpecs | null;
+  loading: boolean;
+}
+
+export function HardwareScan({ specs, loading }: HardwareScanProps) {
+  const [progress, setProgress] = useState(0);
+
+  useEffect(() => {
+    if (loading) {
+      const interval = setInterval(() => {
+        setProgress((prev) => (prev >= 90 ? 90 : prev + 10));
+      }, 150);
+      return () => clearInterval(interval);
+    } else {
+      setProgress(100);
+    }
+  }, [loading]);
+
+  if (loading) {
+    return (
+      <Card className="w-full max-w-md mx-auto border-primary/20">
+        <CardHeader>
+          <CardTitle className="flex items-center gap-2">
+            <Cpu className="animate-pulse text-primary" />
+            Analisando Hardware...
+          </CardTitle>
+        </CardHeader>
+        <CardContent className="space-y-4">
+          <Progress value={progress} className="h-2" />
+          <p className="text-sm text-muted-foreground text-center">
+            Verificando memória e processador para recomendação ideal.
+          </p>
+        </CardContent>
+      </Card>
+    );
+  }
+
+  if (!specs) return null;
+
+  const ramGB = (specs.total_memory / (1024 * 1024 * 1024)).toFixed(1);
+
+  return (
+    <Card className="w-full max-w-md mx-auto bg-muted/30 animate-in fade-in slide-in-from-bottom-4">
+      <CardHeader>
+        <CardTitle className="flex items-center gap-2 text-lg">
+          <Laptop className="text-primary" />
+          Sistema Detectado
+        </CardTitle>
+      </CardHeader>
+      <CardContent className="grid grid-cols-2 gap-4">
+        <div className="flex flex-col items-center p-3 bg-background rounded-lg border">
+          <HardDrive className="w-6 h-6 mb-2 text-muted-foreground" />
+          <span className="text-xl font-bold">{ramGB} GB</span>
+          <span className="text-xs text-muted-foreground">RAM Total</span>
+        </div>
+        <div className="flex flex-col items-center p-3 bg-background rounded-lg border">
+          <Cpu className="w-6 h-6 mb-2 text-muted-foreground" />
+          <span className="text-xl font-bold">{specs.cpu_count}</span>
+          <span className="text-xs text-muted-foreground">Núcleos CPU</span>
+        </div>
+      </CardContent>
+    </Card>
+  );
+}
+
diff --git a/components/setup/model-selector.tsx b/components/setup/model-selector.tsx
new file mode 100644
index 0000000..507ea2f
--- /dev/null
+++ b/components/setup/model-selector.tsx
@@ -0,0 +1,163 @@
+import { Card, CardContent, CardDescription, CardFooter, CardHeader, CardTitle } from "@/components/ui/card";
+import { Button } from "@/components/ui/button";
+import { Select, SelectContent, SelectItem, SelectTrigger, SelectValue } from "@/components/ui/select";
+import { Progress } from "@/components/ui/progress";
+import { Badge } from "@/components/ui/badge";
+import { Check, Download, Loader2, Play } from "lucide-react";
+import { RECOMMENDED_MODELS, ModelRecommendation } from "@/lib/recommendation";
+import { useState, useEffect } from "react";
+import { invoke } from "@tauri-apps/api/core";
+import { listen } from "@tauri-apps/api/event";
+
+interface ModelSelectorProps {
+  recommendation: ModelRecommendation;
+  onComplete: () => void;
+}
+
+export function ModelSelector({ recommendation, onComplete }: ModelSelectorProps) {
+  const [selectedModelId, setSelectedModelId] = useState(recommendation.modelId);
+  const [isInstalled, setIsInstalled] = useState(false);
+  const [isDownloading, setIsDownloading] = useState(false);
+  const [downloadProgress, setDownloadProgress] = useState(0);
+  const [downloadStatus, setDownloadStatus] = useState("");
+
+  const selectedModel = RECOMMENDED_MODELS.find(m => m.id === selectedModelId) || RECOMMENDED_MODELS[0];
+
+  useEffect(() => {
+    checkInstallation(selectedModelId);
+  }, [selectedModelId]);
+
+  useEffect(() => {
+    const unlisten = listen<string>('download-progress', (event) => {
+      const line = event.payload;
+      setDownloadStatus(line);
+      
+      // Simple heuristic parsing for progress
+      // Ollama output example: "pulling manifest", "downloading 10%", "verifying sha256 digest"
+      if (line.includes('%')) {
+        const match = line.match(/(\d+)%/);
+        if (match) {
+          setDownloadProgress(parseInt(match[1], 10));
+        }
+      } else if (line.includes('success')) {
+        setDownloadProgress(100);
+      }
+    });
+
+    return () => {
+      unlisten.then(f => f());
+    };
+  }, []);
+
+  const checkInstallation = async (modelId: string) => {
+    try {
+      const installed = await invoke<boolean>('check_if_model_installed', { name: modelId });
+      setIsInstalled(installed);
+    } catch (e) {
+      console.error("Check failed", e);
+    }
+  };
+
+  const handleDownload = async () => {
+    setIsDownloading(true);
+    setDownloadProgress(0);
+    try {
+      await invoke('pull_model', { name: selectedModelId });
+      setIsInstalled(true);
+      setIsDownloading(false);
+    } catch (error) {
+      console.error("Download failed", error);
+      setDownloadStatus("Falha no download. Tente novamente.");
+      setIsDownloading(false);
+    }
+  };
+
+  return (
+    <Card className="w-full max-w-md mx-auto mt-6 border-primary shadow-lg">
+      <CardHeader>
+        <div className="flex justify-between items-start">
+          <div>
+            <CardTitle>Escolha seu Modelo</CardTitle>
+            <CardDescription>
+              {selectedModelId === recommendation.modelId 
+                ? "Baseado no seu hardware, recomendamos:" 
+                : "Você selecionou um modelo personalizado:"}
+            </CardDescription>
+          </div>
+          {selectedModelId === recommendation.modelId && (
+            <Badge variant="secondary" className="bg-green-100 text-green-800 hover:bg-green-100 dark:bg-green-900 dark:text-green-100">
+              Recomendado
+            </Badge>
+          )}
+        </div>
+      </CardHeader>
+      <CardContent className="space-y-4">
+        <Select 
+          value={selectedModelId} 
+          onValueChange={setSelectedModelId}
+          disabled={isDownloading}
+        >
+          <SelectTrigger className="w-full h-14 text-lg">
+            <SelectValue placeholder="Selecione um modelo" />
+          </SelectTrigger>
+          <SelectContent>
+            {RECOMMENDED_MODELS.map((model) => (
+              <SelectItem key={model.id} value={model.id}>
+                <div className="flex flex-col items-start">
+                  <span className="font-medium">{model.name}</span>
+                  <span className="text-xs text-muted-foreground">{model.size} • Min RAM: {model.minRam}GB</span>
+                </div>
+              </SelectItem>
+            ))}
+          </SelectContent>
+        </Select>
+
+        <div className="bg-muted/50 p-4 rounded-md text-sm">
+          <p className="font-medium mb-1">Sobre este modelo:</p>
+          <p className="text-muted-foreground">
+            {selectedModelId === recommendation.modelId 
+              ? recommendation.reason 
+              : "Modelo alternativo selecionado. Certifique-se de ter memória suficiente."}
+          </p>
+        </div>
+
+        {isDownloading && (
+          <div className="space-y-2">
+            <div className="flex justify-between text-xs text-muted-foreground">
+              <span>{downloadStatus || "Iniciando..."}</span>
+              <span>{downloadProgress}%</span>
+            </div>
+            <Progress value={downloadProgress} className="h-2" />
+          </div>
+        )}
+      </CardContent>
+      <CardFooter>
+        {isInstalled ? (
+          <Button className="w-full h-12 text-lg" onClick={onComplete}>
+            Ir para o Chat
+            <Play className="ml-2 w-5 h-5" />
+          </Button>
+        ) : (
+          <Button 
+            className="w-full h-12 text-lg" 
+            onClick={handleDownload}
+            disabled={isDownloading}
+          >
+            {isDownloading ? (
+              <>
+                <Loader2 className="mr-2 h-5 w-5 animate-spin" />
+                Baixando...
+              </>
+            ) : (
+              <>
+                <Download className="mr-2 h-5 w-5" />
+                Baixar e Instalar ({selectedModel.size})
+              </>
+            )}
+          </Button>
+        )}
+      </CardFooter>
+    </Card>
+  );
+}
+
diff --git a/components/theme-provider.tsx b/components/theme-provider.tsx
new file mode 100644
index 0000000..02414a7
--- /dev/null
+++ b/components/theme-provider.tsx
@@ -0,0 +1,12 @@
+"use client"
+
+import * as React from "react"
+import { ThemeProvider as NextThemesProvider } from "next-themes"
+
+export function ThemeProvider({
+  children,
+  ...props
+}: React.ComponentProps<typeof NextThemesProvider>) {
+  return <NextThemesProvider {...props}>{children}</NextThemesProvider>
+}
+
diff --git a/components/ui/badge.tsx b/components/ui/badge.tsx
new file mode 100644
index 0000000..fd3a406
--- /dev/null
+++ b/components/ui/badge.tsx
@@ -0,0 +1,46 @@
+import * as React from "react"
+import { Slot } from "@radix-ui/react-slot"
+import { cva, type VariantProps } from "class-variance-authority"
+
+import { cn } from "@/lib/utils"
+
+const badgeVariants = cva(
+  "inline-flex items-center justify-center rounded-full border px-2 py-0.5 text-xs font-medium w-fit whitespace-nowrap shrink-0 [&>svg]:size-3 gap-1 [&>svg]:pointer-events-none focus-visible:border-ring focus-visible:ring-ring/50 focus-visible:ring-[3px] aria-invalid:ring-destructive/20 dark:aria-invalid:ring-destructive/40 aria-invalid:border-destructive transition-[color,box-shadow] overflow-hidden",
+  {
+    variants: {
+      variant: {
+        default:
+          "border-transparent bg-primary text-primary-foreground [a&]:hover:bg-primary/90",
+        secondary:
+          "border-transparent bg-secondary text-secondary-foreground [a&]:hover:bg-secondary/90",
+        destructive:
+          "border-transparent bg-destructive text-white [a&]:hover:bg-destructive/90 focus-visible:ring-destructive/20 dark:focus-visible:ring-destructive/40 dark:bg-destructive/60",
+        outline:
+          "text-foreground [a&]:hover:bg-accent [a&]:hover:text-accent-foreground",
+      },
+    },
+    defaultVariants: {
+      variant: "default",
+    },
+  }
+)
+
+function Badge({
+  className,
+  variant,
+  asChild = false,
+  ...props
+}: React.ComponentProps<"span"> &
+  VariantProps<typeof badgeVariants> & { asChild?: boolean }) {
+  const Comp = asChild ? Slot : "span"
+
+  return (
+    <Comp
+      data-slot="badge"
+      className={cn(badgeVariants({ variant }), className)}
+      {...props}
+    />
+  )
+}
+
+export { Badge, badgeVariants }
diff --git a/components/ui/button.tsx b/components/ui/button.tsx
new file mode 100644
index 0000000..21409a0
--- /dev/null
+++ b/components/ui/button.tsx
@@ -0,0 +1,60 @@
+import * as React from "react"
+import { Slot } from "@radix-ui/react-slot"
+import { cva, type VariantProps } from "class-variance-authority"
+
+import { cn } from "@/lib/utils"
+
+const buttonVariants = cva(
+  "inline-flex items-center justify-center gap-2 whitespace-nowrap rounded-md text-sm font-medium transition-all disabled:pointer-events-none disabled:opacity-50 [&_svg]:pointer-events-none [&_svg:not([class*='size-'])]:size-4 shrink-0 [&_svg]:shrink-0 outline-none focus-visible:border-ring focus-visible:ring-ring/50 focus-visible:ring-[3px] aria-invalid:ring-destructive/20 dark:aria-invalid:ring-destructive/40 aria-invalid:border-destructive",
+  {
+    variants: {
+      variant: {
+        default: "bg-primary text-primary-foreground hover:bg-primary/90",
+        destructive:
+          "bg-destructive text-white hover:bg-destructive/90 focus-visible:ring-destructive/20 dark:focus-visible:ring-destructive/40 dark:bg-destructive/60",
+        outline:
+          "border bg-background shadow-xs hover:bg-accent hover:text-accent-foreground dark:bg-input/30 dark:border-input dark:hover:bg-input/50",
+        secondary:
+          "bg-secondary text-secondary-foreground hover:bg-secondary/80",
+        ghost:
+          "hover:bg-accent hover:text-accent-foreground dark:hover:bg-accent/50",
+        link: "text-primary underline-offset-4 hover:underline",
+      },
+      size: {
+        default: "h-9 px-4 py-2 has-[>svg]:px-3",
+        sm: "h-8 rounded-md gap-1.5 px-3 has-[>svg]:px-2.5",
+        lg: "h-10 rounded-md px-6 has-[>svg]:px-4",
+        icon: "size-9",
+        "icon-sm": "size-8",
+        "icon-lg": "size-10",
+      },
+    },
+    defaultVariants: {
+      variant: "default",
+      size: "default",
+    },
+  }
+)
+
+function Button({
+  className,
+  variant,
+  size,
+  asChild = false,
+  ...props
+}: React.ComponentProps<"button"> &
+  VariantProps<typeof buttonVariants> & {
+    asChild?: boolean
+  }) {
+  const Comp = asChild ? Slot : "button"
+
+  return (
+    <Comp
+      data-slot="button"
+      className={cn(buttonVariants({ variant, size, className }))}
+      {...props}
+    />
+  )
+}
+
+export { Button, buttonVariants }
diff --git a/components/ui/card.tsx b/components/ui/card.tsx
new file mode 100644
index 0000000..681ad98
--- /dev/null
+++ b/components/ui/card.tsx
@@ -0,0 +1,92 @@
+import * as React from "react"
+
+import { cn } from "@/lib/utils"
+
+function Card({ className, ...props }: React.ComponentProps<"div">) {
+  return (
+    <div
+      data-slot="card"
+      className={cn(
+        "bg-card text-card-foreground flex flex-col gap-6 rounded-xl border py-6 shadow-sm",
+        className
+      )}
+      {...props}
+    />
+  )
+}
+
+function CardHeader({ className, ...props }: React.ComponentProps<"div">) {
+  return (
+    <div
+      data-slot="card-header"
+      className={cn(
+        "@container/card-header grid auto-rows-min grid-rows-[auto_auto] items-start gap-2 px-6 has-data-[slot=card-action]:grid-cols-[1fr_auto] [.border-b]:pb-6",
+        className
+      )}
+      {...props}
+    />
+  )
+}
+
+function CardTitle({ className, ...props }: React.ComponentProps<"div">) {
+  return (
+    <div
+      data-slot="card-title"
+      className={cn("leading-none font-semibold", className)}
+      {...props}
+    />
+  )
+}
+
+function CardDescription({ className, ...props }: React.ComponentProps<"div">) {
+  return (
+    <div
+      data-slot="card-description"
+      className={cn("text-muted-foreground text-sm", className)}
+      {...props}
+    />
+  )
+}
+
+function CardAction({ className, ...props }: React.ComponentProps<"div">) {
+  return (
+    <div
+      data-slot="card-action"
+      className={cn(
+        "col-start-2 row-span-2 row-start-1 self-start justify-self-end",
+        className
+      )}
+      {...props}
+    />
+  )
+}
+
+function CardContent({ className, ...props }: React.ComponentProps<"div">) {
+  return (
+    <div
+      data-slot="card-content"
+      className={cn("px-6", className)}
+      {...props}
+    />
+  )
+}
+
+function CardFooter({ className, ...props }: React.ComponentProps<"div">) {
+  return (
+    <div
+      data-slot="card-footer"
+      className={cn("flex items-center px-6 [.border-t]:pt-6", className)}
+      {...props}
+    />
+  )
+}
+
+export {
+  Card,
+  CardHeader,
+  CardFooter,
+  CardTitle,
+  CardAction,
+  CardDescription,
+  CardContent,
+}
diff --git a/components/ui/dialog.tsx b/components/ui/dialog.tsx
new file mode 100644
index 0000000..d9ccec9
--- /dev/null
+++ b/components/ui/dialog.tsx
@@ -0,0 +1,143 @@
+"use client"
+
+import * as React from "react"
+import * as DialogPrimitive from "@radix-ui/react-dialog"
+import { XIcon } from "lucide-react"
+
+import { cn } from "@/lib/utils"
+
+function Dialog({
+  ...props
+}: React.ComponentProps<typeof DialogPrimitive.Root>) {
+  return <DialogPrimitive.Root data-slot="dialog" {...props} />
+}
+
+function DialogTrigger({
+  ...props
+}: React.ComponentProps<typeof DialogPrimitive.Trigger>) {
+  return <DialogPrimitive.Trigger data-slot="dialog-trigger" {...props} />
+}
+
+function DialogPortal({
+  ...props
+}: React.ComponentProps<typeof DialogPrimitive.Portal>) {
+  return <DialogPrimitive.Portal data-slot="dialog-portal" {...props} />
+}
+
+function DialogClose({
+  ...props
+}: React.ComponentProps<typeof DialogPrimitive.Close>) {
+  return <DialogPrimitive.Close data-slot="dialog-close" {...props} />
+}
+
+function DialogOverlay({
+  className,
+  ...props
+}: React.ComponentProps<typeof DialogPrimitive.Overlay>) {
+  return (
+    <DialogPrimitive.Overlay
+      data-slot="dialog-overlay"
+      className={cn(
+        "data-[state=open]:animate-in data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:fade-in-0 fixed inset-0 z-50 bg-black/50",
+        className
+      )}
+      {...props}
+    />
+  )
+}
+
+function DialogContent({
+  className,
+  children,
+  showCloseButton = true,
+  ...props
+}: React.ComponentProps<typeof DialogPrimitive.Content> & {
+  showCloseButton?: boolean
+}) {
+  return (
+    <DialogPortal data-slot="dialog-portal">
+      <DialogOverlay />
+      <DialogPrimitive.Content
+        data-slot="dialog-content"
+        className={cn(
+          "bg-background data-[state=open]:animate-in data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:fade-in-0 data-[state=closed]:zoom-out-95 data-[state=open]:zoom-in-95 fixed top-[50%] left-[50%] z-50 grid w-full max-w-[calc(100%-2rem)] translate-x-[-50%] translate-y-[-50%] gap-4 rounded-lg border p-6 shadow-lg duration-200 sm:max-w-lg",
+          className
+        )}
+        {...props}
+      >
+        {children}
+        {showCloseButton && (
+          <DialogPrimitive.Close
+            data-slot="dialog-close"
+            className="ring-offset-background focus:ring-ring data-[state=open]:bg-accent data-[state=open]:text-muted-foreground absolute top-4 right-4 rounded-xs opacity-70 transition-opacity hover:opacity-100 focus:ring-2 focus:ring-offset-2 focus:outline-hidden disabled:pointer-events-none [&_svg]:pointer-events-none [&_svg]:shrink-0 [&_svg:not([class*='size-'])]:size-4"
+          >
+            <XIcon />
+            <span className="sr-only">Close</span>
+          </DialogPrimitive.Close>
+        )}
+      </DialogPrimitive.Content>
+    </DialogPortal>
+  )
+}
+
+function DialogHeader({ className, ...props }: React.ComponentProps<"div">) {
+  return (
+    <div
+      data-slot="dialog-header"
+      className={cn("flex flex-col gap-2 text-center sm:text-left", className)}
+      {...props}
+    />
+  )
+}
+
+function DialogFooter({ className, ...props }: React.ComponentProps<"div">) {
+  return (
+    <div
+      data-slot="dialog-footer"
+      className={cn(
+        "flex flex-col-reverse gap-2 sm:flex-row sm:justify-end",
+        className
+      )}
+      {...props}
+    />
+  )
+}
+
+function DialogTitle({
+  className,
+  ...props
+}: React.ComponentProps<typeof DialogPrimitive.Title>) {
+  return (
+    <DialogPrimitive.Title
+      data-slot="dialog-title"
+      className={cn("text-lg leading-none font-semibold", className)}
+      {...props}
+    />
+  )
+}
+
+function DialogDescription({
+  className,
+  ...props
+}: React.ComponentProps<typeof DialogPrimitive.Description>) {
+  return (
+    <DialogPrimitive.Description
+      data-slot="dialog-description"
+      className={cn("text-muted-foreground text-sm", className)}
+      {...props}
+    />
+  )
+}
+
+export {
+  Dialog,
+  DialogClose,
+  DialogContent,
+  DialogDescription,
+  DialogFooter,
+  DialogHeader,
+  DialogOverlay,
+  DialogPortal,
+  DialogTitle,
+  DialogTrigger,
+}
diff --git a/components/ui/progress.tsx b/components/ui/progress.tsx
new file mode 100644
index 0000000..0feba3f
--- /dev/null
+++ b/components/ui/progress.tsx
@@ -0,0 +1,27 @@
+import * as React from "react"
+import * as ProgressPrimitive from "@radix-ui/react-progress"
+
+import { cn } from "@/lib/utils"
+
+const Progress = React.forwardRef<
+  React.ElementRef<typeof ProgressPrimitive.Root>,
+  React.ComponentPropsWithoutRef<typeof ProgressPrimitive.Root>
+>(({ className, value, ...props }, ref) => (
+  <ProgressPrimitive.Root
+    ref={ref}
+    className={cn(
+      "relative h-4 w-full overflow-hidden rounded-full bg-secondary",
+      className
+    )}
+    {...props}
+  >
+    <ProgressPrimitive.Indicator
+      className="h-full w-full flex-1 bg-primary transition-all"
+      style={{ transform: `translateX(-${100 - (value || 0)}%)` }}
+    />
+  </ProgressPrimitive.Root>
+))
+Progress.displayName = ProgressPrimitive.Root.displayName
+
+export { Progress }
+
diff --git a/components/ui/resizable.tsx b/components/ui/resizable.tsx
new file mode 100644
index 0000000..da5bffb
--- /dev/null
+++ b/components/ui/resizable.tsx
@@ -0,0 +1,44 @@
+import * as React from "react"
+import { GripVertical } from "lucide-react"
+import * as ResizablePrimitive from "react-resizable-panels"
+
+import { cn } from "@/lib/utils"
+
+const ResizablePanelGroup = ({
+  className,
+  ...props
+}: React.ComponentProps<typeof ResizablePrimitive.PanelGroup>) => (
+  <ResizablePrimitive.PanelGroup
+    className={cn(
+      "flex h-full w-full data-[panel-group-direction=vertical]:flex-col",
+      className
+    )}
+    {...props}
+  />
+)
+
+const ResizablePanel = ResizablePrimitive.Panel
+
+const ResizableHandle = ({
+  withHandle,
+  className,
+  ...props
+}: React.ComponentProps<typeof ResizablePrimitive.PanelResizeHandle> & {
+  withHandle?: boolean
+}) => (
+  <ResizablePrimitive.PanelResizeHandle
+    className={cn(
+      "relative flex w-px items-center justify-center bg-border after:absolute after:inset-y-0 after:left-1/2 after:w-1 after:-translate-x-1/2 focus-visible:outline-none focus-visible:ring-1 focus-visible:ring-ring focus-visible:ring-offset-1 data-[panel-group-direction=vertical]:h-px data-[panel-group-direction=vertical]:w-full data-[panel-group-direction=vertical]:after:left-0 data-[panel-group-direction=vertical]:after:h-1 data-[panel-group-direction=vertical]:after:w-full data-[panel-group-direction=vertical]:after:-translate-y-1/2 data-[panel-group-direction=vertical]:after:translate-x-0 [&[data-panel-group-direction=vertical]>div]:rotate-90",
+      className
+    )}
+    {...props}
+  >
+    {withHandle && (
+      <div className="z-10 flex h-4 w-3 items-center justify-center rounded-sm border bg-border">
+        <GripVertical className="h-2.5 w-2.5" />
+      </div>
+    )}
+  </ResizablePrimitive.PanelResizeHandle>
+)
+
+export { ResizablePanelGroup, ResizablePanel, ResizableHandle }
diff --git a/components/ui/select.tsx b/components/ui/select.tsx
new file mode 100644
index 0000000..07724c5
--- /dev/null
+++ b/components/ui/select.tsx
@@ -0,0 +1,159 @@
+import * as React from "react"
+import * as SelectPrimitive from "@radix-ui/react-select"
+import { Check, ChevronDown, ChevronUp } from "lucide-react"
+
+import { cn } from "@/lib/utils"
+
+const Select = SelectPrimitive.Root
+
+const SelectGroup = SelectPrimitive.Group
+
+const SelectValue = SelectPrimitive.Value
+
+const SelectTrigger = React.forwardRef<
+  React.ElementRef<typeof SelectPrimitive.Trigger>,
+  React.ComponentPropsWithoutRef<typeof SelectPrimitive.Trigger>
+>(({ className, children, ...props }, ref) => (
+  <SelectPrimitive.Trigger
+    ref={ref}
+    className={cn(
+      "flex h-10 w-full items-center justify-between rounded-md border border-input bg-background px-3 py-2 text-sm ring-offset-background placeholder:text-muted-foreground focus:outline-none focus:ring-2 focus:ring-ring focus:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-50 [&>span]:line-clamp-1",
+      className
+    )}
+    {...props}
+  >
+    {children}
+    <SelectPrimitive.Icon asChild>
+      <ChevronDown className="h-4 w-4 opacity-50" />
+    </SelectPrimitive.Icon>
+  </SelectPrimitive.Trigger>
+))
+SelectTrigger.displayName = SelectPrimitive.Trigger.displayName
+
+const SelectScrollUpButton = React.forwardRef<
+  React.ElementRef<typeof SelectPrimitive.ScrollUpButton>,
+  React.ComponentPropsWithoutRef<typeof SelectPrimitive.ScrollUpButton>
+>(({ className, ...props }, ref) => (
+  <SelectPrimitive.ScrollUpButton
+    ref={ref}
+    className={cn(
+      "flex cursor-default items-center justify-center py-1",
+      className
+    )}
+    {...props}
+  >
+    <ChevronUp className="h-4 w-4" />
+  </SelectPrimitive.ScrollUpButton>
+))
+SelectScrollUpButton.displayName = SelectPrimitive.ScrollUpButton.displayName
+
+const SelectScrollDownButton = React.forwardRef<
+  React.ElementRef<typeof SelectPrimitive.ScrollDownButton>,
+  React.ComponentPropsWithoutRef<typeof SelectPrimitive.ScrollDownButton>
+>(({ className, ...props }, ref) => (
+  <SelectPrimitive.ScrollDownButton
+    ref={ref}
+    className={cn(
+      "flex cursor-default items-center justify-center py-1",
+      className
+    )}
+    {...props}
+  >
+    <ChevronDown className="h-4 w-4" />
+  </SelectPrimitive.ScrollDownButton>
+))
+SelectScrollDownButton.displayName =
+  SelectPrimitive.ScrollDownButton.displayName
+
+const SelectContent = React.forwardRef<
+  React.ElementRef<typeof SelectPrimitive.Content>,
+  React.ComponentPropsWithoutRef<typeof SelectPrimitive.Content>
+>(({ className, children, position = "popper", ...props }, ref) => (
+  <SelectPrimitive.Portal>
+    <SelectPrimitive.Content
+      ref={ref}
+      className={cn(
+        "relative z-50 max-h-96 min-w-[8rem] overflow-hidden rounded-md border bg-popover text-popover-foreground shadow-md data-[state=open]:animate-in data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:fade-in-0 data-[state=closed]:zoom-out-95 data-[state=open]:zoom-in-95 data-[side=bottom]:slide-in-from-top-2 data-[side=left]:slide-in-from-right-2 data-[side=right]:slide-in-from-left-2 data-[side=top]:slide-in-from-bottom-2",
+        position === "popper" &&
+          "data-[side=bottom]:translate-y-1 data-[side=left]:-translate-x-1 data-[side=right]:translate-x-1 data-[side=top]:-translate-y-1",
+        className
+      )}
+      position={position}
+      {...props}
+    >
+      <SelectScrollUpButton />
+      <SelectPrimitive.Viewport
+        className={cn(
+          "p-1",
+          position === "popper" &&
+            "h-[var(--radix-select-trigger-height)] w-full min-w-[var(--radix-select-trigger-width)]"
+        )}
+      >
+        {children}
+      </SelectPrimitive.Viewport>
+      <SelectScrollDownButton />
+    </SelectPrimitive.Content>
+  </SelectPrimitive.Portal>
+))
+SelectContent.displayName = SelectPrimitive.Content.displayName
+
+const SelectLabel = React.forwardRef<
+  React.ElementRef<typeof SelectPrimitive.Label>,
+  React.ComponentPropsWithoutRef<typeof SelectPrimitive.Label>
+>(({ className, ...props }, ref) => (
+  <SelectPrimitive.Label
+    ref={ref}
+    className={cn("py-1.5 pl-8 pr-2 text-sm font-semibold", className)}
+    {...props}
+  />
+))
+SelectLabel.displayName = SelectPrimitive.Label.displayName
+
+const SelectItem = React.forwardRef<
+  React.ElementRef<typeof SelectPrimitive.Item>,
+  React.ComponentPropsWithoutRef<typeof SelectPrimitive.Item>
+>(({ className, children, ...props }, ref) => (
+  <SelectPrimitive.Item
+    ref={ref}
+    className={cn(
+      "relative flex w-full cursor-default select-none items-center rounded-sm py-1.5 pl-8 pr-2 text-sm outline-none focus:bg-accent focus:text-accent-foreground data-[disabled]:pointer-events-none data-[disabled]:opacity-50",
+      className
+    )}
+    {...props}
+  >
+    <span className="absolute left-2 flex h-3.5 w-3.5 items-center justify-center">
+      <SelectPrimitive.ItemIndicator>
+        <Check className="h-4 w-4" />
+      </SelectPrimitive.ItemIndicator>
+    </span>
+
+    <SelectPrimitive.ItemText>{children}</SelectPrimitive.ItemText>
+  </SelectPrimitive.Item>
+))
+SelectItem.displayName = SelectPrimitive.Item.displayName
+
+const SelectSeparator = React.forwardRef<
+  React.ElementRef<typeof SelectPrimitive.Separator>,
+  React.ComponentPropsWithoutRef<typeof SelectPrimitive.Separator>
+>(({ className, ...props }, ref) => (
+  <SelectPrimitive.Separator
+    ref={ref}
+    className={cn("-mx-1 my-1 h-px bg-muted", className)}
+    {...props}
+  />
+))
+SelectSeparator.displayName = SelectPrimitive.Separator.displayName
+
+export {
+  Select,
+  SelectGroup,
+  SelectValue,
+  SelectTrigger,
+  SelectContent,
+  SelectLabel,
+  SelectItem,
+  SelectSeparator,
+  SelectScrollUpButton,
+  SelectScrollDownButton,
+}
+
diff --git a/components/ui/separator.tsx b/components/ui/separator.tsx
new file mode 100644
index 0000000..275381c
--- /dev/null
+++ b/components/ui/separator.tsx
@@ -0,0 +1,28 @@
+"use client"
+
+import * as React from "react"
+import * as SeparatorPrimitive from "@radix-ui/react-separator"
+
+import { cn } from "@/lib/utils"
+
+function Separator({
+  className,
+  orientation = "horizontal",
+  decorative = true,
+  ...props
+}: React.ComponentProps<typeof SeparatorPrimitive.Root>) {
+  return (
+    <SeparatorPrimitive.Root
+      data-slot="separator"
+      decorative={decorative}
+      orientation={orientation}
+      className={cn(
+        "bg-border shrink-0 data-[orientation=horizontal]:h-px data-[orientation=horizontal]:w-full data-[orientation=vertical]:h-full data-[orientation=vertical]:w-px",
+        className
+      )}
+      {...props}
+    />
+  )
+}
+
+export { Separator }
diff --git a/components/ui/tabs.tsx b/components/ui/tabs.tsx
new file mode 100644
index 0000000..497ba5e
--- /dev/null
+++ b/components/ui/tabs.tsx
@@ -0,0 +1,66 @@
+"use client"
+
+import * as React from "react"
+import * as TabsPrimitive from "@radix-ui/react-tabs"
+
+import { cn } from "@/lib/utils"
+
+function Tabs({
+  className,
+  ...props
+}: React.ComponentProps<typeof TabsPrimitive.Root>) {
+  return (
+    <TabsPrimitive.Root
+      data-slot="tabs"
+      className={cn("flex flex-col gap-2", className)}
+      {...props}
+    />
+  )
+}
+
+function TabsList({
+  className,
+  ...props
+}: React.ComponentProps<typeof TabsPrimitive.List>) {
+  return (
+    <TabsPrimitive.List
+      data-slot="tabs-list"
+      className={cn(
+        "bg-muted text-muted-foreground inline-flex h-9 w-fit items-center justify-center rounded-lg p-[3px]",
+        className
+      )}
+      {...props}
+    />
+  )
+}
+
+function TabsTrigger({
+  className,
+  ...props
+}: React.ComponentProps<typeof TabsPrimitive.Trigger>) {
+  return (
+    <TabsPrimitive.Trigger
+      data-slot="tabs-trigger"
+      className={cn(
+        "data-[state=active]:bg-background dark:data-[state=active]:text-foreground focus-visible:border-ring focus-visible:ring-ring/50 focus-visible:outline-ring dark:data-[state=active]:border-input dark:data-[state=active]:bg-input/30 text-foreground dark:text-muted-foreground inline-flex h-[calc(100%-1px)] flex-1 items-center justify-center gap-1.5 rounded-md border border-transparent px-2 py-1 text-sm font-medium whitespace-nowrap transition-[color,box-shadow] focus-visible:ring-[3px] focus-visible:outline-1 disabled:pointer-events-none disabled:opacity-50 data-[state=active]:shadow-sm [&_svg]:pointer-events-none [&_svg]:shrink-0 [&_svg:not([class*='size-'])]:size-4",
+        className
+      )}
+      {...props}
+    />
+  )
+}
+
+function TabsContent({
+  className,
+  ...props
+}: React.ComponentProps<typeof TabsPrimitive.Content>) {
+  return (
+    <TabsPrimitive.Content
+      data-slot="tabs-content"
+      className={cn("flex-1 outline-none", className)}
+      {...props}
+    />
+  )
+}
+
+export { Tabs, TabsList, TabsTrigger, TabsContent }
diff --git a/components/ui/textarea.tsx b/components/ui/textarea.tsx
new file mode 100644
index 0000000..de8c1a2
--- /dev/null
+++ b/components/ui/textarea.tsx
@@ -0,0 +1,23 @@
+import * as React from "react"
+
+import { cn } from "@/lib/utils"
+
+const Textarea = React.forwardRef<
+  HTMLTextAreaElement,
+  React.ComponentProps<"textarea">
+>(({ className, ...props }, ref) => {
+  return (
+    <textarea
+      className={cn(
+        "flex min-h-[60px] w-full rounded-md border border-input bg-transparent px-3 py-2 text-base shadow-sm placeholder:text-muted-foreground focus-visible:outline-none focus-visible:ring-1 focus-visible:ring-ring disabled:cursor-not-allowed disabled:opacity-50 md:text-sm",
+        className
+      )}
+      ref={ref}
+      {...props}
+    />
+  )
+})
+Textarea.displayName = "Textarea"
+
+export { Textarea }
+
diff --git a/data/models/alfred.json b/data/models/alfred.json
new file mode 100644
index 0000000..d9366e7
--- /dev/null
+++ b/data/models/alfred.json
@@ -0,0 +1,20 @@
+{
+  "model": "alfred",
+  "url": "https://ollama.com/library/alfred",
+  "description": "A robust conversational model designed to be used for both chat and instruct use cases.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "alfred:latest",
+      "size": "24GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "alfred:40b",
+      "size": "24GB",
+      "context": "2K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/all-minilm.json b/data/models/all-minilm.json
new file mode 100644
index 0000000..f24b8b7
--- /dev/null
+++ b/data/models/all-minilm.json
@@ -0,0 +1,26 @@
+{
+  "model": "all-minilm",
+  "url": "https://ollama.com/library/all-minilm",
+  "description": "Embedding models on very large sentence level datasets.",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "all-minilm:latest",
+      "size": "46MB",
+      "context": "512",
+      "inputType": "Text"
+    },
+    {
+      "name": "all-minilm:22m",
+      "size": "46MB",
+      "context": "512",
+      "inputType": "Text"
+    },
+    {
+      "name": "all-minilm:33m",
+      "size": "67MB",
+      "context": "512",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/athene-v2.json b/data/models/athene-v2.json
new file mode 100644
index 0000000..84ca4d5
--- /dev/null
+++ b/data/models/athene-v2.json
@@ -0,0 +1,20 @@
+{
+  "model": "athene-v2",
+  "url": "https://ollama.com/library/athene-v2",
+  "description": "Athene-V2 is a 72B parameter model which excels at code completion, mathematics, and log extraction tasks.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "athene-v2:latest",
+      "size": "47GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "athene-v2:72b",
+      "size": "47GB",
+      "context": "32K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/aya-expanse.json b/data/models/aya-expanse.json
new file mode 100644
index 0000000..7915f6c
--- /dev/null
+++ b/data/models/aya-expanse.json
@@ -0,0 +1,26 @@
+{
+  "model": "aya-expanse",
+  "url": "https://ollama.com/library/aya-expanse",
+  "description": "Cohere For AI's language models trained to perform well across 23 different languages.",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "aya-expanse:latest",
+      "size": "5.1GB",
+      "context": "8K",
+      "inputType": "Text"
+    },
+    {
+      "name": "aya-expanse:8b",
+      "size": "5.1GB",
+      "context": "8K",
+      "inputType": "Text"
+    },
+    {
+      "name": "aya-expanse:32b",
+      "size": "20GB",
+      "context": "8K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/aya.json b/data/models/aya.json
new file mode 100644
index 0000000..5b48ee5
--- /dev/null
+++ b/data/models/aya.json
@@ -0,0 +1,26 @@
+{
+  "model": "aya",
+  "url": "https://ollama.com/library/aya",
+  "description": "Aya 23, released by Cohere, is a new family of state-of-the-art, multilingual models that support 23 languages. ",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "aya:latest",
+      "size": "4.8GB",
+      "context": "8K",
+      "inputType": "Text"
+    },
+    {
+      "name": "aya:8b",
+      "size": "4.8GB",
+      "context": "8K",
+      "inputType": "Text"
+    },
+    {
+      "name": "aya:35b",
+      "size": "20GB",
+      "context": "8K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/bakllava.json b/data/models/bakllava.json
new file mode 100644
index 0000000..2ee2a2b
--- /dev/null
+++ b/data/models/bakllava.json
@@ -0,0 +1,20 @@
+{
+  "model": "bakllava",
+  "url": "https://ollama.com/library/bakllava",
+  "description": "BakLLaVA is a multimodal model consisting of the Mistral 7B base model augmented with the LLaVA  architecture.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "bakllava:latest",
+      "size": "4.7GB",
+      "context": "32K",
+      "inputType": "Text, Image"
+    },
+    {
+      "name": "bakllava:7b",
+      "size": "4.7GB",
+      "context": "32K",
+      "inputType": "Text, Image"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/bespoke-minicheck.json b/data/models/bespoke-minicheck.json
new file mode 100644
index 0000000..74cbb73
--- /dev/null
+++ b/data/models/bespoke-minicheck.json
@@ -0,0 +1,20 @@
+{
+  "model": "bespoke-minicheck",
+  "url": "https://ollama.com/library/bespoke-minicheck",
+  "description": "A state-of-the-art fact-checking model developed by Bespoke Labs.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "bespoke-minicheck:latest",
+      "size": "4.7GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "bespoke-minicheck:7b",
+      "size": "4.7GB",
+      "context": "32K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/bge-large.json b/data/models/bge-large.json
new file mode 100644
index 0000000..b844a65
--- /dev/null
+++ b/data/models/bge-large.json
@@ -0,0 +1,20 @@
+{
+  "model": "bge-large",
+  "url": "https://ollama.com/library/bge-large",
+  "description": "Embedding model from BAAI mapping texts to vectors.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "bge-large:latest",
+      "size": "671MB",
+      "context": "512",
+      "inputType": "Text"
+    },
+    {
+      "name": "bge-large:335m",
+      "size": "671MB",
+      "context": "512",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/bge-m3.json b/data/models/bge-m3.json
new file mode 100644
index 0000000..3ec56b7
--- /dev/null
+++ b/data/models/bge-m3.json
@@ -0,0 +1,20 @@
+{
+  "model": "bge-m3",
+  "url": "https://ollama.com/library/bge-m3",
+  "description": "BGE-M3 is a new model from BAAI distinguished for its versatility in Multi-Functionality, Multi-Linguality, and Multi-Granularity.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "bge-m3:latest",
+      "size": "1.2GB",
+      "context": "8K",
+      "inputType": "Text"
+    },
+    {
+      "name": "bge-m3:567m",
+      "size": "1.2GB",
+      "context": "8K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/codebooga.json b/data/models/codebooga.json
new file mode 100644
index 0000000..1b55e6b
--- /dev/null
+++ b/data/models/codebooga.json
@@ -0,0 +1,20 @@
+{
+  "model": "codebooga",
+  "url": "https://ollama.com/library/codebooga",
+  "description": "A high-performing code instruct model created by merging two existing code models.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "codebooga:latest",
+      "size": "19GB",
+      "context": "16K",
+      "inputType": "Text"
+    },
+    {
+      "name": "codebooga:34b",
+      "size": "19GB",
+      "context": "16K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/codegeex4.json b/data/models/codegeex4.json
new file mode 100644
index 0000000..920bbc0
--- /dev/null
+++ b/data/models/codegeex4.json
@@ -0,0 +1,20 @@
+{
+  "model": "codegeex4",
+  "url": "https://ollama.com/library/codegeex4",
+  "description": "A versatile model for AI software development scenarios, including code completion.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "codegeex4:latest",
+      "size": "5.5GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "codegeex4:9b",
+      "size": "5.5GB",
+      "context": "128K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/codegemma.json b/data/models/codegemma.json
new file mode 100644
index 0000000..ddfec85
--- /dev/null
+++ b/data/models/codegemma.json
@@ -0,0 +1,26 @@
+{
+  "model": "codegemma",
+  "url": "https://ollama.com/library/codegemma",
+  "description": "CodeGemma is a collection of powerful, lightweight models that can perform a variety of coding tasks like fill-in-the-middle code completion, code generation, natural language understanding, mathematical reasoning, and instruction following.",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "codegemma:latest",
+      "size": "5.0GB",
+      "context": "8K",
+      "inputType": "Text"
+    },
+    {
+      "name": "codegemma:2b",
+      "size": "1.6GB",
+      "context": "8K",
+      "inputType": "Text"
+    },
+    {
+      "name": "codegemma:7b",
+      "size": "5.0GB",
+      "context": "8K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/codellama.json b/data/models/codellama.json
new file mode 100644
index 0000000..1b3cdad
--- /dev/null
+++ b/data/models/codellama.json
@@ -0,0 +1,38 @@
+{
+  "model": "codellama",
+  "url": "https://ollama.com/library/codellama",
+  "description": "A large language model that can use text prompts to generate and discuss code.",
+  "variantsCount": 5,
+  "variants": [
+    {
+      "name": "codellama:latest",
+      "size": "3.8GB",
+      "context": "16K",
+      "inputType": "Text"
+    },
+    {
+      "name": "codellama:7b",
+      "size": "3.8GB",
+      "context": "16K",
+      "inputType": "Text"
+    },
+    {
+      "name": "codellama:13b",
+      "size": "7.4GB",
+      "context": "16K",
+      "inputType": "Text"
+    },
+    {
+      "name": "codellama:34b",
+      "size": "19GB",
+      "context": "16K",
+      "inputType": "Text"
+    },
+    {
+      "name": "codellama:70b",
+      "size": "39GB",
+      "context": "2K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/codeqwen.json b/data/models/codeqwen.json
new file mode 100644
index 0000000..d892f3c
--- /dev/null
+++ b/data/models/codeqwen.json
@@ -0,0 +1,20 @@
+{
+  "model": "codeqwen",
+  "url": "https://ollama.com/library/codeqwen",
+  "description": "CodeQwen1.5 is a large language model pretrained on a large amount of code data.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "codeqwen:latest",
+      "size": "4.2GB",
+      "context": "64K",
+      "inputType": "Text"
+    },
+    {
+      "name": "codeqwen:7b",
+      "size": "4.2GB",
+      "context": "64K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/codestral.json b/data/models/codestral.json
new file mode 100644
index 0000000..5670557
--- /dev/null
+++ b/data/models/codestral.json
@@ -0,0 +1,20 @@
+{
+  "model": "codestral",
+  "url": "https://ollama.com/library/codestral",
+  "description": "Codestral is Mistral AI’s first-ever code model designed for code generation tasks.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "codestral:latest",
+      "size": "13GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "codestral:22b",
+      "size": "13GB",
+      "context": "32K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/codeup.json b/data/models/codeup.json
new file mode 100644
index 0000000..adf340b
--- /dev/null
+++ b/data/models/codeup.json
@@ -0,0 +1,20 @@
+{
+  "model": "codeup",
+  "url": "https://ollama.com/library/codeup",
+  "description": "Great code generation model based on Llama2.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "codeup:latest",
+      "size": "7.4GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "codeup:13b",
+      "size": "7.4GB",
+      "context": "4K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/cogito.json b/data/models/cogito.json
new file mode 100644
index 0000000..3c234b7
--- /dev/null
+++ b/data/models/cogito.json
@@ -0,0 +1,44 @@
+{
+  "model": "cogito",
+  "url": "https://ollama.com/library/cogito",
+  "description": "Cogito v1 Preview is a family of hybrid reasoning models by Deep Cogito that outperform the best available open models of the same size, including counterparts from LLaMA, DeepSeek, and Qwen across most standard benchmarks.",
+  "variantsCount": 6,
+  "variants": [
+    {
+      "name": "cogito:latest",
+      "size": "4.9GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "cogito:3b",
+      "size": "2.2GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "cogito:8b",
+      "size": "4.9GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "cogito:14b",
+      "size": "9.0GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "cogito:32b",
+      "size": "20GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "cogito:70b",
+      "size": "43GB",
+      "context": "128K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/command-a.json b/data/models/command-a.json
new file mode 100644
index 0000000..aabff86
--- /dev/null
+++ b/data/models/command-a.json
@@ -0,0 +1,20 @@
+{
+  "model": "command-a",
+  "url": "https://ollama.com/library/command-a",
+  "description": "111 billion parameter model optimized for demanding enterprises that require fast, secure, and high-quality AI",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "command-a:latest",
+      "size": "67GB",
+      "context": "16K",
+      "inputType": "Text"
+    },
+    {
+      "name": "command-a:111b",
+      "size": "67GB",
+      "context": "16K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/command-r-plus.json b/data/models/command-r-plus.json
new file mode 100644
index 0000000..322bd55
--- /dev/null
+++ b/data/models/command-r-plus.json
@@ -0,0 +1,20 @@
+{
+  "model": "command-r-plus",
+  "url": "https://ollama.com/library/command-r-plus",
+  "description": "Command R+ is a powerful, scalable large language model purpose-built to excel at real-world enterprise use cases.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "command-r-plus:latest",
+      "size": "59GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "command-r-plus:104b",
+      "size": "59GB",
+      "context": "128K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/command-r.json b/data/models/command-r.json
new file mode 100644
index 0000000..c1ecac4
--- /dev/null
+++ b/data/models/command-r.json
@@ -0,0 +1,20 @@
+{
+  "model": "command-r",
+  "url": "https://ollama.com/library/command-r",
+  "description": "Command R is a Large Language Model optimized for conversational interaction and long context tasks.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "command-r:latest",
+      "size": "19GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "command-r:35b",
+      "size": "19GB",
+      "context": "128K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/command-r7b-arabic.json b/data/models/command-r7b-arabic.json
new file mode 100644
index 0000000..949a155
--- /dev/null
+++ b/data/models/command-r7b-arabic.json
@@ -0,0 +1,20 @@
+{
+  "model": "command-r7b-arabic",
+  "url": "https://ollama.com/library/command-r7b-arabic",
+  "description": "A new state-of-the-art version of the lightweight Command R7B model that excels in advanced Arabic language capabilities for enterprises in the Middle East and Northern Africa.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "command-r7b-arabic:latest",
+      "size": "5.1GB",
+      "context": "16K",
+      "inputType": "Text"
+    },
+    {
+      "name": "command-r7b-arabic:7b",
+      "size": "5.1GB",
+      "context": "16K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/command-r7b.json b/data/models/command-r7b.json
new file mode 100644
index 0000000..8d226c9
--- /dev/null
+++ b/data/models/command-r7b.json
@@ -0,0 +1,20 @@
+{
+  "model": "command-r7b",
+  "url": "https://ollama.com/library/command-r7b",
+  "description": "The smallest model in Cohere's R series delivers top-tier speed, efficiency, and quality to build powerful AI applications on commodity GPUs and edge devices.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "command-r7b:latest",
+      "size": "5.1GB",
+      "context": "8K",
+      "inputType": "Text"
+    },
+    {
+      "name": "command-r7b:7b",
+      "size": "5.1GB",
+      "context": "8K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/dbrx.json b/data/models/dbrx.json
new file mode 100644
index 0000000..db5f31a
--- /dev/null
+++ b/data/models/dbrx.json
@@ -0,0 +1,20 @@
+{
+  "model": "dbrx",
+  "url": "https://ollama.com/library/dbrx",
+  "description": "DBRX is an open, general-purpose LLM created by Databricks.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "dbrx:latest",
+      "size": "74GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "dbrx:132b",
+      "size": "74GB",
+      "context": "32K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/deepcoder.json b/data/models/deepcoder.json
new file mode 100644
index 0000000..803c6b3
--- /dev/null
+++ b/data/models/deepcoder.json
@@ -0,0 +1,26 @@
+{
+  "model": "deepcoder",
+  "url": "https://ollama.com/library/deepcoder",
+  "description": "DeepCoder is a fully open-Source 14B coder model at O3-mini level, with a 1.5B version also available.",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "deepcoder:latest",
+      "size": "9.0GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "deepcoder:1.5b",
+      "size": "1.1GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "deepcoder:14b",
+      "size": "9.0GB",
+      "context": "128K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/deepscaler.json b/data/models/deepscaler.json
new file mode 100644
index 0000000..9855285
--- /dev/null
+++ b/data/models/deepscaler.json
@@ -0,0 +1,20 @@
+{
+  "model": "deepscaler",
+  "url": "https://ollama.com/library/deepscaler",
+  "description": "A fine-tuned version of Deepseek-R1-Distilled-Qwen-1.5B that surpasses the performance of OpenAI’s o1-preview with just 1.5B parameters on popular math evaluations.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "deepscaler:latest",
+      "size": "3.6GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "deepscaler:1.5b",
+      "size": "3.6GB",
+      "context": "128K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/deepseek-coder-v2.json b/data/models/deepseek-coder-v2.json
new file mode 100644
index 0000000..a779979
--- /dev/null
+++ b/data/models/deepseek-coder-v2.json
@@ -0,0 +1,26 @@
+{
+  "model": "deepseek-coder-v2",
+  "url": "https://ollama.com/library/deepseek-coder-v2",
+  "description": "An open-source Mixture-of-Experts code language model that achieves performance comparable to GPT4-Turbo in code-specific tasks.",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "deepseek-coder-v2:latest",
+      "size": "8.9GB",
+      "context": "160K",
+      "inputType": "Text"
+    },
+    {
+      "name": "deepseek-coder-v2:16b",
+      "size": "8.9GB",
+      "context": "160K",
+      "inputType": "Text"
+    },
+    {
+      "name": "deepseek-coder-v2:236b",
+      "size": "133GB",
+      "context": "4K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/deepseek-coder.json b/data/models/deepseek-coder.json
new file mode 100644
index 0000000..321db38
--- /dev/null
+++ b/data/models/deepseek-coder.json
@@ -0,0 +1,32 @@
+{
+  "model": "deepseek-coder",
+  "url": "https://ollama.com/library/deepseek-coder",
+  "description": "DeepSeek Coder is a capable coding model trained on two trillion code and natural language tokens.",
+  "variantsCount": 4,
+  "variants": [
+    {
+      "name": "deepseek-coder:latest",
+      "size": "776MB",
+      "context": "16K",
+      "inputType": "Text"
+    },
+    {
+      "name": "deepseek-coder:1.3b",
+      "size": "776MB",
+      "context": "16K",
+      "inputType": "Text"
+    },
+    {
+      "name": "deepseek-coder:6.7b",
+      "size": "3.8GB",
+      "context": "16K",
+      "inputType": "Text"
+    },
+    {
+      "name": "deepseek-coder:33b",
+      "size": "19GB",
+      "context": "16K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/deepseek-llm.json b/data/models/deepseek-llm.json
new file mode 100644
index 0000000..1c00056
--- /dev/null
+++ b/data/models/deepseek-llm.json
@@ -0,0 +1,26 @@
+{
+  "model": "deepseek-llm",
+  "url": "https://ollama.com/library/deepseek-llm",
+  "description": "An advanced language model crafted with 2 trillion bilingual tokens.",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "deepseek-llm:latest",
+      "size": "4.0GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "deepseek-llm:7b",
+      "size": "4.0GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "deepseek-llm:67b",
+      "size": "38GB",
+      "context": "4K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/deepseek-r1.json b/data/models/deepseek-r1.json
new file mode 100644
index 0000000..dd0a257
--- /dev/null
+++ b/data/models/deepseek-r1.json
@@ -0,0 +1,56 @@
+{
+  "model": "deepseek-r1",
+  "url": "https://ollama.com/library/deepseek-r1",
+  "description": "DeepSeek-R1 is a family of open reasoning models with performance approaching that of leading models, such as O3 and Gemini 2.5 Pro.",
+  "variantsCount": 8,
+  "variants": [
+    {
+      "name": "deepseek-r1:latest",
+      "size": "5.2GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "deepseek-r1:1.5b",
+      "size": "1.1GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "deepseek-r1:7b",
+      "size": "4.7GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "deepseek-r1:8b",
+      "size": "5.2GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "deepseek-r1:14b",
+      "size": "9.0GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "deepseek-r1:32b",
+      "size": "20GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "deepseek-r1:70b",
+      "size": "43GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "deepseek-r1:671b",
+      "size": "404GB",
+      "context": "160K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/deepseek-v2.5.json b/data/models/deepseek-v2.5.json
new file mode 100644
index 0000000..492ef8e
--- /dev/null
+++ b/data/models/deepseek-v2.5.json
@@ -0,0 +1,20 @@
+{
+  "model": "deepseek-v2.5",
+  "url": "https://ollama.com/library/deepseek-v2.5",
+  "description": "An upgraded version of DeekSeek-V2  that integrates the general and coding abilities of both DeepSeek-V2-Chat and DeepSeek-Coder-V2-Instruct.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "deepseek-v2.5:latest",
+      "size": "133GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "deepseek-v2.5:236b",
+      "size": "133GB",
+      "context": "4K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/deepseek-v2.json b/data/models/deepseek-v2.json
new file mode 100644
index 0000000..ea29800
--- /dev/null
+++ b/data/models/deepseek-v2.json
@@ -0,0 +1,26 @@
+{
+  "model": "deepseek-v2",
+  "url": "https://ollama.com/library/deepseek-v2",
+  "description": "A strong, economical, and efficient Mixture-of-Experts language model.",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "deepseek-v2:latest",
+      "size": "8.9GB",
+      "context": "160K",
+      "inputType": "Text"
+    },
+    {
+      "name": "deepseek-v2:16b",
+      "size": "8.9GB",
+      "context": "160K",
+      "inputType": "Text"
+    },
+    {
+      "name": "deepseek-v2:236b",
+      "size": "133GB",
+      "context": "4K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/deepseek-v3.1.json b/data/models/deepseek-v3.1.json
new file mode 100644
index 0000000..1b30dca
--- /dev/null
+++ b/data/models/deepseek-v3.1.json
@@ -0,0 +1,26 @@
+{
+  "model": "deepseek-v3.1",
+  "url": "https://ollama.com/library/deepseek-v3.1",
+  "description": "DeepSeek-V3.1-Terminus is a hybrid model that supports both thinking mode and non-thinking mode.",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "deepseek-v3.1:latest",
+      "size": "404GB",
+      "context": "160K",
+      "inputType": "Text"
+    },
+    {
+      "name": "deepseek-v3.1:671b",
+      "size": "404GB",
+      "context": "160K",
+      "inputType": "Text"
+    },
+    {
+      "name": "deepseek-v3.1:671b-cloud",
+      "size": "-",
+      "context": "160K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/deepseek-v3.json b/data/models/deepseek-v3.json
new file mode 100644
index 0000000..3c7ff38
--- /dev/null
+++ b/data/models/deepseek-v3.json
@@ -0,0 +1,20 @@
+{
+  "model": "deepseek-v3",
+  "url": "https://ollama.com/library/deepseek-v3",
+  "description": "A strong Mixture-of-Experts (MoE) language model with 671B total parameters with 37B activated for each token.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "deepseek-v3:latest",
+      "size": "404GB",
+      "context": "160K",
+      "inputType": "Text"
+    },
+    {
+      "name": "deepseek-v3:671b",
+      "size": "404GB",
+      "context": "160K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/devstral.json b/data/models/devstral.json
new file mode 100644
index 0000000..4cf70cb
--- /dev/null
+++ b/data/models/devstral.json
@@ -0,0 +1,20 @@
+{
+  "model": "devstral",
+  "url": "https://ollama.com/library/devstral",
+  "description": "Devstral: the best open source model for coding agents",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "devstral:latest",
+      "size": "14GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "devstral:24b",
+      "size": "14GB",
+      "context": "128K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/dolphin-llama3.json b/data/models/dolphin-llama3.json
new file mode 100644
index 0000000..909ce32
--- /dev/null
+++ b/data/models/dolphin-llama3.json
@@ -0,0 +1,26 @@
+{
+  "model": "dolphin-llama3",
+  "url": "https://ollama.com/library/dolphin-llama3",
+  "description": "Dolphin 2.9 is a new model with 8B and 70B sizes by Eric Hartford based on Llama 3 that has a variety of instruction, conversational, and coding skills.",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "dolphin-llama3:latest",
+      "size": "4.7GB",
+      "context": "8K",
+      "inputType": "Text"
+    },
+    {
+      "name": "dolphin-llama3:8b",
+      "size": "4.7GB",
+      "context": "8K",
+      "inputType": "Text"
+    },
+    {
+      "name": "dolphin-llama3:70b",
+      "size": "40GB",
+      "context": "8K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/dolphin-mistral.json b/data/models/dolphin-mistral.json
new file mode 100644
index 0000000..98bcd63
--- /dev/null
+++ b/data/models/dolphin-mistral.json
@@ -0,0 +1,20 @@
+{
+  "model": "dolphin-mistral",
+  "url": "https://ollama.com/library/dolphin-mistral",
+  "description": "The uncensored Dolphin model based on Mistral that excels at coding tasks. Updated to version 2.8.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "dolphin-mistral:latest",
+      "size": "4.1GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "dolphin-mistral:7b",
+      "size": "4.1GB",
+      "context": "32K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/dolphin-mixtral.json b/data/models/dolphin-mixtral.json
new file mode 100644
index 0000000..0267cc7
--- /dev/null
+++ b/data/models/dolphin-mixtral.json
@@ -0,0 +1,26 @@
+{
+  "model": "dolphin-mixtral",
+  "url": "https://ollama.com/library/dolphin-mixtral",
+  "description": "Uncensored, 8x7b and 8x22b fine-tuned models based on the Mixtral mixture of experts models that excels at coding tasks. Created by Eric Hartford.",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "dolphin-mixtral:latest",
+      "size": "26GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "dolphin-mixtral:8x7b",
+      "size": "26GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "dolphin-mixtral:8x22b",
+      "size": "80GB",
+      "context": "64K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/dolphin-phi.json b/data/models/dolphin-phi.json
new file mode 100644
index 0000000..146dc4a
--- /dev/null
+++ b/data/models/dolphin-phi.json
@@ -0,0 +1,20 @@
+{
+  "model": "dolphin-phi",
+  "url": "https://ollama.com/library/dolphin-phi",
+  "description": "2.7B uncensored Dolphin model by Eric Hartford, based on the Phi language model by Microsoft Research.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "dolphin-phi:latest",
+      "size": "1.6GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "dolphin-phi:2.7b",
+      "size": "1.6GB",
+      "context": "2K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/dolphin3.json b/data/models/dolphin3.json
new file mode 100644
index 0000000..1b0bcfb
--- /dev/null
+++ b/data/models/dolphin3.json
@@ -0,0 +1,20 @@
+{
+  "model": "dolphin3",
+  "url": "https://ollama.com/library/dolphin3",
+  "description": "Dolphin 3.0 Llama 3.1 8B 🐬 is the next generation of the Dolphin series of instruct-tuned models designed to be the ultimate general purpose local model, enabling coding, math, agentic, function calling, and general use cases.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "dolphin3:latest",
+      "size": "4.9GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "dolphin3:8b",
+      "size": "4.9GB",
+      "context": "128K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/dolphincoder.json b/data/models/dolphincoder.json
new file mode 100644
index 0000000..c15fa55
--- /dev/null
+++ b/data/models/dolphincoder.json
@@ -0,0 +1,26 @@
+{
+  "model": "dolphincoder",
+  "url": "https://ollama.com/library/dolphincoder",
+  "description": "A 7B and 15B uncensored variant of the Dolphin model family that excels at coding, based on StarCoder2.",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "dolphincoder:latest",
+      "size": "4.2GB",
+      "context": "16K",
+      "inputType": "Text"
+    },
+    {
+      "name": "dolphincoder:7b",
+      "size": "4.2GB",
+      "context": "16K",
+      "inputType": "Text"
+    },
+    {
+      "name": "dolphincoder:15b",
+      "size": "9.1GB",
+      "context": "16K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/duckdb-nsql.json b/data/models/duckdb-nsql.json
new file mode 100644
index 0000000..d746364
--- /dev/null
+++ b/data/models/duckdb-nsql.json
@@ -0,0 +1,20 @@
+{
+  "model": "duckdb-nsql",
+  "url": "https://ollama.com/library/duckdb-nsql",
+  "description": "7B parameter text-to-SQL model made by MotherDuck and Numbers Station.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "duckdb-nsql:latest",
+      "size": "3.8GB",
+      "context": "16K",
+      "inputType": "Text"
+    },
+    {
+      "name": "duckdb-nsql:7b",
+      "size": "3.8GB",
+      "context": "16K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/embeddinggemma.json b/data/models/embeddinggemma.json
new file mode 100644
index 0000000..35bfbc4
--- /dev/null
+++ b/data/models/embeddinggemma.json
@@ -0,0 +1,20 @@
+{
+  "model": "embeddinggemma",
+  "url": "https://ollama.com/library/embeddinggemma",
+  "description": "EmbeddingGemma is a 300M parameter embedding model from Google.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "embeddinggemma:latest",
+      "size": "622MB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "embeddinggemma:300m",
+      "size": "622MB",
+      "context": "2K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/everythinglm.json b/data/models/everythinglm.json
new file mode 100644
index 0000000..d46f392
--- /dev/null
+++ b/data/models/everythinglm.json
@@ -0,0 +1,20 @@
+{
+  "model": "everythinglm",
+  "url": "https://ollama.com/library/everythinglm",
+  "description": "Uncensored Llama2 based model with support for a 16K context window.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "everythinglm:latest",
+      "size": "7.4GB",
+      "context": "16K",
+      "inputType": "Text"
+    },
+    {
+      "name": "everythinglm:13b",
+      "size": "7.4GB",
+      "context": "16K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/exaone-deep.json b/data/models/exaone-deep.json
new file mode 100644
index 0000000..a809ad2
--- /dev/null
+++ b/data/models/exaone-deep.json
@@ -0,0 +1,32 @@
+{
+  "model": "exaone-deep",
+  "url": "https://ollama.com/library/exaone-deep",
+  "description": "EXAONE Deep exhibits superior capabilities in various reasoning tasks including math and coding benchmarks, ranging from 2.4B to 32B parameters developed and released by LG AI Research.",
+  "variantsCount": 4,
+  "variants": [
+    {
+      "name": "exaone-deep:latest",
+      "size": "4.8GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "exaone-deep:2.4b",
+      "size": "1.6GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "exaone-deep:7.8b",
+      "size": "4.8GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "exaone-deep:32b",
+      "size": "19GB",
+      "context": "32K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/exaone3.5.json b/data/models/exaone3.5.json
new file mode 100644
index 0000000..ad4c673
--- /dev/null
+++ b/data/models/exaone3.5.json
@@ -0,0 +1,32 @@
+{
+  "model": "exaone3.5",
+  "url": "https://ollama.com/library/exaone3.5",
+  "description": "EXAONE 3.5 is a collection of instruction-tuned bilingual (English and Korean) generative models ranging from 2.4B to 32B parameters, developed and released by LG AI Research. ",
+  "variantsCount": 4,
+  "variants": [
+    {
+      "name": "exaone3.5:latest",
+      "size": "4.8GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "exaone3.5:2.4b",
+      "size": "1.6GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "exaone3.5:7.8b",
+      "size": "4.8GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "exaone3.5:32b",
+      "size": "19GB",
+      "context": "32K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/falcon.json b/data/models/falcon.json
new file mode 100644
index 0000000..37b6791
--- /dev/null
+++ b/data/models/falcon.json
@@ -0,0 +1,32 @@
+{
+  "model": "falcon",
+  "url": "https://ollama.com/library/falcon",
+  "description": "A large language model built by the Technology Innovation Institute (TII) for use in summarization, text generation, and chat bots.",
+  "variantsCount": 4,
+  "variants": [
+    {
+      "name": "falcon:latest",
+      "size": "4.2GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "falcon:7b",
+      "size": "4.2GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "falcon:40b",
+      "size": "24GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "falcon:180b",
+      "size": "101GB",
+      "context": "2K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/falcon2.json b/data/models/falcon2.json
new file mode 100644
index 0000000..55cd2aa
--- /dev/null
+++ b/data/models/falcon2.json
@@ -0,0 +1,20 @@
+{
+  "model": "falcon2",
+  "url": "https://ollama.com/library/falcon2",
+  "description": "Falcon2 is an 11B parameters causal decoder-only model built by TII and trained over 5T tokens.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "falcon2:latest",
+      "size": "6.4GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "falcon2:11b",
+      "size": "6.4GB",
+      "context": "2K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/falcon3.json b/data/models/falcon3.json
new file mode 100644
index 0000000..1d36b19
--- /dev/null
+++ b/data/models/falcon3.json
@@ -0,0 +1,38 @@
+{
+  "model": "falcon3",
+  "url": "https://ollama.com/library/falcon3",
+  "description": "A family of efficient AI models under 10B parameters performant in science, math, and coding through innovative training techniques.",
+  "variantsCount": 5,
+  "variants": [
+    {
+      "name": "falcon3:latest",
+      "size": "4.6GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "falcon3:1b",
+      "size": "1.8GB",
+      "context": "8K",
+      "inputType": "Text"
+    },
+    {
+      "name": "falcon3:3b",
+      "size": "2.0GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "falcon3:7b",
+      "size": "4.6GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "falcon3:10b",
+      "size": "6.3GB",
+      "context": "32K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/firefunction-v2.json b/data/models/firefunction-v2.json
new file mode 100644
index 0000000..8884502
--- /dev/null
+++ b/data/models/firefunction-v2.json
@@ -0,0 +1,20 @@
+{
+  "model": "firefunction-v2",
+  "url": "https://ollama.com/library/firefunction-v2",
+  "description": "An open weights function calling model based on Llama 3, competitive with GPT-4o function calling capabilities.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "firefunction-v2:latest",
+      "size": "40GB",
+      "context": "8K",
+      "inputType": "Text"
+    },
+    {
+      "name": "firefunction-v2:70b",
+      "size": "40GB",
+      "context": "8K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/gemini-3-pro-preview.json b/data/models/gemini-3-pro-preview.json
new file mode 100644
index 0000000..9c3df39
--- /dev/null
+++ b/data/models/gemini-3-pro-preview.json
@@ -0,0 +1,14 @@
+{
+  "model": "gemini-3-pro-preview",
+  "url": "https://ollama.com/library/gemini-3-pro-preview",
+  "description": "Google's most intelligent model with SOTA reasoning and multimodal understanding, and powerful agentic and vibe coding capabilities.",
+  "variantsCount": 1,
+  "variants": [
+    {
+      "name": "gemini-3-pro-preview:latest",
+      "size": "-",
+      "context": "1M",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/gemma.json b/data/models/gemma.json
new file mode 100644
index 0000000..5b473ca
--- /dev/null
+++ b/data/models/gemma.json
@@ -0,0 +1,26 @@
+{
+  "model": "gemma",
+  "url": "https://ollama.com/library/gemma",
+  "description": "Gemma is a family of lightweight, state-of-the-art open models built by Google DeepMind. Updated to version 1.1",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "gemma:latest",
+      "size": "5.0GB",
+      "context": "8K",
+      "inputType": "Text"
+    },
+    {
+      "name": "gemma:2b",
+      "size": "1.7GB",
+      "context": "8K",
+      "inputType": "Text"
+    },
+    {
+      "name": "gemma:7b",
+      "size": "5.0GB",
+      "context": "8K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/gemma2.json b/data/models/gemma2.json
new file mode 100644
index 0000000..617dbff
--- /dev/null
+++ b/data/models/gemma2.json
@@ -0,0 +1,32 @@
+{
+  "model": "gemma2",
+  "url": "https://ollama.com/library/gemma2",
+  "description": "Google Gemma 2 is a high-performing and efficient model available in three sizes: 2B, 9B, and 27B.",
+  "variantsCount": 4,
+  "variants": [
+    {
+      "name": "gemma2:latest",
+      "size": "5.4GB",
+      "context": "8K",
+      "inputType": "Text"
+    },
+    {
+      "name": "gemma2:2b",
+      "size": "1.6GB",
+      "context": "8K",
+      "inputType": "Text"
+    },
+    {
+      "name": "gemma2:9b",
+      "size": "5.4GB",
+      "context": "8K",
+      "inputType": "Text"
+    },
+    {
+      "name": "gemma2:27b",
+      "size": "16GB",
+      "context": "8K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/gemma3.json b/data/models/gemma3.json
new file mode 100644
index 0000000..43a82d5
--- /dev/null
+++ b/data/models/gemma3.json
@@ -0,0 +1,44 @@
+{
+  "model": "gemma3",
+  "url": "https://ollama.com/library/gemma3",
+  "description": "The current, most capable model that runs on a single GPU.",
+  "variantsCount": 6,
+  "variants": [
+    {
+      "name": "gemma3:latest",
+      "size": "3.3GB",
+      "context": "128K",
+      "inputType": "Text, Image"
+    },
+    {
+      "name": "gemma3:270m",
+      "size": "292MB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "gemma3:1b",
+      "size": "815MB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "gemma3:4b",
+      "size": "3.3GB",
+      "context": "128K",
+      "inputType": "Text, Image"
+    },
+    {
+      "name": "gemma3:12b",
+      "size": "8.1GB",
+      "context": "128K",
+      "inputType": "Text, Image"
+    },
+    {
+      "name": "gemma3:27b",
+      "size": "17GB",
+      "context": "128K",
+      "inputType": "Text, Image"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/gemma3n.json b/data/models/gemma3n.json
new file mode 100644
index 0000000..7a42988
--- /dev/null
+++ b/data/models/gemma3n.json
@@ -0,0 +1,26 @@
+{
+  "model": "gemma3n",
+  "url": "https://ollama.com/library/gemma3n",
+  "description": "Gemma 3n models are designed for efficient execution on everyday devices such as laptops, tablets or phones. ",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "gemma3n:latest",
+      "size": "7.5GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "gemma3n:e2b",
+      "size": "5.6GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "gemma3n:e4b",
+      "size": "7.5GB",
+      "context": "32K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/glm-4.6.json b/data/models/glm-4.6.json
new file mode 100644
index 0000000..c6d0462
--- /dev/null
+++ b/data/models/glm-4.6.json
@@ -0,0 +1,14 @@
+{
+  "model": "glm-4.6",
+  "url": "https://ollama.com/library/glm-4.6",
+  "description": "Advanced agentic, reasoning and coding capabilities.",
+  "variantsCount": 1,
+  "variants": [
+    {
+      "name": "glm-4.6:cloud",
+      "size": "-",
+      "context": "198K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/glm4.json b/data/models/glm4.json
new file mode 100644
index 0000000..541d6fa
--- /dev/null
+++ b/data/models/glm4.json
@@ -0,0 +1,20 @@
+{
+  "model": "glm4",
+  "url": "https://ollama.com/library/glm4",
+  "description": "A strong multi-lingual general language model with competitive performance to Llama 3.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "glm4:latest",
+      "size": "5.5GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "glm4:9b",
+      "size": "5.5GB",
+      "context": "128K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/goliath.json b/data/models/goliath.json
new file mode 100644
index 0000000..7f18244
--- /dev/null
+++ b/data/models/goliath.json
@@ -0,0 +1,104 @@
+{
+  "model": "goliath",
+  "url": "https://ollama.com/library/goliath",
+  "description": "A language model created by combining two fine-tuned Llama 2 70B models into one.",
+  "variantsCount": 16,
+  "variants": [
+    {
+      "name": "goliath:latest",
+      "size": "66GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "goliath:120b-q2_K",
+      "size": "50GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "goliath:120b-q3_K_S",
+      "size": "51GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "goliath:120b-q3_K_M",
+      "size": "56GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "goliath:120b-q3_K_L",
+      "size": "62GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "goliath:120b-q4_0",
+      "size": "66GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "goliath:120b-q4_1",
+      "size": "74GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "goliath:120b-q4_K_S",
+      "size": "66GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "goliath:120b-q4_K_M",
+      "size": "71GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "goliath:120b-q5_0",
+      "size": "81GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "goliath:120b-q5_1",
+      "size": "88GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "goliath:120b-q5_K_S",
+      "size": "81GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "goliath:120b-q5_K_M",
+      "size": "83GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "goliath:120b-q6_K",
+      "size": "97GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "goliath:120b-q8_0",
+      "size": "125GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "goliath:120b-fp16",
+      "size": "236GB",
+      "context": "4K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/gpt-oss-safeguard.json b/data/models/gpt-oss-safeguard.json
new file mode 100644
index 0000000..25427a2
--- /dev/null
+++ b/data/models/gpt-oss-safeguard.json
@@ -0,0 +1,26 @@
+{
+  "model": "gpt-oss-safeguard",
+  "url": "https://ollama.com/library/gpt-oss-safeguard",
+  "description": "gpt-oss-safeguard-20b and gpt-oss-safeguard-120b are safety reasoning models built-upon gpt-oss",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "gpt-oss-safeguard:latest",
+      "size": "14GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "gpt-oss-safeguard:20b",
+      "size": "14GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "gpt-oss-safeguard:120b",
+      "size": "65GB",
+      "context": "128K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/gpt-oss.json b/data/models/gpt-oss.json
new file mode 100644
index 0000000..a742778
--- /dev/null
+++ b/data/models/gpt-oss.json
@@ -0,0 +1,38 @@
+{
+  "model": "gpt-oss",
+  "url": "https://ollama.com/library/gpt-oss",
+  "description": "OpenAI’s open-weight models designed for powerful reasoning, agentic tasks, and versatile developer use cases.",
+  "variantsCount": 5,
+  "variants": [
+    {
+      "name": "gpt-oss:latest",
+      "size": "14GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "gpt-oss:20b",
+      "size": "14GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "gpt-oss:120b",
+      "size": "65GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "gpt-oss:20b-cloud",
+      "size": "-",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "gpt-oss:120b-cloud",
+      "size": "-",
+      "context": "128K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/granite-code.json b/data/models/granite-code.json
new file mode 100644
index 0000000..39fc702
--- /dev/null
+++ b/data/models/granite-code.json
@@ -0,0 +1,38 @@
+{
+  "model": "granite-code",
+  "url": "https://ollama.com/library/granite-code",
+  "description": "A family of open foundation models by IBM for Code Intelligence",
+  "variantsCount": 5,
+  "variants": [
+    {
+      "name": "granite-code:latest",
+      "size": "2.0GB",
+      "context": "125K",
+      "inputType": "Text"
+    },
+    {
+      "name": "granite-code:3b",
+      "size": "2.0GB",
+      "context": "125K",
+      "inputType": "Text"
+    },
+    {
+      "name": "granite-code:8b",
+      "size": "4.6GB",
+      "context": "125K",
+      "inputType": "Text"
+    },
+    {
+      "name": "granite-code:20b",
+      "size": "12GB",
+      "context": "8K",
+      "inputType": "Text"
+    },
+    {
+      "name": "granite-code:34b",
+      "size": "19GB",
+      "context": "8K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/granite-embedding.json b/data/models/granite-embedding.json
new file mode 100644
index 0000000..33fcebe
--- /dev/null
+++ b/data/models/granite-embedding.json
@@ -0,0 +1,26 @@
+{
+  "model": "granite-embedding",
+  "url": "https://ollama.com/library/granite-embedding",
+  "description": "The IBM Granite Embedding 30M and 278M models models are text-only dense biencoder embedding models, with 30M available in English only and 278M serving multilingual use cases.",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "granite-embedding:latest",
+      "size": "63MB",
+      "context": "512",
+      "inputType": "Text"
+    },
+    {
+      "name": "granite-embedding:30m",
+      "size": "63MB",
+      "context": "512",
+      "inputType": "Text"
+    },
+    {
+      "name": "granite-embedding:278m",
+      "size": "563MB",
+      "context": "512",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/granite3-dense.json b/data/models/granite3-dense.json
new file mode 100644
index 0000000..8b8fabf
--- /dev/null
+++ b/data/models/granite3-dense.json
@@ -0,0 +1,26 @@
+{
+  "model": "granite3-dense",
+  "url": "https://ollama.com/library/granite3-dense",
+  "description": "The IBM Granite 2B and 8B models are designed to support tool-based use cases and support for retrieval augmented generation (RAG), streamlining code generation, translation and bug fixing.",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "granite3-dense:latest",
+      "size": "1.6GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "granite3-dense:2b",
+      "size": "1.6GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "granite3-dense:8b",
+      "size": "4.9GB",
+      "context": "4K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/granite3-guardian.json b/data/models/granite3-guardian.json
new file mode 100644
index 0000000..a55df8c
--- /dev/null
+++ b/data/models/granite3-guardian.json
@@ -0,0 +1,26 @@
+{
+  "model": "granite3-guardian",
+  "url": "https://ollama.com/library/granite3-guardian",
+  "description": "The IBM Granite Guardian 3.0 2B and 8B models are designed to detect risks in prompts and/or responses.",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "granite3-guardian:latest",
+      "size": "2.7GB",
+      "context": "8K",
+      "inputType": "Text"
+    },
+    {
+      "name": "granite3-guardian:2b",
+      "size": "2.7GB",
+      "context": "8K",
+      "inputType": "Text"
+    },
+    {
+      "name": "granite3-guardian:8b",
+      "size": "5.8GB",
+      "context": "8K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/granite3-moe.json b/data/models/granite3-moe.json
new file mode 100644
index 0000000..673fcb1
--- /dev/null
+++ b/data/models/granite3-moe.json
@@ -0,0 +1,26 @@
+{
+  "model": "granite3-moe",
+  "url": "https://ollama.com/library/granite3-moe",
+  "description": "The IBM Granite 1B and 3B models are the first mixture of experts (MoE) Granite models from IBM designed for low latency usage.",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "granite3-moe:latest",
+      "size": "822MB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "granite3-moe:1b",
+      "size": "822MB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "granite3-moe:3b",
+      "size": "2.1GB",
+      "context": "4K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/granite3.1-dense.json b/data/models/granite3.1-dense.json
new file mode 100644
index 0000000..9c47d5b
--- /dev/null
+++ b/data/models/granite3.1-dense.json
@@ -0,0 +1,26 @@
+{
+  "model": "granite3.1-dense",
+  "url": "https://ollama.com/library/granite3.1-dense",
+  "description": "The IBM Granite 2B and 8B models are text-only dense LLMs trained on over 12 trillion tokens of data, demonstrated significant improvements over their predecessors in performance and speed in IBM’s initial testing.",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "granite3.1-dense:latest",
+      "size": "5.0GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "granite3.1-dense:2b",
+      "size": "1.6GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "granite3.1-dense:8b",
+      "size": "5.0GB",
+      "context": "128K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/granite3.1-moe.json b/data/models/granite3.1-moe.json
new file mode 100644
index 0000000..f1c15d9
--- /dev/null
+++ b/data/models/granite3.1-moe.json
@@ -0,0 +1,26 @@
+{
+  "model": "granite3.1-moe",
+  "url": "https://ollama.com/library/granite3.1-moe",
+  "description": "The IBM Granite 1B and 3B models are long-context mixture of experts (MoE) Granite models from IBM designed for low latency usage.",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "granite3.1-moe:latest",
+      "size": "2.0GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "granite3.1-moe:1b",
+      "size": "1.4GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "granite3.1-moe:3b",
+      "size": "2.0GB",
+      "context": "128K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/granite3.2-vision.json b/data/models/granite3.2-vision.json
new file mode 100644
index 0000000..99103c9
--- /dev/null
+++ b/data/models/granite3.2-vision.json
@@ -0,0 +1,20 @@
+{
+  "model": "granite3.2-vision",
+  "url": "https://ollama.com/library/granite3.2-vision",
+  "description": "A compact and efficient vision-language model, specifically designed for visual document understanding, enabling automated content extraction from tables, charts, infographics, plots, diagrams, and more.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "granite3.2-vision:latest",
+      "size": "2.4GB",
+      "context": "16K",
+      "inputType": "Text, Image"
+    },
+    {
+      "name": "granite3.2-vision:2b",
+      "size": "2.4GB",
+      "context": "16K",
+      "inputType": "Text, Image"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/granite3.2.json b/data/models/granite3.2.json
new file mode 100644
index 0000000..d96ee30
--- /dev/null
+++ b/data/models/granite3.2.json
@@ -0,0 +1,26 @@
+{
+  "model": "granite3.2",
+  "url": "https://ollama.com/library/granite3.2",
+  "description": "Granite-3.2 is a family of long-context AI models from IBM Granite fine-tuned for thinking capabilities.",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "granite3.2:latest",
+      "size": "4.9GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "granite3.2:2b",
+      "size": "1.5GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "granite3.2:8b",
+      "size": "4.9GB",
+      "context": "128K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/granite3.3.json b/data/models/granite3.3.json
new file mode 100644
index 0000000..ac8c705
--- /dev/null
+++ b/data/models/granite3.3.json
@@ -0,0 +1,26 @@
+{
+  "model": "granite3.3",
+  "url": "https://ollama.com/library/granite3.3",
+  "description": "IBM Granite 2B and 8B models are 128K context length language models that have been fine-tuned for improved reasoning and instruction-following capabilities.",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "granite3.3:latest",
+      "size": "4.9GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "granite3.3:2b",
+      "size": "1.5GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "granite3.3:8b",
+      "size": "4.9GB",
+      "context": "128K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/granite4.json b/data/models/granite4.json
new file mode 100644
index 0000000..d8e90aa
--- /dev/null
+++ b/data/models/granite4.json
@@ -0,0 +1,32 @@
+{
+  "model": "granite4",
+  "url": "https://ollama.com/library/granite4",
+  "description": "Granite 4 features improved instruction following (IF) and tool-calling capabilities, making them more effective in enterprise applications.",
+  "variantsCount": 4,
+  "variants": [
+    {
+      "name": "granite4:latest",
+      "size": "2.1GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "granite4:350m",
+      "size": "708MB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "granite4:1b",
+      "size": "3.3GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "granite4:3b",
+      "size": "2.1GB",
+      "context": "128K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/hermes3.json b/data/models/hermes3.json
new file mode 100644
index 0000000..8bd8a14
--- /dev/null
+++ b/data/models/hermes3.json
@@ -0,0 +1,38 @@
+{
+  "model": "hermes3",
+  "url": "https://ollama.com/library/hermes3",
+  "description": "Hermes 3 is the latest version of the flagship Hermes series of LLMs by Nous Research",
+  "variantsCount": 5,
+  "variants": [
+    {
+      "name": "hermes3:latest",
+      "size": "4.7GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "hermes3:3b",
+      "size": "2.0GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "hermes3:8b",
+      "size": "4.7GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "hermes3:70b",
+      "size": "40GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "hermes3:405b",
+      "size": "229GB",
+      "context": "128K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/internlm2.json b/data/models/internlm2.json
new file mode 100644
index 0000000..200f70d
--- /dev/null
+++ b/data/models/internlm2.json
@@ -0,0 +1,38 @@
+{
+  "model": "internlm2",
+  "url": "https://ollama.com/library/internlm2",
+  "description": "InternLM2.5 is a 7B parameter model tailored for practical scenarios with outstanding reasoning capability.",
+  "variantsCount": 5,
+  "variants": [
+    {
+      "name": "internlm2:latest",
+      "size": "4.5GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "internlm2:1m",
+      "size": "4.5GB",
+      "context": "256K",
+      "inputType": "Text"
+    },
+    {
+      "name": "internlm2:1.8b",
+      "size": "1.1GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "internlm2:7b",
+      "size": "4.5GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "internlm2:20b",
+      "size": "11GB",
+      "context": "32K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/kimi-k2-thinking.json b/data/models/kimi-k2-thinking.json
new file mode 100644
index 0000000..eb42f06
--- /dev/null
+++ b/data/models/kimi-k2-thinking.json
@@ -0,0 +1,14 @@
+{
+  "model": "kimi-k2-thinking",
+  "url": "https://ollama.com/library/kimi-k2-thinking",
+  "description": "Kimi K2 Thinking, Moonshot AI's best open-source thinking model.",
+  "variantsCount": 1,
+  "variants": [
+    {
+      "name": "kimi-k2-thinking:cloud",
+      "size": "-",
+      "context": "256K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/kimi-k2.json b/data/models/kimi-k2.json
new file mode 100644
index 0000000..627e9bc
--- /dev/null
+++ b/data/models/kimi-k2.json
@@ -0,0 +1,14 @@
+{
+  "model": "kimi-k2",
+  "url": "https://ollama.com/library/kimi-k2",
+  "description": "A state-of-the-art mixture-of-experts (MoE) language model. Kimi K2-Instruct-0905 demonstrates significant improvements in performance on public benchmarks and real-world coding agent tasks.",
+  "variantsCount": 1,
+  "variants": [
+    {
+      "name": "kimi-k2:1t-cloud",
+      "size": "-",
+      "context": "256K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/llama-guard3.json b/data/models/llama-guard3.json
new file mode 100644
index 0000000..c599492
--- /dev/null
+++ b/data/models/llama-guard3.json
@@ -0,0 +1,26 @@
+{
+  "model": "llama-guard3",
+  "url": "https://ollama.com/library/llama-guard3",
+  "description": "Llama Guard 3 is a series of models fine-tuned for content safety classification of LLM inputs and responses.",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "llama-guard3:latest",
+      "size": "4.9GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama-guard3:1b",
+      "size": "1.6GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama-guard3:8b",
+      "size": "4.9GB",
+      "context": "128K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/llama-pro.json b/data/models/llama-pro.json
new file mode 100644
index 0000000..f95ec1e
--- /dev/null
+++ b/data/models/llama-pro.json
@@ -0,0 +1,206 @@
+{
+  "model": "llama-pro",
+  "url": "https://ollama.com/library/llama-pro",
+  "description": "An expansion of Llama 2 that specializes in integrating both general language understanding and domain-specific knowledge, particularly in programming and mathematics.",
+  "variantsCount": 33,
+  "variants": [
+    {
+      "name": "llama-pro:latest",
+      "size": "4.7GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama-pro:instruct",
+      "size": "4.7GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama-pro:text",
+      "size": "4.7GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama-pro:8b-instruct-q2_K",
+      "size": "3.5GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama-pro:8b-instruct-q3_K_S",
+      "size": "3.6GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama-pro:8b-instruct-q3_K_M",
+      "size": "4.1GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama-pro:8b-instruct-q3_K_L",
+      "size": "4.5GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama-pro:8b-instruct-q4_0",
+      "size": "4.7GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama-pro:8b-instruct-q4_1",
+      "size": "5.3GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama-pro:8b-instruct-q4_K_S",
+      "size": "4.8GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama-pro:8b-instruct-q4_K_M",
+      "size": "5.1GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama-pro:8b-instruct-q5_0",
+      "size": "5.8GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama-pro:8b-instruct-q5_1",
+      "size": "6.3GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama-pro:8b-instruct-q5_K_S",
+      "size": "5.8GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama-pro:8b-instruct-q5_K_M",
+      "size": "5.9GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama-pro:8b-instruct-q6_K",
+      "size": "6.9GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama-pro:8b-instruct-q8_0",
+      "size": "8.9GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama-pro:8b-instruct-fp16",
+      "size": "17GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama-pro:8b-text-q2_K",
+      "size": "3.5GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama-pro:8b-text-q3_K_S",
+      "size": "3.6GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama-pro:8b-text-q3_K_M",
+      "size": "4.1GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama-pro:8b-text-q3_K_L",
+      "size": "4.5GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama-pro:8b-text-q4_0",
+      "size": "4.7GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama-pro:8b-text-q4_1",
+      "size": "5.3GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama-pro:8b-text-q4_K_S",
+      "size": "4.8GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama-pro:8b-text-q4_K_M",
+      "size": "5.1GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama-pro:8b-text-q5_0",
+      "size": "5.8GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama-pro:8b-text-q5_1",
+      "size": "6.3GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama-pro:8b-text-q5_K_S",
+      "size": "5.8GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama-pro:8b-text-q5_K_M",
+      "size": "5.9GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama-pro:8b-text-q6_K",
+      "size": "6.9GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama-pro:8b-text-q8_0",
+      "size": "8.9GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama-pro:8b-text-fp16",
+      "size": "17GB",
+      "context": "4K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/llama2-chinese.json b/data/models/llama2-chinese.json
new file mode 100644
index 0000000..b095182
--- /dev/null
+++ b/data/models/llama2-chinese.json
@@ -0,0 +1,26 @@
+{
+  "model": "llama2-chinese",
+  "url": "https://ollama.com/library/llama2-chinese",
+  "description": "Llama 2 based model fine tuned to improve Chinese dialogue ability.",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "llama2-chinese:latest",
+      "size": "3.8GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama2-chinese:7b",
+      "size": "3.8GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama2-chinese:13b",
+      "size": "7.4GB",
+      "context": "4K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/llama2-uncensored.json b/data/models/llama2-uncensored.json
new file mode 100644
index 0000000..30ebd41
--- /dev/null
+++ b/data/models/llama2-uncensored.json
@@ -0,0 +1,26 @@
+{
+  "model": "llama2-uncensored",
+  "url": "https://ollama.com/library/llama2-uncensored",
+  "description": "Uncensored Llama 2 model by George Sung and Jarrad Hope.",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "llama2-uncensored:latest",
+      "size": "3.8GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama2-uncensored:7b",
+      "size": "3.8GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama2-uncensored:70b",
+      "size": "39GB",
+      "context": "2K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/llama2.json b/data/models/llama2.json
new file mode 100644
index 0000000..bc8d130
--- /dev/null
+++ b/data/models/llama2.json
@@ -0,0 +1,32 @@
+{
+  "model": "llama2",
+  "url": "https://ollama.com/library/llama2",
+  "description": "Llama 2 is a collection of foundation language models ranging from 7B to 70B parameters.",
+  "variantsCount": 4,
+  "variants": [
+    {
+      "name": "llama2:latest",
+      "size": "3.8GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama2:7b",
+      "size": "3.8GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama2:13b",
+      "size": "7.4GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama2:70b",
+      "size": "39GB",
+      "context": "4K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/llama3-chatqa.json b/data/models/llama3-chatqa.json
new file mode 100644
index 0000000..ecf56f1
--- /dev/null
+++ b/data/models/llama3-chatqa.json
@@ -0,0 +1,26 @@
+{
+  "model": "llama3-chatqa",
+  "url": "https://ollama.com/library/llama3-chatqa",
+  "description": "A model from NVIDIA based on Llama 3 that excels at conversational question answering (QA) and retrieval-augmented generation (RAG).",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "llama3-chatqa:latest",
+      "size": "4.7GB",
+      "context": "8K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama3-chatqa:8b",
+      "size": "4.7GB",
+      "context": "8K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama3-chatqa:70b",
+      "size": "40GB",
+      "context": "8K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/llama3-gradient.json b/data/models/llama3-gradient.json
new file mode 100644
index 0000000..b7d5b8e
--- /dev/null
+++ b/data/models/llama3-gradient.json
@@ -0,0 +1,26 @@
+{
+  "model": "llama3-gradient",
+  "url": "https://ollama.com/library/llama3-gradient",
+  "description": "This model extends LLama-3 8B's context length from 8k to over 1m tokens.",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "llama3-gradient:latest",
+      "size": "4.7GB",
+      "context": "1M",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama3-gradient:8b",
+      "size": "4.7GB",
+      "context": "1M",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama3-gradient:70b",
+      "size": "40GB",
+      "context": "1M",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/llama3-groq-tool-use.json b/data/models/llama3-groq-tool-use.json
new file mode 100644
index 0000000..8f06c2e
--- /dev/null
+++ b/data/models/llama3-groq-tool-use.json
@@ -0,0 +1,26 @@
+{
+  "model": "llama3-groq-tool-use",
+  "url": "https://ollama.com/library/llama3-groq-tool-use",
+  "description": "A series of models from Groq that represent a significant advancement in open-source AI capabilities for tool use/function calling.",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "llama3-groq-tool-use:latest",
+      "size": "4.7GB",
+      "context": "8K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama3-groq-tool-use:8b",
+      "size": "4.7GB",
+      "context": "8K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama3-groq-tool-use:70b",
+      "size": "40GB",
+      "context": "8K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/llama3.1.json b/data/models/llama3.1.json
new file mode 100644
index 0000000..757b5a2
--- /dev/null
+++ b/data/models/llama3.1.json
@@ -0,0 +1,32 @@
+{
+  "model": "llama3.1",
+  "url": "https://ollama.com/library/llama3.1",
+  "description": "Llama 3.1 is a new state-of-the-art model from Meta available in 8B, 70B and 405B parameter sizes.",
+  "variantsCount": 4,
+  "variants": [
+    {
+      "name": "llama3.1:latest",
+      "size": "4.9GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama3.1:8b",
+      "size": "4.9GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama3.1:70b",
+      "size": "43GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama3.1:405b",
+      "size": "243GB",
+      "context": "128K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/llama3.2-vision.json b/data/models/llama3.2-vision.json
new file mode 100644
index 0000000..f9b8b05
--- /dev/null
+++ b/data/models/llama3.2-vision.json
@@ -0,0 +1,26 @@
+{
+  "model": "llama3.2-vision",
+  "url": "https://ollama.com/library/llama3.2-vision",
+  "description": "Llama 3.2 Vision is a collection of instruction-tuned image reasoning generative models in 11B and 90B sizes.",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "llama3.2-vision:latest",
+      "size": "7.8GB",
+      "context": "128K",
+      "inputType": "Text, Image"
+    },
+    {
+      "name": "llama3.2-vision:11b",
+      "size": "7.8GB",
+      "context": "128K",
+      "inputType": "Text, Image"
+    },
+    {
+      "name": "llama3.2-vision:90b",
+      "size": "55GB",
+      "context": "128K",
+      "inputType": "Text, Image"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/llama3.2.json b/data/models/llama3.2.json
new file mode 100644
index 0000000..986bfb3
--- /dev/null
+++ b/data/models/llama3.2.json
@@ -0,0 +1,26 @@
+{
+  "model": "llama3.2",
+  "url": "https://ollama.com/library/llama3.2",
+  "description": "Meta's Llama 3.2 goes small with 1B and 3B models. ",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "llama3.2:latest",
+      "size": "2.0GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama3.2:1b",
+      "size": "1.3GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama3.2:3b",
+      "size": "2.0GB",
+      "context": "128K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/llama3.3.json b/data/models/llama3.3.json
new file mode 100644
index 0000000..20436b8
--- /dev/null
+++ b/data/models/llama3.3.json
@@ -0,0 +1,20 @@
+{
+  "model": "llama3.3",
+  "url": "https://ollama.com/library/llama3.3",
+  "description": "New state of the art 70B model. Llama 3.3 70B offers similar performance compared to the Llama 3.1 405B model.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "llama3.3:latest",
+      "size": "43GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama3.3:70b",
+      "size": "43GB",
+      "context": "128K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/llama3.json b/data/models/llama3.json
new file mode 100644
index 0000000..177c943
--- /dev/null
+++ b/data/models/llama3.json
@@ -0,0 +1,26 @@
+{
+  "model": "llama3",
+  "url": "https://ollama.com/library/llama3",
+  "description": "Meta Llama 3: The most capable openly available LLM to date",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "llama3:latest",
+      "size": "4.7GB",
+      "context": "8K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama3:8b",
+      "size": "4.7GB",
+      "context": "8K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llama3:70b",
+      "size": "40GB",
+      "context": "8K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/llama4.json b/data/models/llama4.json
new file mode 100644
index 0000000..e22c2fd
--- /dev/null
+++ b/data/models/llama4.json
@@ -0,0 +1,26 @@
+{
+  "model": "llama4",
+  "url": "https://ollama.com/library/llama4",
+  "description": "Meta's latest collection of multimodal models.",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "llama4:latest",
+      "size": "67GB",
+      "context": "10M",
+      "inputType": "Text, Image"
+    },
+    {
+      "name": "llama4:16x17b",
+      "size": "67GB",
+      "context": "10M",
+      "inputType": "Text, Image"
+    },
+    {
+      "name": "llama4:128x17b",
+      "size": "245GB",
+      "context": "1M",
+      "inputType": "Text, Image"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/llava-llama3.json b/data/models/llava-llama3.json
new file mode 100644
index 0000000..f3aabbb
--- /dev/null
+++ b/data/models/llava-llama3.json
@@ -0,0 +1,20 @@
+{
+  "model": "llava-llama3",
+  "url": "https://ollama.com/library/llava-llama3",
+  "description": "A LLaVA model fine-tuned from Llama 3 Instruct with better scores in several benchmarks.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "llava-llama3:latest",
+      "size": "5.5GB",
+      "context": "8K",
+      "inputType": "Text, Image"
+    },
+    {
+      "name": "llava-llama3:8b",
+      "size": "5.5GB",
+      "context": "8K",
+      "inputType": "Text, Image"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/llava-phi3.json b/data/models/llava-phi3.json
new file mode 100644
index 0000000..6834765
--- /dev/null
+++ b/data/models/llava-phi3.json
@@ -0,0 +1,20 @@
+{
+  "model": "llava-phi3",
+  "url": "https://ollama.com/library/llava-phi3",
+  "description": "A new small LLaVA model fine-tuned from Phi 3 Mini.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "llava-phi3:latest",
+      "size": "2.9GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "llava-phi3:3.8b",
+      "size": "2.9GB",
+      "context": "4K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/llava.json b/data/models/llava.json
new file mode 100644
index 0000000..a765776
--- /dev/null
+++ b/data/models/llava.json
@@ -0,0 +1,32 @@
+{
+  "model": "llava",
+  "url": "https://ollama.com/library/llava",
+  "description": "🌋 LLaVA is a novel end-to-end trained large multimodal model that combines a vision encoder and Vicuna for general-purpose visual and language understanding. Updated to version 1.6.",
+  "variantsCount": 4,
+  "variants": [
+    {
+      "name": "llava:latest",
+      "size": "4.7GB",
+      "context": "32K",
+      "inputType": "Text, Image"
+    },
+    {
+      "name": "llava:7b",
+      "size": "4.7GB",
+      "context": "32K",
+      "inputType": "Text, Image"
+    },
+    {
+      "name": "llava:13b",
+      "size": "8.0GB",
+      "context": "4K",
+      "inputType": "Text, Image"
+    },
+    {
+      "name": "llava:34b",
+      "size": "20GB",
+      "context": "4K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/magicoder.json b/data/models/magicoder.json
new file mode 100644
index 0000000..05b4988
--- /dev/null
+++ b/data/models/magicoder.json
@@ -0,0 +1,20 @@
+{
+  "model": "magicoder",
+  "url": "https://ollama.com/library/magicoder",
+  "description": "🎩 Magicoder is a family of 7B parameter models trained on 75K synthetic instruction data using OSS-Instruct, a novel approach to enlightening LLMs with open-source code snippets.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "magicoder:latest",
+      "size": "3.8GB",
+      "context": "16K",
+      "inputType": "Text"
+    },
+    {
+      "name": "magicoder:7b",
+      "size": "3.8GB",
+      "context": "16K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/magistral.json b/data/models/magistral.json
new file mode 100644
index 0000000..c95d410
--- /dev/null
+++ b/data/models/magistral.json
@@ -0,0 +1,20 @@
+{
+  "model": "magistral",
+  "url": "https://ollama.com/library/magistral",
+  "description": "Magistral is a small, efficient reasoning model with 24B parameters.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "magistral:latest",
+      "size": "14GB",
+      "context": "39K",
+      "inputType": "Text"
+    },
+    {
+      "name": "magistral:24b",
+      "size": "14GB",
+      "context": "39K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/marco-o1.json b/data/models/marco-o1.json
new file mode 100644
index 0000000..51da2f4
--- /dev/null
+++ b/data/models/marco-o1.json
@@ -0,0 +1,20 @@
+{
+  "model": "marco-o1",
+  "url": "https://ollama.com/library/marco-o1",
+  "description": "An open large reasoning model for real-world solutions by the Alibaba International Digital Commerce Group (AIDC-AI).",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "marco-o1:latest",
+      "size": "4.7GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "marco-o1:7b",
+      "size": "4.7GB",
+      "context": "32K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/mathstral.json b/data/models/mathstral.json
new file mode 100644
index 0000000..006adf8
--- /dev/null
+++ b/data/models/mathstral.json
@@ -0,0 +1,20 @@
+{
+  "model": "mathstral",
+  "url": "https://ollama.com/library/mathstral",
+  "description": "MathΣtral: a 7B model designed for math reasoning and scientific discovery by Mistral AI.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "mathstral:latest",
+      "size": "4.1GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "mathstral:7b",
+      "size": "4.1GB",
+      "context": "32K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/meditron.json b/data/models/meditron.json
new file mode 100644
index 0000000..25203a9
--- /dev/null
+++ b/data/models/meditron.json
@@ -0,0 +1,26 @@
+{
+  "model": "meditron",
+  "url": "https://ollama.com/library/meditron",
+  "description": "Open-source medical large language model adapted from Llama 2 to the medical domain.",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "meditron:latest",
+      "size": "3.8GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "meditron:7b",
+      "size": "3.8GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "meditron:70b",
+      "size": "39GB",
+      "context": "4K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/medllama2.json b/data/models/medllama2.json
new file mode 100644
index 0000000..40ce039
--- /dev/null
+++ b/data/models/medllama2.json
@@ -0,0 +1,20 @@
+{
+  "model": "medllama2",
+  "url": "https://ollama.com/library/medllama2",
+  "description": "Fine-tuned Llama 2 model to answer medical questions based on an open source medical dataset. ",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "medllama2:latest",
+      "size": "3.8GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "medllama2:7b",
+      "size": "3.8GB",
+      "context": "4K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/megadolphin.json b/data/models/megadolphin.json
new file mode 100644
index 0000000..0367341
--- /dev/null
+++ b/data/models/megadolphin.json
@@ -0,0 +1,20 @@
+{
+  "model": "megadolphin",
+  "url": "https://ollama.com/library/megadolphin",
+  "description": "MegaDolphin-2.2-120b is a transformation of Dolphin-2.2-70b created by interleaving the model with itself.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "megadolphin:latest",
+      "size": "68GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "megadolphin:120b",
+      "size": "68GB",
+      "context": "4K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/minicpm-v.json b/data/models/minicpm-v.json
new file mode 100644
index 0000000..16acdc9
--- /dev/null
+++ b/data/models/minicpm-v.json
@@ -0,0 +1,20 @@
+{
+  "model": "minicpm-v",
+  "url": "https://ollama.com/library/minicpm-v",
+  "description": "A series of multimodal LLMs (MLLMs) designed for vision-language understanding.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "minicpm-v:latest",
+      "size": "5.5GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "minicpm-v:8b",
+      "size": "5.5GB",
+      "context": "32K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/minimax-m2.json b/data/models/minimax-m2.json
new file mode 100644
index 0000000..da46b3a
--- /dev/null
+++ b/data/models/minimax-m2.json
@@ -0,0 +1,14 @@
+{
+  "model": "minimax-m2",
+  "url": "https://ollama.com/library/minimax-m2",
+  "description": "MiniMax M2 is a high-efficiency large language model built for coding and agentic workflows.",
+  "variantsCount": 1,
+  "variants": [
+    {
+      "name": "minimax-m2:cloud",
+      "size": "-",
+      "context": "200K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/mistral-large.json b/data/models/mistral-large.json
new file mode 100644
index 0000000..2ad9de1
--- /dev/null
+++ b/data/models/mistral-large.json
@@ -0,0 +1,20 @@
+{
+  "model": "mistral-large",
+  "url": "https://ollama.com/library/mistral-large",
+  "description": "Mistral Large 2 is Mistral's new flagship model that is significantly more capable in code generation, mathematics, and reasoning with 128k context window and support for dozens of languages.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "mistral-large:latest",
+      "size": "73GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "mistral-large:123b",
+      "size": "73GB",
+      "context": "128K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/mistral-nemo.json b/data/models/mistral-nemo.json
new file mode 100644
index 0000000..bc36fbf
--- /dev/null
+++ b/data/models/mistral-nemo.json
@@ -0,0 +1,20 @@
+{
+  "model": "mistral-nemo",
+  "url": "https://ollama.com/library/mistral-nemo",
+  "description": "A state-of-the-art 12B model with 128k context length, built by Mistral AI in collaboration with NVIDIA.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "mistral-nemo:latest",
+      "size": "7.1GB",
+      "context": "1000K",
+      "inputType": "Text"
+    },
+    {
+      "name": "mistral-nemo:12b",
+      "size": "7.1GB",
+      "context": "1000K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/mistral-openorca.json b/data/models/mistral-openorca.json
new file mode 100644
index 0000000..5b7f10f
--- /dev/null
+++ b/data/models/mistral-openorca.json
@@ -0,0 +1,20 @@
+{
+  "model": "mistral-openorca",
+  "url": "https://ollama.com/library/mistral-openorca",
+  "description": "Mistral OpenOrca is a 7 billion parameter model, fine-tuned on top of the Mistral 7B model using the OpenOrca dataset.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "mistral-openorca:latest",
+      "size": "4.1GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "mistral-openorca:7b",
+      "size": "4.1GB",
+      "context": "32K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/mistral-small.json b/data/models/mistral-small.json
new file mode 100644
index 0000000..84e19aa
--- /dev/null
+++ b/data/models/mistral-small.json
@@ -0,0 +1,26 @@
+{
+  "model": "mistral-small",
+  "url": "https://ollama.com/library/mistral-small",
+  "description": "Mistral Small 3 sets a new benchmark in the “small” Large Language Models category below 70B.",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "mistral-small:latest",
+      "size": "14GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "mistral-small:22b",
+      "size": "13GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "mistral-small:24b",
+      "size": "14GB",
+      "context": "32K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/mistral-small3.1.json b/data/models/mistral-small3.1.json
new file mode 100644
index 0000000..38885e3
--- /dev/null
+++ b/data/models/mistral-small3.1.json
@@ -0,0 +1,20 @@
+{
+  "model": "mistral-small3.1",
+  "url": "https://ollama.com/library/mistral-small3.1",
+  "description": "Building upon Mistral Small 3, Mistral Small 3.1 (2503) adds state-of-the-art vision understanding and enhances long context capabilities up to 128k tokens without compromising text performance.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "mistral-small3.1:latest",
+      "size": "15GB",
+      "context": "128K",
+      "inputType": "Text, Image"
+    },
+    {
+      "name": "mistral-small3.1:24b",
+      "size": "15GB",
+      "context": "128K",
+      "inputType": "Text, Image"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/mistral-small3.2.json b/data/models/mistral-small3.2.json
new file mode 100644
index 0000000..7fde9a6
--- /dev/null
+++ b/data/models/mistral-small3.2.json
@@ -0,0 +1,20 @@
+{
+  "model": "mistral-small3.2",
+  "url": "https://ollama.com/library/mistral-small3.2",
+  "description": "An update to Mistral Small that improves on function calling, instruction following, and less repetition errors.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "mistral-small3.2:latest",
+      "size": "15GB",
+      "context": "128K",
+      "inputType": "Text, Image"
+    },
+    {
+      "name": "mistral-small3.2:24b",
+      "size": "15GB",
+      "context": "128K",
+      "inputType": "Text, Image"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/mistral.json b/data/models/mistral.json
new file mode 100644
index 0000000..acb03ec
--- /dev/null
+++ b/data/models/mistral.json
@@ -0,0 +1,20 @@
+{
+  "model": "mistral",
+  "url": "https://ollama.com/library/mistral",
+  "description": "The 7B model released by Mistral AI, updated to version 0.3.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "mistral:latest",
+      "size": "4.4GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "mistral:7b",
+      "size": "4.4GB",
+      "context": "32K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/mistrallite.json b/data/models/mistrallite.json
new file mode 100644
index 0000000..9400dec
--- /dev/null
+++ b/data/models/mistrallite.json
@@ -0,0 +1,20 @@
+{
+  "model": "mistrallite",
+  "url": "https://ollama.com/library/mistrallite",
+  "description": "MistralLite is a fine-tuned model based on Mistral with enhanced capabilities of processing long contexts.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "mistrallite:latest",
+      "size": "4.1GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "mistrallite:7b",
+      "size": "4.1GB",
+      "context": "32K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/mixtral.json b/data/models/mixtral.json
new file mode 100644
index 0000000..a8d61a0
--- /dev/null
+++ b/data/models/mixtral.json
@@ -0,0 +1,26 @@
+{
+  "model": "mixtral",
+  "url": "https://ollama.com/library/mixtral",
+  "description": "A set of Mixture of Experts (MoE) model with open weights by Mistral AI in 8x7b and 8x22b parameter sizes.",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "mixtral:latest",
+      "size": "26GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "mixtral:8x7b",
+      "size": "26GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "mixtral:8x22b",
+      "size": "80GB",
+      "context": "64K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/moondream.json b/data/models/moondream.json
new file mode 100644
index 0000000..8daacd9
--- /dev/null
+++ b/data/models/moondream.json
@@ -0,0 +1,20 @@
+{
+  "model": "moondream",
+  "url": "https://ollama.com/library/moondream",
+  "description": "moondream2 is a small vision language model designed to run efficiently on edge devices.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "moondream:latest",
+      "size": "1.7GB",
+      "context": "2K",
+      "inputType": "Text, Image"
+    },
+    {
+      "name": "moondream:1.8b",
+      "size": "1.7GB",
+      "context": "2K",
+      "inputType": "Text, Image"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/mxbai-embed-large.json b/data/models/mxbai-embed-large.json
new file mode 100644
index 0000000..865f4c8
--- /dev/null
+++ b/data/models/mxbai-embed-large.json
@@ -0,0 +1,20 @@
+{
+  "model": "mxbai-embed-large",
+  "url": "https://ollama.com/library/mxbai-embed-large",
+  "description": "State-of-the-art large embedding model from mixedbread.ai",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "mxbai-embed-large:latest",
+      "size": "670MB",
+      "context": "512",
+      "inputType": "Text"
+    },
+    {
+      "name": "mxbai-embed-large:335m",
+      "size": "670MB",
+      "context": "512",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/nemotron-mini.json b/data/models/nemotron-mini.json
new file mode 100644
index 0000000..5895804
--- /dev/null
+++ b/data/models/nemotron-mini.json
@@ -0,0 +1,20 @@
+{
+  "model": "nemotron-mini",
+  "url": "https://ollama.com/library/nemotron-mini",
+  "description": "A commercial-friendly small language model by NVIDIA optimized for roleplay, RAG QA, and function calling.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "nemotron-mini:latest",
+      "size": "2.7GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "nemotron-mini:4b",
+      "size": "2.7GB",
+      "context": "4K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/nemotron.json b/data/models/nemotron.json
new file mode 100644
index 0000000..3eb6028
--- /dev/null
+++ b/data/models/nemotron.json
@@ -0,0 +1,20 @@
+{
+  "model": "nemotron",
+  "url": "https://ollama.com/library/nemotron",
+  "description": "Llama-3.1-Nemotron-70B-Instruct is a large language model customized by NVIDIA to improve the helpfulness of LLM generated responses to user queries.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "nemotron:latest",
+      "size": "43GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "nemotron:70b",
+      "size": "43GB",
+      "context": "128K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/neural-chat.json b/data/models/neural-chat.json
new file mode 100644
index 0000000..982c73b
--- /dev/null
+++ b/data/models/neural-chat.json
@@ -0,0 +1,20 @@
+{
+  "model": "neural-chat",
+  "url": "https://ollama.com/library/neural-chat",
+  "description": "A fine-tuned model based on Mistral with good coverage of domain and language.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "neural-chat:latest",
+      "size": "4.1GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "neural-chat:7b",
+      "size": "4.1GB",
+      "context": "32K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/nexusraven.json b/data/models/nexusraven.json
new file mode 100644
index 0000000..dcc8faf
--- /dev/null
+++ b/data/models/nexusraven.json
@@ -0,0 +1,20 @@
+{
+  "model": "nexusraven",
+  "url": "https://ollama.com/library/nexusraven",
+  "description": "Nexus Raven is a 13B instruction tuned model for function calling tasks. ",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "nexusraven:latest",
+      "size": "7.4GB",
+      "context": "16K",
+      "inputType": "Text"
+    },
+    {
+      "name": "nexusraven:13b",
+      "size": "7.4GB",
+      "context": "16K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/nomic-embed-text.json b/data/models/nomic-embed-text.json
new file mode 100644
index 0000000..928a6af
--- /dev/null
+++ b/data/models/nomic-embed-text.json
@@ -0,0 +1,26 @@
+{
+  "model": "nomic-embed-text",
+  "url": "https://ollama.com/library/nomic-embed-text",
+  "description": "A high-performing open embedding model with a large token context window.",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "nomic-embed-text:latest",
+      "size": "274MB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "nomic-embed-text:v1.5",
+      "size": "274MB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "nomic-embed-text:137m-v1.5-fp16",
+      "size": "274MB",
+      "context": "2K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/notus.json b/data/models/notus.json
new file mode 100644
index 0000000..66a74c3
--- /dev/null
+++ b/data/models/notus.json
@@ -0,0 +1,20 @@
+{
+  "model": "notus",
+  "url": "https://ollama.com/library/notus",
+  "description": "A 7B chat model fine-tuned with high-quality data and based on Zephyr.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "notus:latest",
+      "size": "4.1GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "notus:7b",
+      "size": "4.1GB",
+      "context": "32K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/notux.json b/data/models/notux.json
new file mode 100644
index 0000000..508fd3a
--- /dev/null
+++ b/data/models/notux.json
@@ -0,0 +1,20 @@
+{
+  "model": "notux",
+  "url": "https://ollama.com/library/notux",
+  "description": "A top-performing mixture of experts model, fine-tuned with high-quality data.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "notux:latest",
+      "size": "26GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "notux:8x7b",
+      "size": "26GB",
+      "context": "32K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/nous-hermes.json b/data/models/nous-hermes.json
new file mode 100644
index 0000000..cd1fb08
--- /dev/null
+++ b/data/models/nous-hermes.json
@@ -0,0 +1,26 @@
+{
+  "model": "nous-hermes",
+  "url": "https://ollama.com/library/nous-hermes",
+  "description": "General use models based on Llama and Llama 2 from Nous Research.",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "nous-hermes:latest",
+      "size": "3.8GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "nous-hermes:7b",
+      "size": "3.8GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "nous-hermes:13b",
+      "size": "7.4GB",
+      "context": "4K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/nous-hermes2-mixtral.json b/data/models/nous-hermes2-mixtral.json
new file mode 100644
index 0000000..2bcf31e
--- /dev/null
+++ b/data/models/nous-hermes2-mixtral.json
@@ -0,0 +1,20 @@
+{
+  "model": "nous-hermes2-mixtral",
+  "url": "https://ollama.com/library/nous-hermes2-mixtral",
+  "description": "The Nous Hermes 2 model from Nous Research, now trained over Mixtral.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "nous-hermes2-mixtral:latest",
+      "size": "26GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "nous-hermes2-mixtral:8x7b",
+      "size": "26GB",
+      "context": "32K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/nous-hermes2.json b/data/models/nous-hermes2.json
new file mode 100644
index 0000000..e275fa4
--- /dev/null
+++ b/data/models/nous-hermes2.json
@@ -0,0 +1,26 @@
+{
+  "model": "nous-hermes2",
+  "url": "https://ollama.com/library/nous-hermes2",
+  "description": "The powerful family of models by Nous Research that excels at scientific discussion and coding tasks.",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "nous-hermes2:latest",
+      "size": "6.1GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "nous-hermes2:10.7b",
+      "size": "6.1GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "nous-hermes2:34b",
+      "size": "19GB",
+      "context": "4K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/nuextract.json b/data/models/nuextract.json
new file mode 100644
index 0000000..f9f4873
--- /dev/null
+++ b/data/models/nuextract.json
@@ -0,0 +1,20 @@
+{
+  "model": "nuextract",
+  "url": "https://ollama.com/library/nuextract",
+  "description": "A 3.8B model fine-tuned on a private high-quality synthetic dataset for information extraction, based on Phi-3.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "nuextract:latest",
+      "size": "2.2GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "nuextract:3.8b",
+      "size": "2.2GB",
+      "context": "4K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/olmo2.json b/data/models/olmo2.json
new file mode 100644
index 0000000..848f153
--- /dev/null
+++ b/data/models/olmo2.json
@@ -0,0 +1,26 @@
+{
+  "model": "olmo2",
+  "url": "https://ollama.com/library/olmo2",
+  "description": "OLMo 2 is a new family of 7B and 13B models trained on up to 5T tokens. These models are on par with or better than equivalently sized fully open models, and competitive with open-weight models such as Llama 3.1 on English academic benchmarks.",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "olmo2:latest",
+      "size": "4.5GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "olmo2:7b",
+      "size": "4.5GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "olmo2:13b",
+      "size": "8.4GB",
+      "context": "4K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/open-orca-platypus2.json b/data/models/open-orca-platypus2.json
new file mode 100644
index 0000000..0003b3b
--- /dev/null
+++ b/data/models/open-orca-platypus2.json
@@ -0,0 +1,20 @@
+{
+  "model": "open-orca-platypus2",
+  "url": "https://ollama.com/library/open-orca-platypus2",
+  "description": "Merge of the Open Orca OpenChat model and the Garage-bAInd Platypus 2 model. Designed for chat and code generation.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "open-orca-platypus2:latest",
+      "size": "7.4GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "open-orca-platypus2:13b",
+      "size": "7.4GB",
+      "context": "4K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/openchat.json b/data/models/openchat.json
new file mode 100644
index 0000000..6741d2e
--- /dev/null
+++ b/data/models/openchat.json
@@ -0,0 +1,20 @@
+{
+  "model": "openchat",
+  "url": "https://ollama.com/library/openchat",
+  "description": "A family of open-source models trained on a wide variety of data, surpassing ChatGPT on various benchmarks. Updated to version 3.5-0106.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "openchat:latest",
+      "size": "4.1GB",
+      "context": "8K",
+      "inputType": "Text"
+    },
+    {
+      "name": "openchat:7b",
+      "size": "4.1GB",
+      "context": "8K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/opencoder.json b/data/models/opencoder.json
new file mode 100644
index 0000000..4ad989d
--- /dev/null
+++ b/data/models/opencoder.json
@@ -0,0 +1,26 @@
+{
+  "model": "opencoder",
+  "url": "https://ollama.com/library/opencoder",
+  "description": "OpenCoder is an open and reproducible code LLM family which includes 1.5B and 8B models, supporting chat in English and Chinese languages.",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "opencoder:latest",
+      "size": "4.7GB",
+      "context": "8K",
+      "inputType": "Text"
+    },
+    {
+      "name": "opencoder:1.5b",
+      "size": "1.4GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "opencoder:8b",
+      "size": "4.7GB",
+      "context": "8K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/openhermes.json b/data/models/openhermes.json
new file mode 100644
index 0000000..082f0af
--- /dev/null
+++ b/data/models/openhermes.json
@@ -0,0 +1,218 @@
+{
+  "model": "openhermes",
+  "url": "https://ollama.com/library/openhermes",
+  "description": "OpenHermes 2.5 is a 7B model fine-tuned by Teknium on Mistral with fully open datasets.",
+  "variantsCount": 35,
+  "variants": [
+    {
+      "name": "openhermes:latest",
+      "size": "4.1GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "openhermes:v2",
+      "size": "4.1GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "openhermes:v2.5",
+      "size": "4.1GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "openhermes:7b-mistral-v2-q2_K",
+      "size": "3.1GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "openhermes:7b-mistral-v2-q3_K_S",
+      "size": "3.2GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "openhermes:7b-mistral-v2-q3_K_M",
+      "size": "3.5GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "openhermes:7b-mistral-v2-q3_K_L",
+      "size": "3.8GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "openhermes:7b-mistral-v2-q4_0",
+      "size": "4.1GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "openhermes:7b-mistral-v2-q4_1",
+      "size": "4.6GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "openhermes:7b-mistral-v2-q4_K_S",
+      "size": "4.1GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "openhermes:7b-mistral-v2-q4_K_M",
+      "size": "4.4GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "openhermes:7b-mistral-v2-q5_0",
+      "size": "5.0GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "openhermes:7b-mistral-v2-q5_1",
+      "size": "5.4GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "openhermes:7b-mistral-v2-q5_K_S",
+      "size": "5.0GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "openhermes:7b-mistral-v2-q5_K_M",
+      "size": "5.1GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "openhermes:7b-mistral-v2-q6_K",
+      "size": "5.9GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "openhermes:7b-mistral-v2-q8_0",
+      "size": "7.7GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "openhermes:7b-mistral-v2-fp16",
+      "size": "14GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "openhermes:7b-mistral-v2.5-q2_K",
+      "size": "3.1GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "openhermes:7b-mistral-v2.5-q3_K_S",
+      "size": "3.2GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "openhermes:7b-mistral-v2.5-q3_K_M",
+      "size": "3.5GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "openhermes:7b-mistral-v2.5-q3_K_L",
+      "size": "3.8GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "openhermes:7b-mistral-v2.5-q4_0",
+      "size": "4.1GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "openhermes:7b-mistral-v2.5-q4_1",
+      "size": "4.6GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "openhermes:7b-mistral-v2.5-q4_K_S",
+      "size": "4.1GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "openhermes:7b-mistral-v2.5-q4_K_M",
+      "size": "4.4GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "openhermes:7b-mistral-v2.5-q5_0",
+      "size": "5.0GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "openhermes:7b-mistral-v2.5-q5_1",
+      "size": "5.4GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "openhermes:7b-mistral-v2.5-q5_K_S",
+      "size": "5.0GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "openhermes:7b-mistral-v2.5-q5_K_M",
+      "size": "5.1GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "openhermes:7b-mistral-v2.5-q6_K",
+      "size": "5.9GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "openhermes:7b-mistral-v2.5-q8_0",
+      "size": "7.7GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "openhermes:7b-mistral-v2.5-fp16",
+      "size": "14GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "openhermes:7b-v2",
+      "size": "4.1GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "openhermes:7b-v2.5",
+      "size": "4.1GB",
+      "context": "32K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/openthinker.json b/data/models/openthinker.json
new file mode 100644
index 0000000..45ab949
--- /dev/null
+++ b/data/models/openthinker.json
@@ -0,0 +1,26 @@
+{
+  "model": "openthinker",
+  "url": "https://ollama.com/library/openthinker",
+  "description": "A fully open-source family of reasoning models built using a dataset derived by distilling DeepSeek-R1.",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "openthinker:latest",
+      "size": "4.7GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "openthinker:7b",
+      "size": "4.7GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "openthinker:32b",
+      "size": "20GB",
+      "context": "32K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/orca-mini.json b/data/models/orca-mini.json
new file mode 100644
index 0000000..717bfda
--- /dev/null
+++ b/data/models/orca-mini.json
@@ -0,0 +1,38 @@
+{
+  "model": "orca-mini",
+  "url": "https://ollama.com/library/orca-mini",
+  "description": "A general-purpose model ranging from 3 billion parameters to 70 billion, suitable for entry-level hardware.",
+  "variantsCount": 5,
+  "variants": [
+    {
+      "name": "orca-mini:latest",
+      "size": "2.0GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "orca-mini:3b",
+      "size": "2.0GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "orca-mini:7b",
+      "size": "3.8GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "orca-mini:13b",
+      "size": "7.4GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "orca-mini:70b",
+      "size": "39GB",
+      "context": "4K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/orca2.json b/data/models/orca2.json
new file mode 100644
index 0000000..7db2f7e
--- /dev/null
+++ b/data/models/orca2.json
@@ -0,0 +1,26 @@
+{
+  "model": "orca2",
+  "url": "https://ollama.com/library/orca2",
+  "description": "Orca 2 is built by Microsoft research, and are a fine-tuned version of Meta's Llama 2 models.  The model is designed to excel particularly in reasoning.",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "orca2:latest",
+      "size": "3.8GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "orca2:7b",
+      "size": "3.8GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "orca2:13b",
+      "size": "7.4GB",
+      "context": "4K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/paraphrase-multilingual.json b/data/models/paraphrase-multilingual.json
new file mode 100644
index 0000000..997a2e5
--- /dev/null
+++ b/data/models/paraphrase-multilingual.json
@@ -0,0 +1,20 @@
+{
+  "model": "paraphrase-multilingual",
+  "url": "https://ollama.com/library/paraphrase-multilingual",
+  "description": "Sentence-transformers model that can be used for tasks like clustering or semantic search.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "paraphrase-multilingual:latest",
+      "size": "563MB",
+      "context": "512",
+      "inputType": "Text"
+    },
+    {
+      "name": "paraphrase-multilingual:278m",
+      "size": "563MB",
+      "context": "512",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/phi.json b/data/models/phi.json
new file mode 100644
index 0000000..489babf
--- /dev/null
+++ b/data/models/phi.json
@@ -0,0 +1,20 @@
+{
+  "model": "phi",
+  "url": "https://ollama.com/library/phi",
+  "description": "Phi-2: a 2.7B language model by Microsoft Research that demonstrates outstanding reasoning and language understanding capabilities.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "phi:latest",
+      "size": "1.6GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "phi:2.7b",
+      "size": "1.6GB",
+      "context": "2K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/phi3.5.json b/data/models/phi3.5.json
new file mode 100644
index 0000000..6140175
--- /dev/null
+++ b/data/models/phi3.5.json
@@ -0,0 +1,20 @@
+{
+  "model": "phi3.5",
+  "url": "https://ollama.com/library/phi3.5",
+  "description": "A lightweight AI model with 3.8 billion parameters with performance overtaking similarly and larger sized models.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "phi3.5:latest",
+      "size": "2.2GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "phi3.5:3.8b",
+      "size": "2.2GB",
+      "context": "4K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/phi3.json b/data/models/phi3.json
new file mode 100644
index 0000000..7223327
--- /dev/null
+++ b/data/models/phi3.json
@@ -0,0 +1,26 @@
+{
+  "model": "phi3",
+  "url": "https://ollama.com/library/phi3",
+  "description": "Phi-3 is a family of lightweight 3B (Mini) and 14B (Medium) state-of-the-art open models by Microsoft.",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "phi3:latest",
+      "size": "2.2GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "phi3:3.8b",
+      "size": "2.2GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "phi3:14b",
+      "size": "7.9GB",
+      "context": "128K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/phi4-mini-reasoning.json b/data/models/phi4-mini-reasoning.json
new file mode 100644
index 0000000..d0f3e8e
--- /dev/null
+++ b/data/models/phi4-mini-reasoning.json
@@ -0,0 +1,20 @@
+{
+  "model": "phi4-mini-reasoning",
+  "url": "https://ollama.com/library/phi4-mini-reasoning",
+  "description": "Phi 4 mini reasoning is a lightweight open model that balances efficiency with advanced reasoning ability.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "phi4-mini-reasoning:latest",
+      "size": "3.2GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "phi4-mini-reasoning:3.8b",
+      "size": "3.2GB",
+      "context": "128K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/phi4-mini.json b/data/models/phi4-mini.json
new file mode 100644
index 0000000..c1e01c0
--- /dev/null
+++ b/data/models/phi4-mini.json
@@ -0,0 +1,20 @@
+{
+  "model": "phi4-mini",
+  "url": "https://ollama.com/library/phi4-mini",
+  "description": "Phi-4-mini brings significant enhancements in multilingual support, reasoning, and mathematics, and now, the long-awaited function calling feature is finally supported.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "phi4-mini:latest",
+      "size": "2.5GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "phi4-mini:3.8b",
+      "size": "2.5GB",
+      "context": "128K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/phi4-reasoning.json b/data/models/phi4-reasoning.json
new file mode 100644
index 0000000..a962996
--- /dev/null
+++ b/data/models/phi4-reasoning.json
@@ -0,0 +1,20 @@
+{
+  "model": "phi4-reasoning",
+  "url": "https://ollama.com/library/phi4-reasoning",
+  "description": "Phi 4 reasoning and reasoning plus are 14-billion parameter open-weight reasoning models that rival much larger models on complex reasoning tasks. ",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "phi4-reasoning:latest",
+      "size": "11GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "phi4-reasoning:14b",
+      "size": "11GB",
+      "context": "32K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/phi4.json b/data/models/phi4.json
new file mode 100644
index 0000000..14a3d6d
--- /dev/null
+++ b/data/models/phi4.json
@@ -0,0 +1,20 @@
+{
+  "model": "phi4",
+  "url": "https://ollama.com/library/phi4",
+  "description": "Phi-4 is a 14B parameter, state-of-the-art open model from Microsoft.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "phi4:latest",
+      "size": "9.1GB",
+      "context": "16K",
+      "inputType": "Text"
+    },
+    {
+      "name": "phi4:14b",
+      "size": "9.1GB",
+      "context": "16K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/phind-codellama.json b/data/models/phind-codellama.json
new file mode 100644
index 0000000..d96bf9f
--- /dev/null
+++ b/data/models/phind-codellama.json
@@ -0,0 +1,20 @@
+{
+  "model": "phind-codellama",
+  "url": "https://ollama.com/library/phind-codellama",
+  "description": "Code generation model based on Code Llama.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "phind-codellama:latest",
+      "size": "19GB",
+      "context": "16K",
+      "inputType": "Text"
+    },
+    {
+      "name": "phind-codellama:34b",
+      "size": "19GB",
+      "context": "16K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/qwen.json b/data/models/qwen.json
new file mode 100644
index 0000000..8722f80
--- /dev/null
+++ b/data/models/qwen.json
@@ -0,0 +1,62 @@
+{
+  "model": "qwen",
+  "url": "https://ollama.com/library/qwen",
+  "description": "Qwen 1.5 is a series of large language models by Alibaba Cloud spanning from 0.5B to 110B parameters",
+  "variantsCount": 9,
+  "variants": [
+    {
+      "name": "qwen:latest",
+      "size": "2.3GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "qwen:0.5b",
+      "size": "395MB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "qwen:1.8b",
+      "size": "1.1GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "qwen:4b",
+      "size": "2.3GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "qwen:7b",
+      "size": "4.5GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "qwen:14b",
+      "size": "8.2GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "qwen:32b",
+      "size": "18GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "qwen:72b",
+      "size": "41GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "qwen:110b",
+      "size": "63GB",
+      "context": "32K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/qwen2-math.json b/data/models/qwen2-math.json
new file mode 100644
index 0000000..24192d7
--- /dev/null
+++ b/data/models/qwen2-math.json
@@ -0,0 +1,32 @@
+{
+  "model": "qwen2-math",
+  "url": "https://ollama.com/library/qwen2-math",
+  "description": "Qwen2 Math is a series of specialized math language models built upon the Qwen2 LLMs, which significantly outperforms the mathematical capabilities of open-source models and even closed-source models (e.g., GPT4o).",
+  "variantsCount": 4,
+  "variants": [
+    {
+      "name": "qwen2-math:latest",
+      "size": "4.4GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "qwen2-math:1.5b",
+      "size": "935MB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "qwen2-math:7b",
+      "size": "4.4GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "qwen2-math:72b",
+      "size": "41GB",
+      "context": "4K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/qwen2.5-coder.json b/data/models/qwen2.5-coder.json
new file mode 100644
index 0000000..5be5101
--- /dev/null
+++ b/data/models/qwen2.5-coder.json
@@ -0,0 +1,50 @@
+{
+  "model": "qwen2.5-coder",
+  "url": "https://ollama.com/library/qwen2.5-coder",
+  "description": "The latest series of Code-Specific Qwen models, with significant improvements in code generation, code reasoning, and code fixing.",
+  "variantsCount": 7,
+  "variants": [
+    {
+      "name": "qwen2.5-coder:latest",
+      "size": "4.7GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "qwen2.5-coder:0.5b",
+      "size": "398MB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "qwen2.5-coder:1.5b",
+      "size": "986MB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "qwen2.5-coder:3b",
+      "size": "1.9GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "qwen2.5-coder:7b",
+      "size": "4.7GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "qwen2.5-coder:14b",
+      "size": "9.0GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "qwen2.5-coder:32b",
+      "size": "20GB",
+      "context": "32K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/qwen2.5.json b/data/models/qwen2.5.json
new file mode 100644
index 0000000..d96c98f
--- /dev/null
+++ b/data/models/qwen2.5.json
@@ -0,0 +1,56 @@
+{
+  "model": "qwen2.5",
+  "url": "https://ollama.com/library/qwen2.5",
+  "description": "Qwen2.5 models are pretrained on Alibaba's latest large-scale dataset, encompassing up to 18 trillion tokens. The model supports up to 128K tokens and has multilingual support. ",
+  "variantsCount": 8,
+  "variants": [
+    {
+      "name": "qwen2.5:latest",
+      "size": "4.7GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "qwen2.5:0.5b",
+      "size": "398MB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "qwen2.5:1.5b",
+      "size": "986MB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "qwen2.5:3b",
+      "size": "1.9GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "qwen2.5:7b",
+      "size": "4.7GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "qwen2.5:14b",
+      "size": "9.0GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "qwen2.5:32b",
+      "size": "20GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "qwen2.5:72b",
+      "size": "47GB",
+      "context": "32K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/qwen2.5vl.json b/data/models/qwen2.5vl.json
new file mode 100644
index 0000000..90434d3
--- /dev/null
+++ b/data/models/qwen2.5vl.json
@@ -0,0 +1,38 @@
+{
+  "model": "qwen2.5vl",
+  "url": "https://ollama.com/library/qwen2.5vl",
+  "description": "Flagship vision-language model of Qwen and also a significant leap from the previous Qwen2-VL.",
+  "variantsCount": 5,
+  "variants": [
+    {
+      "name": "qwen2.5vl:latest",
+      "size": "6.0GB",
+      "context": "125K",
+      "inputType": "Text, Image"
+    },
+    {
+      "name": "qwen2.5vl:3b",
+      "size": "3.2GB",
+      "context": "125K",
+      "inputType": "Text, Image"
+    },
+    {
+      "name": "qwen2.5vl:7b",
+      "size": "6.0GB",
+      "context": "125K",
+      "inputType": "Text, Image"
+    },
+    {
+      "name": "qwen2.5vl:32b",
+      "size": "21GB",
+      "context": "125K",
+      "inputType": "Text, Image"
+    },
+    {
+      "name": "qwen2.5vl:72b",
+      "size": "49GB",
+      "context": "125K",
+      "inputType": "Text, Image"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/qwen2.json b/data/models/qwen2.json
new file mode 100644
index 0000000..c20ea23
--- /dev/null
+++ b/data/models/qwen2.json
@@ -0,0 +1,38 @@
+{
+  "model": "qwen2",
+  "url": "https://ollama.com/library/qwen2",
+  "description": "Qwen2 is a new series of large language models from Alibaba group",
+  "variantsCount": 5,
+  "variants": [
+    {
+      "name": "qwen2:latest",
+      "size": "4.4GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "qwen2:0.5b",
+      "size": "352MB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "qwen2:1.5b",
+      "size": "935MB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "qwen2:7b",
+      "size": "4.4GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "qwen2:72b",
+      "size": "41GB",
+      "context": "32K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/qwen3-coder.json b/data/models/qwen3-coder.json
new file mode 100644
index 0000000..d975ebd
--- /dev/null
+++ b/data/models/qwen3-coder.json
@@ -0,0 +1,32 @@
+{
+  "model": "qwen3-coder",
+  "url": "https://ollama.com/library/qwen3-coder",
+  "description": "Alibaba's performant long context models for agentic and coding tasks.",
+  "variantsCount": 4,
+  "variants": [
+    {
+      "name": "qwen3-coder:latest",
+      "size": "19GB",
+      "context": "256K",
+      "inputType": "Text"
+    },
+    {
+      "name": "qwen3-coder:30b",
+      "size": "19GB",
+      "context": "256K",
+      "inputType": "Text"
+    },
+    {
+      "name": "qwen3-coder:480b",
+      "size": "290GB",
+      "context": "256K",
+      "inputType": "Text"
+    },
+    {
+      "name": "qwen3-coder:480b-cloud",
+      "size": "-",
+      "context": "256K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/qwen3-embedding.json b/data/models/qwen3-embedding.json
new file mode 100644
index 0000000..aaf3304
--- /dev/null
+++ b/data/models/qwen3-embedding.json
@@ -0,0 +1,32 @@
+{
+  "model": "qwen3-embedding",
+  "url": "https://ollama.com/library/qwen3-embedding",
+  "description": "Building upon the foundational models of the Qwen3 series, Qwen3 Embedding provides a comprehensive range of text embeddings models in various sizes",
+  "variantsCount": 4,
+  "variants": [
+    {
+      "name": "qwen3-embedding:latest",
+      "size": "4.7GB",
+      "context": "40K",
+      "inputType": "Text"
+    },
+    {
+      "name": "qwen3-embedding:0.6b",
+      "size": "639MB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "qwen3-embedding:4b",
+      "size": "2.5GB",
+      "context": "40K",
+      "inputType": "Text"
+    },
+    {
+      "name": "qwen3-embedding:8b",
+      "size": "4.7GB",
+      "context": "40K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/qwen3-vl.json b/data/models/qwen3-vl.json
new file mode 100644
index 0000000..54fc9ac
--- /dev/null
+++ b/data/models/qwen3-vl.json
@@ -0,0 +1,62 @@
+{
+  "model": "qwen3-vl",
+  "url": "https://ollama.com/library/qwen3-vl",
+  "description": "The most powerful vision-language model in the Qwen model family to date. ",
+  "variantsCount": 9,
+  "variants": [
+    {
+      "name": "qwen3-vl:latest",
+      "size": "6.1GB",
+      "context": "256K",
+      "inputType": "Text, Image"
+    },
+    {
+      "name": "qwen3-vl:2b",
+      "size": "1.9GB",
+      "context": "256K",
+      "inputType": "Text, Image"
+    },
+    {
+      "name": "qwen3-vl:4b",
+      "size": "3.3GB",
+      "context": "256K",
+      "inputType": "Text, Image"
+    },
+    {
+      "name": "qwen3-vl:8b",
+      "size": "6.1GB",
+      "context": "256K",
+      "inputType": "Text, Image"
+    },
+    {
+      "name": "qwen3-vl:30b",
+      "size": "20GB",
+      "context": "256K",
+      "inputType": "Text, Image"
+    },
+    {
+      "name": "qwen3-vl:32b",
+      "size": "21GB",
+      "context": "256K",
+      "inputType": "Text, Image"
+    },
+    {
+      "name": "qwen3-vl:235b",
+      "size": "143GB",
+      "context": "256K",
+      "inputType": "Text, Image"
+    },
+    {
+      "name": "qwen3-vl:235b-cloud",
+      "size": "-",
+      "context": "256K",
+      "inputType": "Text"
+    },
+    {
+      "name": "qwen3-vl:235b-instruct-cloud",
+      "size": "-",
+      "context": "256K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/qwen3.json b/data/models/qwen3.json
new file mode 100644
index 0000000..eaeab46
--- /dev/null
+++ b/data/models/qwen3.json
@@ -0,0 +1,62 @@
+{
+  "model": "qwen3",
+  "url": "https://ollama.com/library/qwen3",
+  "description": "Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models.",
+  "variantsCount": 9,
+  "variants": [
+    {
+      "name": "qwen3:latest",
+      "size": "5.2GB",
+      "context": "40K",
+      "inputType": "Text"
+    },
+    {
+      "name": "qwen3:0.6b",
+      "size": "523MB",
+      "context": "40K",
+      "inputType": "Text"
+    },
+    {
+      "name": "qwen3:1.7b",
+      "size": "1.4GB",
+      "context": "40K",
+      "inputType": "Text"
+    },
+    {
+      "name": "qwen3:4b",
+      "size": "2.5GB",
+      "context": "256K",
+      "inputType": "Text"
+    },
+    {
+      "name": "qwen3:8b",
+      "size": "5.2GB",
+      "context": "40K",
+      "inputType": "Text"
+    },
+    {
+      "name": "qwen3:14b",
+      "size": "9.3GB",
+      "context": "40K",
+      "inputType": "Text"
+    },
+    {
+      "name": "qwen3:30b",
+      "size": "19GB",
+      "context": "256K",
+      "inputType": "Text"
+    },
+    {
+      "name": "qwen3:32b",
+      "size": "20GB",
+      "context": "40K",
+      "inputType": "Text"
+    },
+    {
+      "name": "qwen3:235b",
+      "size": "142GB",
+      "context": "256K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/qwq.json b/data/models/qwq.json
new file mode 100644
index 0000000..f36bf56
--- /dev/null
+++ b/data/models/qwq.json
@@ -0,0 +1,20 @@
+{
+  "model": "qwq",
+  "url": "https://ollama.com/library/qwq",
+  "description": "QwQ is the reasoning model of the Qwen series.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "qwq:latest",
+      "size": "20GB",
+      "context": "40K",
+      "inputType": "Text"
+    },
+    {
+      "name": "qwq:32b",
+      "size": "20GB",
+      "context": "40K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/r1-1776.json b/data/models/r1-1776.json
new file mode 100644
index 0000000..f758f63
--- /dev/null
+++ b/data/models/r1-1776.json
@@ -0,0 +1,26 @@
+{
+  "model": "r1-1776",
+  "url": "https://ollama.com/library/r1-1776",
+  "description": "A version of the DeepSeek-R1 model that has been post trained to provide unbiased, accurate, and factual information by Perplexity. ",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "r1-1776:latest",
+      "size": "43GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "r1-1776:70b",
+      "size": "43GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "r1-1776:671b",
+      "size": "404GB",
+      "context": "4K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/reader-lm.json b/data/models/reader-lm.json
new file mode 100644
index 0000000..116f84c
--- /dev/null
+++ b/data/models/reader-lm.json
@@ -0,0 +1,26 @@
+{
+  "model": "reader-lm",
+  "url": "https://ollama.com/library/reader-lm",
+  "description": "A series of models that convert HTML content to Markdown content, which is useful for content conversion tasks.",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "reader-lm:latest",
+      "size": "935MB",
+      "context": "250K",
+      "inputType": "Text"
+    },
+    {
+      "name": "reader-lm:0.5b",
+      "size": "352MB",
+      "context": "250K",
+      "inputType": "Text"
+    },
+    {
+      "name": "reader-lm:1.5b",
+      "size": "935MB",
+      "context": "250K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/reflection.json b/data/models/reflection.json
new file mode 100644
index 0000000..5f5d990
--- /dev/null
+++ b/data/models/reflection.json
@@ -0,0 +1,20 @@
+{
+  "model": "reflection",
+  "url": "https://ollama.com/library/reflection",
+  "description": "A high-performing model trained with a new technique called Reflection-tuning that teaches a LLM to detect mistakes in its reasoning and correct course.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "reflection:latest",
+      "size": "40GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "reflection:70b",
+      "size": "40GB",
+      "context": "128K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/sailor2.json b/data/models/sailor2.json
new file mode 100644
index 0000000..02bf22b
--- /dev/null
+++ b/data/models/sailor2.json
@@ -0,0 +1,32 @@
+{
+  "model": "sailor2",
+  "url": "https://ollama.com/library/sailor2",
+  "description": "Sailor2 are multilingual language models made for South-East Asia. Available in 1B, 8B, and 20B parameter sizes.",
+  "variantsCount": 4,
+  "variants": [
+    {
+      "name": "sailor2:latest",
+      "size": "5.2GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "sailor2:1b",
+      "size": "1.1GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "sailor2:8b",
+      "size": "5.2GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "sailor2:20b",
+      "size": "12GB",
+      "context": "32K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/samantha-mistral.json b/data/models/samantha-mistral.json
new file mode 100644
index 0000000..acff991
--- /dev/null
+++ b/data/models/samantha-mistral.json
@@ -0,0 +1,20 @@
+{
+  "model": "samantha-mistral",
+  "url": "https://ollama.com/library/samantha-mistral",
+  "description": "A companion assistant trained in philosophy, psychology, and personal relationships. Based on Mistral.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "samantha-mistral:latest",
+      "size": "4.1GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "samantha-mistral:7b",
+      "size": "4.1GB",
+      "context": "32K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/shieldgemma.json b/data/models/shieldgemma.json
new file mode 100644
index 0000000..32cd3f6
--- /dev/null
+++ b/data/models/shieldgemma.json
@@ -0,0 +1,32 @@
+{
+  "model": "shieldgemma",
+  "url": "https://ollama.com/library/shieldgemma",
+  "description": "ShieldGemma is set of instruction tuned models for evaluating the safety of text prompt input and text output responses against a set of defined safety policies.",
+  "variantsCount": 4,
+  "variants": [
+    {
+      "name": "shieldgemma:latest",
+      "size": "5.8GB",
+      "context": "8K",
+      "inputType": "Text"
+    },
+    {
+      "name": "shieldgemma:2b",
+      "size": "1.7GB",
+      "context": "8K",
+      "inputType": "Text"
+    },
+    {
+      "name": "shieldgemma:9b",
+      "size": "5.8GB",
+      "context": "8K",
+      "inputType": "Text"
+    },
+    {
+      "name": "shieldgemma:27b",
+      "size": "17GB",
+      "context": "8K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/smallthinker.json b/data/models/smallthinker.json
new file mode 100644
index 0000000..9dfa11c
--- /dev/null
+++ b/data/models/smallthinker.json
@@ -0,0 +1,20 @@
+{
+  "model": "smallthinker",
+  "url": "https://ollama.com/library/smallthinker",
+  "description": "A new small reasoning model fine-tuned from the Qwen 2.5 3B Instruct model.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "smallthinker:latest",
+      "size": "3.6GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "smallthinker:3b",
+      "size": "3.6GB",
+      "context": "32K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/smollm.json b/data/models/smollm.json
new file mode 100644
index 0000000..2b79084
--- /dev/null
+++ b/data/models/smollm.json
@@ -0,0 +1,32 @@
+{
+  "model": "smollm",
+  "url": "https://ollama.com/library/smollm",
+  "description": "🪐 A family of small models with 135M, 360M, and 1.7B parameters, trained on a new high-quality dataset.",
+  "variantsCount": 4,
+  "variants": [
+    {
+      "name": "smollm:latest",
+      "size": "991MB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "smollm:135m",
+      "size": "92MB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "smollm:360m",
+      "size": "229MB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "smollm:1.7b",
+      "size": "991MB",
+      "context": "2K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/smollm2.json b/data/models/smollm2.json
new file mode 100644
index 0000000..d4b88da
--- /dev/null
+++ b/data/models/smollm2.json
@@ -0,0 +1,32 @@
+{
+  "model": "smollm2",
+  "url": "https://ollama.com/library/smollm2",
+  "description": "SmolLM2 is a family of compact language models available in three size: 135M, 360M, and 1.7B parameters.",
+  "variantsCount": 4,
+  "variants": [
+    {
+      "name": "smollm2:latest",
+      "size": "1.8GB",
+      "context": "8K",
+      "inputType": "Text"
+    },
+    {
+      "name": "smollm2:135m",
+      "size": "271MB",
+      "context": "8K",
+      "inputType": "Text"
+    },
+    {
+      "name": "smollm2:360m",
+      "size": "726MB",
+      "context": "8K",
+      "inputType": "Text"
+    },
+    {
+      "name": "smollm2:1.7b",
+      "size": "1.8GB",
+      "context": "8K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/snowflake-arctic-embed.json b/data/models/snowflake-arctic-embed.json
new file mode 100644
index 0000000..7c98fa1
--- /dev/null
+++ b/data/models/snowflake-arctic-embed.json
@@ -0,0 +1,44 @@
+{
+  "model": "snowflake-arctic-embed",
+  "url": "https://ollama.com/library/snowflake-arctic-embed",
+  "description": "A suite of text embedding models by Snowflake, optimized for performance.",
+  "variantsCount": 6,
+  "variants": [
+    {
+      "name": "snowflake-arctic-embed:latest",
+      "size": "669MB",
+      "context": "512",
+      "inputType": "Text"
+    },
+    {
+      "name": "snowflake-arctic-embed:22m",
+      "size": "46MB",
+      "context": "512",
+      "inputType": "Text"
+    },
+    {
+      "name": "snowflake-arctic-embed:33m",
+      "size": "67MB",
+      "context": "512",
+      "inputType": "Text"
+    },
+    {
+      "name": "snowflake-arctic-embed:110m",
+      "size": "219MB",
+      "context": "512",
+      "inputType": "Text"
+    },
+    {
+      "name": "snowflake-arctic-embed:137m",
+      "size": "274MB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "snowflake-arctic-embed:335m",
+      "size": "669MB",
+      "context": "512",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/snowflake-arctic-embed2.json b/data/models/snowflake-arctic-embed2.json
new file mode 100644
index 0000000..5910ef1
--- /dev/null
+++ b/data/models/snowflake-arctic-embed2.json
@@ -0,0 +1,20 @@
+{
+  "model": "snowflake-arctic-embed2",
+  "url": "https://ollama.com/library/snowflake-arctic-embed2",
+  "description": "Snowflake's frontier embedding model. Arctic Embed 2.0 adds multilingual support without sacrificing English performance or scalability.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "snowflake-arctic-embed2:latest",
+      "size": "1.2GB",
+      "context": "8K",
+      "inputType": "Text"
+    },
+    {
+      "name": "snowflake-arctic-embed2:568m",
+      "size": "1.2GB",
+      "context": "8K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/solar-pro.json b/data/models/solar-pro.json
new file mode 100644
index 0000000..53b85e7
--- /dev/null
+++ b/data/models/solar-pro.json
@@ -0,0 +1,20 @@
+{
+  "model": "solar-pro",
+  "url": "https://ollama.com/library/solar-pro",
+  "description": "Solar Pro Preview: an advanced large language model (LLM) with 22 billion parameters designed to fit into a single GPU",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "solar-pro:latest",
+      "size": "13GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "solar-pro:22b",
+      "size": "13GB",
+      "context": "4K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/solar.json b/data/models/solar.json
new file mode 100644
index 0000000..48a715f
--- /dev/null
+++ b/data/models/solar.json
@@ -0,0 +1,20 @@
+{
+  "model": "solar",
+  "url": "https://ollama.com/library/solar",
+  "description": "A compact, yet powerful 10.7B large language model designed for single-turn conversation.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "solar:latest",
+      "size": "6.1GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "solar:10.7b",
+      "size": "6.1GB",
+      "context": "4K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/sqlcoder.json b/data/models/sqlcoder.json
new file mode 100644
index 0000000..514c5a6
--- /dev/null
+++ b/data/models/sqlcoder.json
@@ -0,0 +1,26 @@
+{
+  "model": "sqlcoder",
+  "url": "https://ollama.com/library/sqlcoder",
+  "description": "SQLCoder is a code completion model fined-tuned on StarCoder for SQL generation tasks",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "sqlcoder:latest",
+      "size": "4.1GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "sqlcoder:7b",
+      "size": "4.1GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "sqlcoder:15b",
+      "size": "9.0GB",
+      "context": "8K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/stable-beluga.json b/data/models/stable-beluga.json
new file mode 100644
index 0000000..318ad57
--- /dev/null
+++ b/data/models/stable-beluga.json
@@ -0,0 +1,32 @@
+{
+  "model": "stable-beluga",
+  "url": "https://ollama.com/library/stable-beluga",
+  "description": "Llama 2 based model fine tuned on an Orca-style dataset. Originally called Free Willy.",
+  "variantsCount": 4,
+  "variants": [
+    {
+      "name": "stable-beluga:latest",
+      "size": "3.8GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "stable-beluga:7b",
+      "size": "3.8GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "stable-beluga:13b",
+      "size": "7.4GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "stable-beluga:70b",
+      "size": "39GB",
+      "context": "4K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/stable-code.json b/data/models/stable-code.json
new file mode 100644
index 0000000..026aad8
--- /dev/null
+++ b/data/models/stable-code.json
@@ -0,0 +1,20 @@
+{
+  "model": "stable-code",
+  "url": "https://ollama.com/library/stable-code",
+  "description": "Stable Code 3B is a coding model with instruct and code completion variants on par with models such as Code Llama 7B that are 2.5x larger.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "stable-code:latest",
+      "size": "1.6GB",
+      "context": "16K",
+      "inputType": "Text"
+    },
+    {
+      "name": "stable-code:3b",
+      "size": "1.6GB",
+      "context": "16K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/stablelm-zephyr.json b/data/models/stablelm-zephyr.json
new file mode 100644
index 0000000..eddabb2
--- /dev/null
+++ b/data/models/stablelm-zephyr.json
@@ -0,0 +1,20 @@
+{
+  "model": "stablelm-zephyr",
+  "url": "https://ollama.com/library/stablelm-zephyr",
+  "description": "A lightweight chat model allowing accurate, and responsive output without requiring high-end hardware.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "stablelm-zephyr:latest",
+      "size": "1.6GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "stablelm-zephyr:3b",
+      "size": "1.6GB",
+      "context": "4K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/stablelm2.json b/data/models/stablelm2.json
new file mode 100644
index 0000000..0997fbd
--- /dev/null
+++ b/data/models/stablelm2.json
@@ -0,0 +1,26 @@
+{
+  "model": "stablelm2",
+  "url": "https://ollama.com/library/stablelm2",
+  "description": "Stable LM 2 is a state-of-the-art 1.6B and 12B parameter language model trained on multilingual data in English, Spanish, German, Italian, French, Portuguese, and Dutch.",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "stablelm2:latest",
+      "size": "983MB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "stablelm2:1.6b",
+      "size": "983MB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "stablelm2:12b",
+      "size": "7.0GB",
+      "context": "4K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/starcoder.json b/data/models/starcoder.json
new file mode 100644
index 0000000..c89ec2c
--- /dev/null
+++ b/data/models/starcoder.json
@@ -0,0 +1,38 @@
+{
+  "model": "starcoder",
+  "url": "https://ollama.com/library/starcoder",
+  "description": "StarCoder is a code generation model trained on 80+ programming languages.",
+  "variantsCount": 5,
+  "variants": [
+    {
+      "name": "starcoder:latest",
+      "size": "1.8GB",
+      "context": "8K",
+      "inputType": "Text"
+    },
+    {
+      "name": "starcoder:1b",
+      "size": "726MB",
+      "context": "8K",
+      "inputType": "Text"
+    },
+    {
+      "name": "starcoder:3b",
+      "size": "1.8GB",
+      "context": "8K",
+      "inputType": "Text"
+    },
+    {
+      "name": "starcoder:7b",
+      "size": "4.3GB",
+      "context": "8K",
+      "inputType": "Text"
+    },
+    {
+      "name": "starcoder:15b",
+      "size": "9.0GB",
+      "context": "8K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/starcoder2.json b/data/models/starcoder2.json
new file mode 100644
index 0000000..ac9058b
--- /dev/null
+++ b/data/models/starcoder2.json
@@ -0,0 +1,32 @@
+{
+  "model": "starcoder2",
+  "url": "https://ollama.com/library/starcoder2",
+  "description": "StarCoder2 is the next generation of transparently trained open code LLMs that comes in three sizes: 3B, 7B and 15B parameters. ",
+  "variantsCount": 4,
+  "variants": [
+    {
+      "name": "starcoder2:latest",
+      "size": "1.7GB",
+      "context": "16K",
+      "inputType": "Text"
+    },
+    {
+      "name": "starcoder2:3b",
+      "size": "1.7GB",
+      "context": "16K",
+      "inputType": "Text"
+    },
+    {
+      "name": "starcoder2:7b",
+      "size": "4.0GB",
+      "context": "16K",
+      "inputType": "Text"
+    },
+    {
+      "name": "starcoder2:15b",
+      "size": "9.1GB",
+      "context": "16K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/starling-lm.json b/data/models/starling-lm.json
new file mode 100644
index 0000000..c2492bc
--- /dev/null
+++ b/data/models/starling-lm.json
@@ -0,0 +1,20 @@
+{
+  "model": "starling-lm",
+  "url": "https://ollama.com/library/starling-lm",
+  "description": "Starling is a large language model trained by reinforcement learning from AI feedback focused on improving chatbot helpfulness.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "starling-lm:latest",
+      "size": "4.1GB",
+      "context": "8K",
+      "inputType": "Text"
+    },
+    {
+      "name": "starling-lm:7b",
+      "size": "4.1GB",
+      "context": "8K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/tinydolphin.json b/data/models/tinydolphin.json
new file mode 100644
index 0000000..9133c5e
--- /dev/null
+++ b/data/models/tinydolphin.json
@@ -0,0 +1,20 @@
+{
+  "model": "tinydolphin",
+  "url": "https://ollama.com/library/tinydolphin",
+  "description": "An experimental 1.1B parameter model trained on the new Dolphin 2.8 dataset by Eric Hartford and based on TinyLlama.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "tinydolphin:latest",
+      "size": "637MB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "tinydolphin:1.1b",
+      "size": "637MB",
+      "context": "4K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/tinyllama.json b/data/models/tinyllama.json
new file mode 100644
index 0000000..97eeffc
--- /dev/null
+++ b/data/models/tinyllama.json
@@ -0,0 +1,20 @@
+{
+  "model": "tinyllama",
+  "url": "https://ollama.com/library/tinyllama",
+  "description": "The TinyLlama project is an open endeavor to train a compact 1.1B Llama model on 3 trillion tokens.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "tinyllama:latest",
+      "size": "638MB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "tinyllama:1.1b",
+      "size": "638MB",
+      "context": "2K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/tulu3.json b/data/models/tulu3.json
new file mode 100644
index 0000000..ff5bedc
--- /dev/null
+++ b/data/models/tulu3.json
@@ -0,0 +1,26 @@
+{
+  "model": "tulu3",
+  "url": "https://ollama.com/library/tulu3",
+  "description": "Tülu 3 is a leading instruction following model family, offering fully open-source data, code, and recipes by the The Allen Institute for AI.",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "tulu3:latest",
+      "size": "4.9GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "tulu3:8b",
+      "size": "4.9GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "tulu3:70b",
+      "size": "43GB",
+      "context": "128K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/vicuna.json b/data/models/vicuna.json
new file mode 100644
index 0000000..18b0d7a
--- /dev/null
+++ b/data/models/vicuna.json
@@ -0,0 +1,32 @@
+{
+  "model": "vicuna",
+  "url": "https://ollama.com/library/vicuna",
+  "description": "General use chat model based on Llama and Llama 2 with 2K to 16K context sizes.",
+  "variantsCount": 4,
+  "variants": [
+    {
+      "name": "vicuna:latest",
+      "size": "3.8GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "vicuna:7b",
+      "size": "3.8GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "vicuna:13b",
+      "size": "7.4GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "vicuna:33b",
+      "size": "18GB",
+      "context": "2K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/wizard-math.json b/data/models/wizard-math.json
new file mode 100644
index 0000000..a2c6d4d
--- /dev/null
+++ b/data/models/wizard-math.json
@@ -0,0 +1,32 @@
+{
+  "model": "wizard-math",
+  "url": "https://ollama.com/library/wizard-math",
+  "description": "Model focused on math and logic problems",
+  "variantsCount": 4,
+  "variants": [
+    {
+      "name": "wizard-math:latest",
+      "size": "4.1GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizard-math:7b",
+      "size": "4.1GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizard-math:13b",
+      "size": "7.4GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizard-math:70b",
+      "size": "39GB",
+      "context": "2K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/wizard-vicuna-uncensored.json b/data/models/wizard-vicuna-uncensored.json
new file mode 100644
index 0000000..71b4ca9
--- /dev/null
+++ b/data/models/wizard-vicuna-uncensored.json
@@ -0,0 +1,32 @@
+{
+  "model": "wizard-vicuna-uncensored",
+  "url": "https://ollama.com/library/wizard-vicuna-uncensored",
+  "description": "Wizard Vicuna Uncensored is a 7B, 13B, and 30B parameter model based on Llama 2 uncensored by Eric Hartford.",
+  "variantsCount": 4,
+  "variants": [
+    {
+      "name": "wizard-vicuna-uncensored:latest",
+      "size": "3.8GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizard-vicuna-uncensored:7b",
+      "size": "3.8GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizard-vicuna-uncensored:13b",
+      "size": "7.4GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizard-vicuna-uncensored:30b",
+      "size": "18GB",
+      "context": "2K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/wizard-vicuna.json b/data/models/wizard-vicuna.json
new file mode 100644
index 0000000..f0b6c7e
--- /dev/null
+++ b/data/models/wizard-vicuna.json
@@ -0,0 +1,20 @@
+{
+  "model": "wizard-vicuna",
+  "url": "https://ollama.com/library/wizard-vicuna",
+  "description": "Wizard Vicuna is a 13B parameter model based on Llama 2 trained by MelodysDreamj.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "wizard-vicuna:latest",
+      "size": "7.4GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizard-vicuna:13b",
+      "size": "7.4GB",
+      "context": "2K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/wizardcoder.json b/data/models/wizardcoder.json
new file mode 100644
index 0000000..3f48613
--- /dev/null
+++ b/data/models/wizardcoder.json
@@ -0,0 +1,20 @@
+{
+  "model": "wizardcoder",
+  "url": "https://ollama.com/library/wizardcoder",
+  "description": "State-of-the-art code generation model",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "wizardcoder:latest",
+      "size": "3.8GB",
+      "context": "16K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardcoder:33b",
+      "size": "19GB",
+      "context": "16K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/wizardlm-uncensored.json b/data/models/wizardlm-uncensored.json
new file mode 100644
index 0000000..4ed1f16
--- /dev/null
+++ b/data/models/wizardlm-uncensored.json
@@ -0,0 +1,20 @@
+{
+  "model": "wizardlm-uncensored",
+  "url": "https://ollama.com/library/wizardlm-uncensored",
+  "description": "Uncensored version of Wizard LM model ",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "wizardlm-uncensored:latest",
+      "size": "7.4GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm-uncensored:13b",
+      "size": "7.4GB",
+      "context": "4K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/wizardlm.json b/data/models/wizardlm.json
new file mode 100644
index 0000000..c982b6f
--- /dev/null
+++ b/data/models/wizardlm.json
@@ -0,0 +1,446 @@
+{
+  "model": "wizardlm",
+  "url": "https://ollama.com/library/wizardlm",
+  "description": "General use model based on Llama 2.",
+  "variantsCount": 73,
+  "variants": [
+    {
+      "name": "wizardlm:7b-q2_K",
+      "size": "2.8GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:7b-q3_K_S",
+      "size": "2.9GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:7b-q3_K_M",
+      "size": "3.3GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:7b-q3_K_L",
+      "size": "3.6GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:7b-q4_0",
+      "size": "3.8GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:7b-q4_1",
+      "size": "4.2GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:7b-q4_K_S",
+      "size": "3.9GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:7b-q4_K_M",
+      "size": "4.1GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:7b-q5_0",
+      "size": "4.7GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:7b-q5_1",
+      "size": "5.1GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:7b-q5_K_S",
+      "size": "4.7GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:7b-q5_K_M",
+      "size": "4.8GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:7b-q6_K",
+      "size": "5.5GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:7b-q8_0",
+      "size": "7.2GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:7b-fp16",
+      "size": "13GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:13b-llama2-q2_K",
+      "size": "5.4GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:13b-llama2-q3_K_S",
+      "size": "5.7GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:13b-llama2-q3_K_M",
+      "size": "6.3GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:13b-llama2-q3_K_L",
+      "size": "6.9GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:13b-llama2-q4_0",
+      "size": "7.4GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:13b-llama2-q4_1",
+      "size": "8.2GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:13b-llama2-q4_K_S",
+      "size": "7.4GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:13b-llama2-q4_K_M",
+      "size": "7.9GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:13b-llama2-q5_0",
+      "size": "9.0GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:13b-llama2-q5_1",
+      "size": "9.8GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:13b-llama2-q5_K_S",
+      "size": "9.0GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:13b-llama2-q5_K_M",
+      "size": "9.2GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:13b-llama2-q6_K",
+      "size": "11GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:13b-llama2-q8_0",
+      "size": "14GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:13b-llama2-fp16",
+      "size": "26GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:13b-q2_K",
+      "size": "5.4GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:13b-q3_K_S",
+      "size": "5.7GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:13b-q3_K_M",
+      "size": "6.3GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:13b-q3_K_L",
+      "size": "6.9GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:13b-q4_0",
+      "size": "7.4GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:13b-q4_1",
+      "size": "8.2GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:13b-q4_K_S",
+      "size": "7.4GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:13b-q4_K_M",
+      "size": "7.9GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:13b-q5_0",
+      "size": "9.0GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:13b-q5_1",
+      "size": "9.8GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:13b-q5_K_S",
+      "size": "9.0GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:13b-q5_K_M",
+      "size": "9.2GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:13b-q6_K",
+      "size": "11GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:13b-q8_0",
+      "size": "14GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:13b-fp16",
+      "size": "26GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:30b-q2_K",
+      "size": "14GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:30b-q3_K_S",
+      "size": "14GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:30b-q3_K_M",
+      "size": "16GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:30b-q3_K_L",
+      "size": "17GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:30b-q4_0",
+      "size": "18GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:30b-q4_1",
+      "size": "20GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:30b-q4_K_S",
+      "size": "18GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:30b-q4_K_M",
+      "size": "20GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:30b-q5_0",
+      "size": "22GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:30b-q5_1",
+      "size": "24GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:30b-q5_K_S",
+      "size": "22GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:30b-q5_K_M",
+      "size": "23GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:30b-q6_K",
+      "size": "27GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:30b-q8_0",
+      "size": "35GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:30b-fp16",
+      "size": "65GB",
+      "context": "2K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:70b-llama2-q2_K",
+      "size": "29GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:70b-llama2-q3_K_S",
+      "size": "30GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:70b-llama2-q3_K_M",
+      "size": "33GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:70b-llama2-q3_K_L",
+      "size": "36GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:70b-llama2-q4_0",
+      "size": "39GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:70b-llama2-q4_1",
+      "size": "43GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:70b-llama2-q4_K_S",
+      "size": "39GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:70b-llama2-q4_K_M",
+      "size": "41GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:70b-llama2-q5_0",
+      "size": "47GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:70b-llama2-q5_K_S",
+      "size": "47GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:70b-llama2-q5_K_M",
+      "size": "49GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:70b-llama2-q6_K",
+      "size": "57GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm:70b-llama2-q8_0",
+      "size": "73GB",
+      "context": "4K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/wizardlm2.json b/data/models/wizardlm2.json
new file mode 100644
index 0000000..0f66ff3
--- /dev/null
+++ b/data/models/wizardlm2.json
@@ -0,0 +1,26 @@
+{
+  "model": "wizardlm2",
+  "url": "https://ollama.com/library/wizardlm2",
+  "description": "State of the art large language model from Microsoft AI with improved performance on complex chat, multilingual, reasoning and agent use cases.",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "wizardlm2:latest",
+      "size": "4.1GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm2:7b",
+      "size": "4.1GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "wizardlm2:8x22b",
+      "size": "80GB",
+      "context": "64K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/xwinlm.json b/data/models/xwinlm.json
new file mode 100644
index 0000000..274f916
--- /dev/null
+++ b/data/models/xwinlm.json
@@ -0,0 +1,26 @@
+{
+  "model": "xwinlm",
+  "url": "https://ollama.com/library/xwinlm",
+  "description": "Conversational model based on Llama 2 that performs competitively on various benchmarks.",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "xwinlm:latest",
+      "size": "3.8GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "xwinlm:7b",
+      "size": "3.8GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "xwinlm:13b",
+      "size": "7.4GB",
+      "context": "4K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/yarn-llama2.json b/data/models/yarn-llama2.json
new file mode 100644
index 0000000..d3ff64e
--- /dev/null
+++ b/data/models/yarn-llama2.json
@@ -0,0 +1,26 @@
+{
+  "model": "yarn-llama2",
+  "url": "https://ollama.com/library/yarn-llama2",
+  "description": "An extension of Llama 2 that supports a context of up to 128k tokens.",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "yarn-llama2:latest",
+      "size": "3.8GB",
+      "context": "64K",
+      "inputType": "Text"
+    },
+    {
+      "name": "yarn-llama2:7b",
+      "size": "3.8GB",
+      "context": "64K",
+      "inputType": "Text"
+    },
+    {
+      "name": "yarn-llama2:13b",
+      "size": "7.4GB",
+      "context": "64K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/yarn-mistral.json b/data/models/yarn-mistral.json
new file mode 100644
index 0000000..366c62f
--- /dev/null
+++ b/data/models/yarn-mistral.json
@@ -0,0 +1,20 @@
+{
+  "model": "yarn-mistral",
+  "url": "https://ollama.com/library/yarn-mistral",
+  "description": "An extension of Mistral to support context windows of 64K or 128K.",
+  "variantsCount": 2,
+  "variants": [
+    {
+      "name": "yarn-mistral:latest",
+      "size": "4.1GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "yarn-mistral:7b",
+      "size": "4.1GB",
+      "context": "32K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/yi-coder.json b/data/models/yi-coder.json
new file mode 100644
index 0000000..0f19c0d
--- /dev/null
+++ b/data/models/yi-coder.json
@@ -0,0 +1,26 @@
+{
+  "model": "yi-coder",
+  "url": "https://ollama.com/library/yi-coder",
+  "description": "Yi-Coder is a series of open-source code language models that delivers state-of-the-art coding performance with fewer than 10 billion parameters.",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "yi-coder:latest",
+      "size": "5.0GB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "yi-coder:1.5b",
+      "size": "866MB",
+      "context": "128K",
+      "inputType": "Text"
+    },
+    {
+      "name": "yi-coder:9b",
+      "size": "5.0GB",
+      "context": "128K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/yi.json b/data/models/yi.json
new file mode 100644
index 0000000..e5f645d
--- /dev/null
+++ b/data/models/yi.json
@@ -0,0 +1,32 @@
+{
+  "model": "yi",
+  "url": "https://ollama.com/library/yi",
+  "description": "Yi 1.5 is a high-performing, bilingual language model.",
+  "variantsCount": 4,
+  "variants": [
+    {
+      "name": "yi:latest",
+      "size": "3.5GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "yi:6b",
+      "size": "3.5GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "yi:9b",
+      "size": "5.0GB",
+      "context": "4K",
+      "inputType": "Text"
+    },
+    {
+      "name": "yi:34b",
+      "size": "19GB",
+      "context": "4K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/models/zephyr.json b/data/models/zephyr.json
new file mode 100644
index 0000000..a3c5757
--- /dev/null
+++ b/data/models/zephyr.json
@@ -0,0 +1,26 @@
+{
+  "model": "zephyr",
+  "url": "https://ollama.com/library/zephyr",
+  "description": "Zephyr is a series of fine-tuned versions of the Mistral and Mixtral models that are trained to act as helpful assistants.",
+  "variantsCount": 3,
+  "variants": [
+    {
+      "name": "zephyr:latest",
+      "size": "4.1GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "zephyr:7b",
+      "size": "4.1GB",
+      "context": "32K",
+      "inputType": "Text"
+    },
+    {
+      "name": "zephyr:141b",
+      "size": "80GB",
+      "context": "64K",
+      "inputType": "Text"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/prompts/prompt-gen.md b/data/prompts/prompt-gen.md
new file mode 100644
index 0000000..c234f97
--- /dev/null
+++ b/data/prompts/prompt-gen.md
@@ -0,0 +1,32 @@
+Você é um Especialista em Engenharia de Prompts com raciocínio sequencial e acesso a fontes técnicas de primeira qualidade.
+
+## BUSCA DE INFORMAÇÕES
+- Conteúdo técnico: documentação oficial, papers acadêmicos (arXiv, ACM, IEEE), repositórios GitHub verificados, fóruns técnicos especializados.
+- Notícias: apenas fontes editorialmente independentes, sem padrão tendencioso.
+- Dados científicos: periódicos revisados por pares, instituições acadêmicas renomadas (MIT, Stanford, Carnegie Mellon).
+
+## RACIOCÍNIO SEQUENCIAL
+1. Decomponha o pedido em componentes específicos.
+2. Identifique lacunas de conhecimento e prioridades de pesquisa.
+3. Valide cada afirmação técnica com múltiplas fontes confiáveis.
+4. Apresente raciocínio passo-a-passo antes do prompt final.
+
+## GERAÇÃO DE PROMPTS
+**Análise**: objetivo final, público-alvo, nível técnico, escopo temporal.
+**Pesquisa**: 3-5 fontes autorizadas, cite explicitamente, identifique frameworks emergentes.
+**Validação**: diferencie hype de inovações consolidadas, privilegie pesquisas recentes (12-24 meses), indique atualidade.
+
+## ESTRUTURA DE SAÍDA
+1. Propósito claramente definido
+2. Contexto técnico atualizado com fontes verificadas
+3. Instruções sequenciais estruturadas
+4. Critérios de qualidade mensuráveis
+5. Restrições éticas e técnicas
+6. Citações discretas de fundamentos teóricos
+
+## RESTRIÇÕES CRÍTICAS
+- Gere APENAS o prompt solicitado, sem explicações adicionais.
+- Limite máximo: 3900 caracteres por resposta.
+- Questione abordagens mais refinadas disponíveis.
+- Indique quando conhecimento requer atualização futura.
+- Lembre-se sempre, tudo que eu mandar aqui deve ser entendio e transformado em prompt, nada aqui é um pedido direto, é tudo para ser transformado em um prompt aprimorado com as melhores técnicas de prompt existentes.
\ No newline at end of file
diff --git a/eslint.config.mjs b/eslint.config.mjs
new file mode 100644
index 0000000..05e726d
--- /dev/null
+++ b/eslint.config.mjs
@@ -0,0 +1,18 @@
+import { defineConfig, globalIgnores } from "eslint/config";
+import nextVitals from "eslint-config-next/core-web-vitals";
+import nextTs from "eslint-config-next/typescript";
+
+const eslintConfig = defineConfig([
+  ...nextVitals,
+  ...nextTs,
+  // Override default ignores of eslint-config-next.
+  globalIgnores([
+    // Default ignores of eslint-config-next:
+    ".next/**",
+    "out/**",
+    "build/**",
+    "next-env.d.ts",
+  ]),
+]);
+
+export default eslintConfig;
diff --git a/hooks/use-chat.ts b/hooks/use-chat.ts
new file mode 100644
index 0000000..08ff644
--- /dev/null
+++ b/hooks/use-chat.ts
@@ -0,0 +1,106 @@
+import { useState, useRef } from 'react';
+
+export interface Message {
+  role: 'user' | 'assistant' | 'system';
+  content: string;
+}
+
+export function useChat() {
+  const [messages, setMessages] = useState<Message[]>([]);
+  const [isLoading, setIsLoading] = useState(false);
+  const abortControllerRef = useRef<AbortController | null>(null);
+
+  const sendMessage = async (content: string, model: string, systemPrompt?: string) => {
+    setIsLoading(true);
+    
+    const newMessages: Message[] = [
+      ...messages,
+      { role: 'user', content }
+    ];
+    setMessages(newMessages);
+
+    // Prepare messages for API (include system prompt if present)
+    const apiMessages = systemPrompt 
+      ? [{ role: 'system', content: systemPrompt }, ...newMessages]
+      : newMessages;
+
+    abortControllerRef.current = new AbortController();
+
+    try {
+      const response = await fetch('http://localhost:11434/api/chat', {
+        method: 'POST',
+        headers: { 'Content-Type': 'application/json' },
+        body: JSON.stringify({
+          model,
+          messages: apiMessages,
+          stream: true,
+        }),
+        signal: abortControllerRef.current.signal,
+      });
+
+      if (!response.ok) throw new Error('Failed to send message');
+      if (!response.body) throw new Error('No response body');
+
+      const reader = response.body.getReader();
+      const decoder = new TextDecoder();
+      
+      // Add empty assistant message to start streaming into
+      setMessages(prev => [...prev, { role: 'assistant', content: '' }]);
+
+      while (true) {
+        const { done, value } = await reader.read();
+        if (done) break;
+
+        const chunk = decoder.decode(value, { stream: true });
+        const lines = chunk.split('\n').filter(line => line.trim() !== '');
+
+        for (const line of lines) {
+          try {
+            const json = JSON.parse(line);
+            if (json.message?.content) {
+              setMessages(prev => {
+                const last = prev[prev.length - 1];
+                if (last.role === 'assistant') {
+                  return [
+                    ...prev.slice(0, -1),
+                    { ...last, content: last.content + json.message.content }
+                  ];
+                }
+                return prev;
+              });
+            }
+            if (json.done) {
+              setIsLoading(false);
+            }
+          } catch (e) {
+            console.error('Error parsing chunk', e);
+          }
+        }
+      }
+    } catch (error: any) {
+      if (error.name === 'AbortError') {
+        console.log('Request aborted');
+      } else {
+        console.error('Chat error:', error);
+        setMessages(prev => [...prev, { role: 'assistant', content: 'Error: Failed to get response from Ollama.' }]);
+      }
+    } finally {
+      setIsLoading(false);
+      abortControllerRef.current = null;
+    }
+  };
+
+  const stop = () => {
+    if (abortControllerRef.current) {
+      abortControllerRef.current.abort();
+      setIsLoading(false);
+    }
+  };
+
+  const clearChat = () => {
+    setMessages([]);
+  };
+
+  return { messages, sendMessage, isLoading, stop, clearChat };
+}
+
diff --git a/hooks/use-hardware.ts b/hooks/use-hardware.ts
new file mode 100644
index 0000000..370ed93
--- /dev/null
+++ b/hooks/use-hardware.ts
@@ -0,0 +1,28 @@
+import { useState, useEffect } from 'react';
+import { invoke } from '@tauri-apps/api/core';
+import { SystemSpecs } from '@/lib/recommendation';
+
+export function useHardware() {
+  const [specs, setSpecs] = useState<SystemSpecs | null>(null);
+  const [loading, setLoading] = useState(true);
+
+  useEffect(() => {
+    async function fetchSpecs() {
+      try {
+        const data = await invoke<SystemSpecs>('get_system_specs');
+        // Simulate a small delay for the "scanning" effect
+        setTimeout(() => {
+          setSpecs(data);
+          setLoading(false);
+        }, 1500);
+      } catch (error) {
+        console.error("Failed to get system specs:", error);
+        setLoading(false);
+      }
+    }
+    fetchSpecs();
+  }, []);
+
+  return { specs, loading };
+}
+
diff --git a/hooks/use-local-models.ts b/hooks/use-local-models.ts
new file mode 100644
index 0000000..94219d4
--- /dev/null
+++ b/hooks/use-local-models.ts
@@ -0,0 +1,43 @@
+import { useState, useEffect, useCallback } from 'react';
+import { invoke } from '@tauri-apps/api/core';
+
+export interface LocalModel {
+  name: string;
+  size: string;
+  id: string;
+  modified_at: string;
+}
+
+export function useLocalModels() {
+  const [models, setModels] = useState<LocalModel[]>([]);
+  const [loading, setLoading] = useState(true);
+
+  const fetchModels = useCallback(async () => {
+    setLoading(true);
+    try {
+      const list = await invoke<LocalModel[]>('list_local_models');
+      setModels(list);
+    } catch (error) {
+      console.error("Failed to list models:", error);
+    } finally {
+      setLoading(false);
+    }
+  }, []);
+
+  const deleteModel = async (name: string) => {
+    try {
+      await invoke('delete_model', { name });
+      await fetchModels(); // Refresh list
+    } catch (error) {
+      console.error("Failed to delete model:", error);
+      throw error;
+    }
+  };
+
+  useEffect(() => {
+    fetchModels();
+  }, [fetchModels]);
+
+  return { models, loading, refresh: fetchModels, deleteModel };
+}
+
diff --git a/hooks/use-ollama-check.ts b/hooks/use-ollama-check.ts
new file mode 100644
index 0000000..f8ffa08
--- /dev/null
+++ b/hooks/use-ollama-check.ts
@@ -0,0 +1,41 @@
+import { useState, useEffect } from 'react';
+import { invoke } from '@tauri-apps/api/core';
+
+export type OllamaStatus = 'checking' | 'not_installed' | 'installed_stopped' | 'running';
+
+export function useOllamaCheck() {
+  const [status, setStatus] = useState<OllamaStatus>('checking');
+
+  const check = async () => {
+    // Don't set checking here if we want to silently revalidate, 
+    // but for initial load or explicit re-check it is fine.
+    // Only set checking if it's not already in a known state to avoid flicker?
+    // For now simple is better.
+    try {
+      const installed = await invoke<boolean>('check_ollama_installed');
+      if (!installed) {
+        setStatus('not_installed');
+        return;
+      }
+
+      const running = await invoke<boolean>('check_ollama_running');
+      if (!running) {
+        setStatus('installed_stopped');
+        return;
+      }
+
+      setStatus('running');
+    } catch (error) {
+      console.error('Failed to check ollama:', error);
+      // If invoke fails (e.g. backend not ready), we might want to handle gracefully
+      setStatus('not_installed');
+    }
+  };
+
+  useEffect(() => {
+    check();
+  }, []);
+
+  return { status, check };
+}
+
diff --git a/hooks/use-prompt-generator.ts b/hooks/use-prompt-generator.ts
new file mode 100644
index 0000000..3ded7b7
--- /dev/null
+++ b/hooks/use-prompt-generator.ts
@@ -0,0 +1,70 @@
+import { useState } from 'react';
+
+// Hardcoded for now to avoid FS complexity in v1, but ideally read from file
+const PROMPT_GEN_SYSTEM = `Você é um Especialista em Engenharia de Prompts com raciocínio sequencial e acesso a fontes técnicas de primeira qualidade.
+
+## BUSCA DE INFORMAÇÕES
+- Conteúdo técnico: documentação oficial, papers acadêmicos (arXiv, ACM, IEEE), repositórios GitHub verificados, fóruns técnicos especializados.
+- Notícias: apenas fontes editorialmente independentes, sem padrão tendencioso.
+- Dados científicos: periódicos revisados por pares, instituições acadêmicas renomadas (MIT, Stanford, Carnegie Mellon).
+
+## RACIOCÍNIO SEQUENCIAL
+1. Decomponha o pedido em componentes específicos.
+2. Identifique lacunas de conhecimento e prioridades de pesquisa.
+3. Valide cada afirmação técnica com múltiplas fontes confiáveis.
+4. Apresente raciocínio passo-a-passo antes do prompt final.
+
+## GERAÇÃO DE PROMPTS
+**Análise**: objetivo final, público-alvo, nível técnico, escopo temporal.
+**Pesquisa**: 3-5 fontes autorizadas, cite explicitamente, identifique frameworks emergentes.
+**Validação**: diferencie hype de inovações consolidadas, privilegie pesquisas recentes (12-24 meses), indique atualidade.
+
+## ESTRUTURA DE SAÍDA
+1. Propósito claramente definido
+2. Contexto técnico atualizado com fontes verificadas
+3. Instruções sequenciais estruturadas
+4. Critérios de qualidade mensuráveis
+5. Restrições éticas e técnicas
+6. Citações discretas de fundamentos teóricos
+
+## RESTRIÇÕES CRÍTICAS
+- Gere APENAS o prompt solicitado, sem explicações adicionais.
+- Limite máximo: 3900 caracteres por resposta.
+- Questione abordagens mais refinadas disponíveis.
+- Indique quando conhecimento requer atualização futura.
+- Lembre-se sempre, tudo que eu mandar aqui deve ser entendio e transformado em prompt, nada aqui é um pedido direto, é tudo para ser transformado em um prompt aprimorado com as melhores técnicas de prompt existentes.`;
+
+export function usePromptGenerator() {
+  const [isGenerating, setIsGenerating] = useState(false);
+
+  const generatePrompt = async (userGoal: string, model: string): Promise<string> => {
+    setIsGenerating(true);
+    try {
+      const response = await fetch('http://localhost:11434/api/chat', {
+        method: 'POST',
+        headers: { 'Content-Type': 'application/json' },
+        body: JSON.stringify({
+          model,
+          messages: [
+            { role: 'system', content: PROMPT_GEN_SYSTEM },
+            { role: 'user', content: userGoal }
+          ],
+          stream: false, // We want the full prompt at once for this utility
+        }),
+      });
+
+      if (!response.ok) throw new Error('Failed to generate prompt');
+      
+      const data = await response.json();
+      return data.message?.content || "";
+    } catch (error) {
+      console.error("Prompt generation failed:", error);
+      throw error;
+    } finally {
+      setIsGenerating(false);
+    }
+  };
+
+  return { generatePrompt, isGenerating };
+}
+
diff --git a/hooks/use-system-monitor.ts b/hooks/use-system-monitor.ts
new file mode 100644
index 0000000..e657459
--- /dev/null
+++ b/hooks/use-system-monitor.ts
@@ -0,0 +1,29 @@
+import { useState, useEffect } from 'react';
+import { invoke } from '@tauri-apps/api/core';
+import { listen } from '@tauri-apps/api/event';
+
+export interface SystemStats {
+  cpu_usage: number;
+  memory_used: number;
+  memory_total: number;
+}
+
+export function useSystemMonitor() {
+  const [stats, setStats] = useState<SystemStats | null>(null);
+
+  useEffect(() => {
+    // Start the monitor thread in backend
+    invoke('start_system_monitor');
+
+    const unlisten = listen<SystemStats>('system-stats', (event) => {
+      setStats(event.payload);
+    });
+
+    return () => {
+      unlisten.then(f => f());
+    };
+  }, []);
+
+  return stats;
+}
+
diff --git a/lib/recommendation.ts b/lib/recommendation.ts
new file mode 100644
index 0000000..f61a937
--- /dev/null
+++ b/lib/recommendation.ts
@@ -0,0 +1,54 @@
+export interface SystemSpecs {
+  total_memory: number; // Bytes
+  cpu_count: number;
+  os_name: string;
+}
+
+export interface ModelRecommendation {
+  modelId: string;
+  reason: string;
+  minRam: number; // GB
+}
+
+export const RECOMMENDED_MODELS = [
+  { id: 'llama3.2:1b', name: 'Llama 3.2 1B', size: '1.3GB', minRam: 4 },
+  { id: 'llama3.2:3b', name: 'Llama 3.2 3B', size: '2.0GB', minRam: 8 },
+  { id: 'gemma2:9b', name: 'Gemma 2 9B', size: '5.4GB', minRam: 12 },
+  { id: 'llama3.1:8b', name: 'Llama 3.1 8B', size: '4.7GB', minRam: 16 },
+  { id: 'mistral:latest', name: 'Mistral 7B', size: '4.1GB', minRam: 16 },
+];
+
+export function getRecommendation(specs: SystemSpecs): ModelRecommendation {
+  const ramGB = specs.total_memory / (1024 * 1024 * 1024);
+
+  if (ramGB < 8) {
+    return {
+      modelId: 'llama3.2:1b',
+      reason: 'Ideal para sistemas com pouca memória (< 8GB). Rápido e leve.',
+      minRam: 4
+    };
+  }
+
+  if (ramGB < 12) {
+    return {
+      modelId: 'llama3.2:3b',
+      reason: 'Equilíbrio perfeito entre velocidade e inteligência para seu sistema.',
+      minRam: 8
+    };
+  }
+
+  if (ramGB < 16) {
+    return {
+      modelId: 'gemma2:9b',
+      reason: 'Modelo avançado do Google, ótimo para raciocínio.',
+      minRam: 12
+    };
+  }
+
+  return {
+    modelId: 'llama3.1:8b',
+    reason: 'Padrão da indústria. Alta capacidade de raciocínio e conhecimento geral.',
+    minRam: 16
+  };
+}
+
diff --git a/lib/utils.ts b/lib/utils.ts
new file mode 100644
index 0000000..bd0c391
--- /dev/null
+++ b/lib/utils.ts
@@ -0,0 +1,6 @@
+import { clsx, type ClassValue } from "clsx"
+import { twMerge } from "tailwind-merge"
+
+export function cn(...inputs: ClassValue[]) {
+  return twMerge(clsx(inputs))
+}
diff --git a/next.config.ts b/next.config.ts
new file mode 100644
index 0000000..afcbe7e
--- /dev/null
+++ b/next.config.ts
@@ -0,0 +1,10 @@
+import type { NextConfig } from "next";
+
+const nextConfig: NextConfig = {
+  output: 'export',
+  images: {
+    unoptimized: true,
+  },
+};
+
+export default nextConfig;
diff --git a/package.json b/package.json
new file mode 100644
index 0000000..ff40570
--- /dev/null
+++ b/package.json
@@ -0,0 +1,44 @@
+{
+  "name": "temp_app",
+  "version": "0.1.0",
+  "private": true,
+  "scripts": {
+    "dev": "next dev",
+    "build": "next build",
+    "start": "next start",
+    "lint": "eslint"
+  },
+  "dependencies": {
+    "@radix-ui/react-dialog": "^1.1.15",
+    "@radix-ui/react-progress": "^1.1.8",
+    "@radix-ui/react-select": "^2.2.6",
+    "@radix-ui/react-separator": "^1.1.8",
+    "@radix-ui/react-slot": "^1.2.4",
+    "@radix-ui/react-tabs": "^1.1.13",
+    "@tauri-apps/api": "^2.9.0",
+    "class-variance-authority": "^0.7.1",
+    "clsx": "^2.1.1",
+    "framer-motion": "^12.23.24",
+    "lucide-react": "^0.554.0",
+    "next": "16.0.3",
+    "next-themes": "^0.4.6",
+    "react": "19.2.0",
+    "react-dom": "19.2.0",
+    "react-markdown": "^10.1.0",
+    "react-resizable-panels": "^3.0.6",
+    "remark-gfm": "^4.0.1",
+    "tailwind-merge": "^3.4.0"
+  },
+  "devDependencies": {
+    "@tailwindcss/postcss": "^4",
+    "@tauri-apps/cli": "^2.9.4",
+    "@types/node": "^20",
+    "@types/react": "^19",
+    "@types/react-dom": "^19",
+    "eslint": "^9",
+    "eslint-config-next": "16.0.3",
+    "tailwindcss": "^4",
+    "tw-animate-css": "^1.4.0",
+    "typescript": "^5"
+  }
+}
diff --git a/pnpm-lock.yaml b/pnpm-lock.yaml
new file mode 100644
index 0000000..01344ef
--- /dev/null
+++ b/pnpm-lock.yaml
@@ -0,0 +1,5988 @@
+lockfileVersion: '9.0'
+
+settings:
+  autoInstallPeers: true
+  excludeLinksFromLockfile: false
+
+importers:
+
+  .:
+    dependencies:
+      '@radix-ui/react-dialog':
+        specifier: ^1.1.15
+        version: 1.1.15(@types/react-dom@19.2.3(@types/react@19.2.6))(@types/react@19.2.6)(react-dom@19.2.0(react@19.2.0))(react@19.2.0)
+      '@radix-ui/react-progress':
+        specifier: ^1.1.8
+        version: 1.1.8(@types/react-dom@19.2.3(@types/react@19.2.6))(@types/react@19.2.6)(react-dom@19.2.0(react@19.2.0))(react@19.2.0)
+      '@radix-ui/react-select':
+        specifier: ^2.2.6
+        version: 2.2.6(@types/react-dom@19.2.3(@types/react@19.2.6))(@types/react@19.2.6)(react-dom@19.2.0(react@19.2.0))(react@19.2.0)
+      '@radix-ui/react-separator':
+        specifier: ^1.1.8
+        version: 1.1.8(@types/react-dom@19.2.3(@types/react@19.2.6))(@types/react@19.2.6)(react-dom@19.2.0(react@19.2.0))(react@19.2.0)
+      '@radix-ui/react-slot':
+        specifier: ^1.2.4
+        version: 1.2.4(@types/react@19.2.6)(react@19.2.0)
+      '@radix-ui/react-tabs':
+        specifier: ^1.1.13
+        version: 1.1.13(@types/react-dom@19.2.3(@types/react@19.2.6))(@types/react@19.2.6)(react-dom@19.2.0(react@19.2.0))(react@19.2.0)
+      '@tauri-apps/api':
+        specifier: ^2.9.0
+        version: 2.9.0
+      class-variance-authority:
+        specifier: ^0.7.1
+        version: 0.7.1
+      clsx:
+        specifier: ^2.1.1
+        version: 2.1.1
+      framer-motion:
+        specifier: ^12.23.24
+        version: 12.23.24(react-dom@19.2.0(react@19.2.0))(react@19.2.0)
+      lucide-react:
+        specifier: ^0.554.0
+        version: 0.554.0(react@19.2.0)
+      next:
+        specifier: 16.0.3
+        version: 16.0.3(@babel/core@7.28.5)(react-dom@19.2.0(react@19.2.0))(react@19.2.0)
+      next-themes:
+        specifier: ^0.4.6
+        version: 0.4.6(react-dom@19.2.0(react@19.2.0))(react@19.2.0)
+      react:
+        specifier: 19.2.0
+        version: 19.2.0
+      react-dom:
+        specifier: 19.2.0
+        version: 19.2.0(react@19.2.0)
+      react-markdown:
+        specifier: ^10.1.0
+        version: 10.1.0(@types/react@19.2.6)(react@19.2.0)
+      react-resizable-panels:
+        specifier: ^3.0.6
+        version: 3.0.6(react-dom@19.2.0(react@19.2.0))(react@19.2.0)
+      remark-gfm:
+        specifier: ^4.0.1
+        version: 4.0.1
+      tailwind-merge:
+        specifier: ^3.4.0
+        version: 3.4.0
+    devDependencies:
+      '@tailwindcss/postcss':
+        specifier: ^4
+        version: 4.1.17
+      '@tauri-apps/cli':
+        specifier: ^2.9.4
+        version: 2.9.4
+      '@types/node':
+        specifier: ^20
+        version: 20.19.25
+      '@types/react':
+        specifier: ^19
+        version: 19.2.6
+      '@types/react-dom':
+        specifier: ^19
+        version: 19.2.3(@types/react@19.2.6)
+      eslint:
+        specifier: ^9
+        version: 9.39.1(jiti@2.6.1)
+      eslint-config-next:
+        specifier: 16.0.3
+        version: 16.0.3(@typescript-eslint/parser@8.47.0(eslint@9.39.1(jiti@2.6.1))(typescript@5.9.3))(eslint@9.39.1(jiti@2.6.1))(typescript@5.9.3)
+      tailwindcss:
+        specifier: ^4
+        version: 4.1.17
+      tw-animate-css:
+        specifier: ^1.4.0
+        version: 1.4.0
+      typescript:
+        specifier: ^5
+        version: 5.9.3
+
+packages:
+
+  '@alloc/quick-lru@5.2.0':
+    resolution: {integrity: sha512-UrcABB+4bUrFABwbluTIBErXwvbsU/V7TZWfmbgJfbkwiBuziS9gxdODUyuiecfdGQ85jglMW6juS3+z5TsKLw==}
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+
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+
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diff --git a/src-tauri/Cargo.toml b/src-tauri/Cargo.toml
new file mode 100644
index 0000000..91295fd
--- /dev/null
+++ b/src-tauri/Cargo.toml
@@ -0,0 +1,27 @@
+[package]
+name = "app"
+version = "0.1.0"
+description = "A Tauri App"
+authors = ["you"]
+license = ""
+repository = ""
+edition = "2021"
+rust-version = "1.77.2"
+
+# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html
+
+[lib]
+name = "app_lib"
+crate-type = ["staticlib", "cdylib", "rlib"]
+
+[build-dependencies]
+tauri-build = { version = "2.5.1", features = [] }
+
+[dependencies]
+serde_json = "1.0"
+serde = { version = "1.0", features = ["derive"] }
+log = "0.4"
+tauri = { version = "2.9.2", features = [] }
+tauri-plugin-log = "2"
+reqwest = { version = "0.12", features = ["json"] }
+sysinfo = "0.36.1"
diff --git a/src-tauri/build.rs b/src-tauri/build.rs
new file mode 100644
index 0000000..795b9b7
--- /dev/null
+++ b/src-tauri/build.rs
@@ -0,0 +1,3 @@
+fn main() {
+  tauri_build::build()
+}
diff --git a/src-tauri/capabilities/default.json b/src-tauri/capabilities/default.json
new file mode 100644
index 0000000..c135d7f
--- /dev/null
+++ b/src-tauri/capabilities/default.json
@@ -0,0 +1,11 @@
+{
+  "$schema": "../gen/schemas/desktop-schema.json",
+  "identifier": "default",
+  "description": "enables the default permissions",
+  "windows": [
+    "main"
+  ],
+  "permissions": [
+    "core:default"
+  ]
+}
diff --git a/src-tauri/icons/128x128.png b/src-tauri/icons/128x128.png
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diff --git a/src-tauri/src/lib.rs b/src-tauri/src/lib.rs
new file mode 100644
index 0000000..6710edc
--- /dev/null
+++ b/src-tauri/src/lib.rs
@@ -0,0 +1,230 @@
+use std::process::{Command, Stdio};
+use std::io::{BufRead, BufReader};
+use std::time::Duration;
+use tauri::{command, Window, Emitter};
+use sysinfo::System;
+
+#[cfg(target_os = "windows")]
+use std::os::windows::process::CommandExt;
+
+#[derive(serde::Serialize)]
+struct SystemSpecs {
+    total_memory: u64,
+    cpu_count: usize,
+    os_name: String,
+}
+
+#[derive(serde::Serialize, Clone)]
+struct SystemStats {
+    cpu_usage: f32,
+    memory_used: u64,
+    memory_total: u64,
+}
+
+#[derive(serde::Serialize)]
+struct LocalModel {
+    name: String,
+    size: String,
+    id: String,
+    modified_at: String,
+}
+
+#[command]
+fn get_system_specs() -> SystemSpecs {
+    let mut sys = System::new_all();
+    sys.refresh_all();
+
+    SystemSpecs {
+        total_memory: sys.total_memory(),
+        cpu_count: sys.cpus().len(),
+        os_name: System::name().unwrap_or("Unknown".to_string()),
+    }
+}
+
+#[command]
+fn start_system_monitor(window: Window) {
+    std::thread::spawn(move || {
+        let mut sys = System::new_all();
+        loop {
+            sys.refresh_cpu_all();
+            sys.refresh_memory();
+
+            let cpu_usage = sys.global_cpu_usage();
+            let memory_used = sys.used_memory();
+            let memory_total = sys.total_memory();
+
+            let stats = SystemStats {
+                cpu_usage,
+                memory_used,
+                memory_total,
+            };
+
+            if window.emit("system-stats", stats).is_err() {
+                break; // Stop if window is closed
+            }
+
+            std::thread::sleep(Duration::from_secs(2));
+        }
+    });
+}
+
+#[command]
+fn list_local_models() -> Vec<LocalModel> {
+    let output = Command::new("ollama")
+        .arg("list")
+        .output();
+
+    match output {
+        Ok(output) => {
+            let stdout = String::from_utf8_lossy(&output.stdout);
+            let mut models = Vec::new();
+            
+            // Skip header line
+            for line in stdout.lines().skip(1) {
+                let parts: Vec<&str> = line.split_whitespace().collect();
+                if parts.len() >= 4 {
+                    // NAME ID SIZE MODIFIED
+                    // Note: Modified can be "2 days ago" (multiple parts)
+                    // We'll take the first part as name, second as ID, third as size
+                    // and the rest as modified
+                    let name = parts[0].to_string();
+                    let id = parts[1].to_string();
+                    let size = parts[2].to_string();
+                    let modified_at = parts[3..].join(" ");
+
+                    models.push(LocalModel {
+                        name,
+                        id,
+                        size,
+                        modified_at,
+                    });
+                }
+            }
+            models
+        }
+        Err(_) => Vec::new(),
+    }
+}
+
+#[command]
+async fn delete_model(name: String) -> Result<(), String> {
+    let output = Command::new("ollama")
+        .arg("rm")
+        .arg(&name)
+        .output()
+        .map_err(|e| e.to_string())?;
+
+    if output.status.success() {
+        Ok(())
+    } else {
+        Err(String::from_utf8_lossy(&output.stderr).to_string())
+    }
+}
+
+#[command]
+fn check_if_model_installed(name: String) -> bool {
+    let output = Command::new("ollama")
+        .arg("list")
+        .output();
+
+    match output {
+        Ok(output) => {
+            let stdout = String::from_utf8_lossy(&output.stdout);
+            stdout.contains(&name)
+        }
+        Err(_) => false,
+    }
+}
+
+#[command]
+async fn pull_model(window: Window, name: String) -> Result<(), String> {
+    let mut child = Command::new("ollama")
+        .arg("pull")
+        .arg(&name)
+        .stdout(Stdio::piped())
+        .stderr(Stdio::piped())
+        .spawn()
+        .map_err(|e| e.to_string())?;
+
+    let stdout = child.stdout.take().ok_or("Failed to open stdout")?;
+    let reader = BufReader::new(stdout);
+
+    for line in reader.lines() {
+        match line {
+            Ok(l) => {
+                window.emit("download-progress", l).unwrap_or(());
+            }
+            Err(_) => break,
+        }
+    }
+
+    let status = child.wait().map_err(|e| e.to_string())?;
+    
+    if status.success() {
+        Ok(())
+    } else {
+        Err("Failed to pull model".to_string())
+    }
+}
+
+#[command]
+fn check_ollama_installed() -> bool {
+    match Command::new("ollama").arg("--version").output() {
+        Ok(output) => output.status.success(),
+        Err(_) => false,
+    }
+}
+
+#[command]
+async fn check_ollama_running() -> bool {
+    match reqwest::get("http://localhost:11434").await {
+        Ok(resp) => resp.status().is_success(),
+        Err(_) => false,
+    }
+}
+
+#[command]
+fn start_ollama_server() -> Result<(), String> {
+    let mut cmd = Command::new("ollama");
+    cmd.arg("serve");
+
+    #[cfg(target_os = "windows")]
+    {
+        const CREATE_NO_WINDOW: u32 = 0x08000000;
+        cmd.creation_flags(CREATE_NO_WINDOW);
+    }
+
+    // Spawn detached
+    cmd.spawn()
+        .map_err(|e| format!("Failed to start ollama: {}", e))?;
+        
+    Ok(())
+}
+
+#[cfg_attr(mobile, tauri::mobile_entry_point)]
+pub fn run() {
+  tauri::Builder::default()
+    .setup(|app| {
+      if cfg!(debug_assertions) {
+        app.handle().plugin(
+          tauri_plugin_log::Builder::default()
+            .level(log::LevelFilter::Info)
+            .build(),
+        )?;
+      }
+      Ok(())
+    })
+    .invoke_handler(tauri::generate_handler![
+        check_ollama_installed, 
+        check_ollama_running,
+        get_system_specs,
+        check_if_model_installed,
+        pull_model,
+        start_ollama_server,
+        start_system_monitor,
+        list_local_models,
+        delete_model
+    ])
+    .run(tauri::generate_context!())
+    .expect("error while running tauri application");
+}
diff --git a/src-tauri/src/main.rs b/src-tauri/src/main.rs
new file mode 100644
index 0000000..ad5fe83
--- /dev/null
+++ b/src-tauri/src/main.rs
@@ -0,0 +1,6 @@
+// Prevents additional console window on Windows in release, DO NOT REMOVE!!
+#![cfg_attr(not(debug_assertions), windows_subsystem = "windows")]
+
+fn main() {
+  app_lib::run();
+}
diff --git a/src-tauri/tauri.conf.json b/src-tauri/tauri.conf.json
new file mode 100644
index 0000000..15f5a64
--- /dev/null
+++ b/src-tauri/tauri.conf.json
@@ -0,0 +1,37 @@
+{
+  "$schema": "../node_modules/@tauri-apps/cli/config.schema.json",
+  "productName": "ollahub",
+  "version": "0.1.0",
+  "identifier": "com.tauri.dev",
+  "build": {
+    "frontendDist": "../out",
+    "devUrl": "http://localhost:3000",
+    "beforeDevCommand": "pnpm dev",
+    "beforeBuildCommand": "pnpm build"
+  },
+  "app": {
+    "windows": [
+      {
+        "title": "OllaHub",
+        "width": 800,
+        "height": 600,
+        "resizable": true,
+        "fullscreen": false
+      }
+    ],
+    "security": {
+      "csp": null
+    }
+  },
+  "bundle": {
+    "active": true,
+    "targets": "all",
+    "icon": [
+      "icons/32x32.png",
+      "icons/128x128.png",
+      "icons/128x128@2x.png",
+      "icons/icon.icns",
+      "icons/icon.ico"
+    ]
+  }
+}
diff --git a/tsconfig.json b/tsconfig.json
new file mode 100644
index 0000000..3a13f90
--- /dev/null
+++ b/tsconfig.json
@@ -0,0 +1,34 @@
+{
+  "compilerOptions": {
+    "target": "ES2017",
+    "lib": ["dom", "dom.iterable", "esnext"],
+    "allowJs": true,
+    "skipLibCheck": true,
+    "strict": true,
+    "noEmit": true,
+    "esModuleInterop": true,
+    "module": "esnext",
+    "moduleResolution": "bundler",
+    "resolveJsonModule": true,
+    "isolatedModules": true,
+    "jsx": "react-jsx",
+    "incremental": true,
+    "plugins": [
+      {
+        "name": "next"
+      }
+    ],
+    "paths": {
+      "@/*": ["./*"]
+    }
+  },
+  "include": [
+    "next-env.d.ts",
+    "**/*.ts",
+    "**/*.tsx",
+    ".next/types/**/*.ts",
+    ".next/dev/types/**/*.ts",
+    "**/*.mts"
+  ],
+  "exclude": ["node_modules"]
+}