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        "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",
        "capabilities": ["tools", "thinking"],
        "parameter_sizes": ["3b", "8b", "14b", "32b", "70b"],
        "pulls": "659K",
        "tags_count": 20,
        "last_updated": "6 months ago",
        "url": "https://ollama.com/library/cogito"
      },
      {
        "name": "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",
        "capabilities": ["thinking"],
        "parameter_sizes": ["14b"],
        "pulls": "625.6K",
        "tags_count": 9,
        "last_updated": "6 months ago",
        "url": "https://ollama.com/library/phi4-reasoning"
      },
      {
        "name": "openthinker",
        "description": "A fully open-source family of reasoning models built using a dataset derived by distilling DeepSeek-R1",
        "capabilities": ["thinking"],
        "parameter_sizes": ["7b", "32b"],
        "pulls": "604.4K",
        "tags_count": 15,
        "last_updated": "6 months ago",
        "url": "https://ollama.com/library/openthinker"
      },
      {
        "name": "magistral",
        "description": "Magistral is a small, efficient reasoning model with 24B parameters, excelling in domain-specific, transparent, and multilingual reasoning",
        "capabilities": ["tools", "thinking"],
        "parameter_sizes": ["24b"],
        "pulls": "583.4K",
        "tags_count": 5,
        "last_updated": "4 months ago",
        "url": "https://ollama.com/library/magistral"
      },
      {
        "name": "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",
        "capabilities": ["thinking"],
        "parameter_sizes": ["1.5b"],
        "pulls": "573.2K",
        "tags_count": 5,
        "last_updated": "8 months ago",
        "url": "https://ollama.com/library/deepscaler"
      },
      {
        "name": "codestral",
        "description": "Codestral is Mistral AI's first-ever code model designed for code generation tasks",
        "capabilities": ["tools"],
        "parameter_sizes": ["22b"],
        "pulls": "503.9K",
        "tags_count": 17,
        "last_updated": "1 year ago",
        "url": "https://ollama.com/library/codestral"
      },
      {
        "name": "dolphin-phi",
        "description": "2.7B uncensored Dolphin model by Eric Hartford, based on the Phi language model by Microsoft Research",
        "capabilities": [],
        "parameter_sizes": ["2.7b"],
        "pulls": "569.2K",
        "tags_count": 15,
        "last_updated": "1 year ago",
        "url": "https://ollama.com/library/dolphin-phi"
      },
      {
        "name": "dolphin-mistral",
        "description": "The uncensored Dolphin model based on Mistral that excels at coding tasks. Updated to version 2.8",
        "capabilities": ["tools"],
        "parameter_sizes": ["7b"],
        "pulls": "409.3K",
        "tags_count": 120,
        "last_updated": "1 year ago",
        "url": "https://ollama.com/library/dolphin-mistral"
      },
      {
        "name": "wizard-vicuna-uncensored",
        "description": "Wizard Vicuna Uncensored is a 7B, 13B, and 30B parameter model based on Llama 2 uncensored by Eric Hartford",
        "capabilities": [],
        "parameter_sizes": ["7b", "13b", "30b"],
        "pulls": "255.1K",
        "tags_count": 49,
        "last_updated": "2 years ago",
        "url": "https://ollama.com/library/wizard-vicuna-uncensored"
      },
      {
        "name": "dolphin-starcoder2",
        "description": "A 7B and 15B uncensored variant of the Dolphin model family that excels at coding, based on StarCoder2",
        "capabilities": ["tools"],
        "parameter_sizes": ["7b", "15b"],
        "pulls": "113.1K",
        "tags_count": 35,
        "last_updated": "1 year ago",
        "url": "https://ollama.com/library/dolphin-starcoder2"
      },
      {
        "name": "wizardlm-uncensored",
        "description": "Uncensored version of Wizard LM model",
        "capabilities": [],
        "parameter_sizes": ["7b", "13b"],
        "pulls": "89.5K",
        "tags_count": 18,
        "last_updated": "2 years ago",
        "url": "https://ollama.com/library/wizardlm-uncensored"
      },
      {
        "name": "llama-3.2-3b-instruct-abliterated",
        "description": "An uncensored version of the original Llama-3.2-3B-Instruct, created via abliteration",
        "capabilities": [],
        "parameter_sizes": ["3b"],
        "pulls": "508.1K",
        "tags_count": 1,
        "last_updated": "1 year ago",
        "url": "https://ollama.com/library/llama-3.2-3b-instruct-abliterated"
      },
      {
        "name": "josiefied-qwen3-uncensored",
        "description": "Qwen3, but Josiefied and uncensored",
        "capabilities": [],
        "parameter_sizes": ["7b"],
        "pulls": "71.5K",
        "tags_count": 47,
        "last_updated": "4 months ago",
        "url": "https://ollama.com/library/josiefied-qwen3-uncensored"
      },
      {
        "name": "abliterated-llama3.1-8b",
        "description": "Ablitered v3 llama-3.1 8b with uncensored prompt",
        "capabilities": [],
        "parameter_sizes": ["8b"],
        "pulls": "31K",
        "tags_count": 38,
        "last_updated": "1 year ago",
        "url": "https://ollama.com/library/abliterated-llama3.1-8b"
      },
      {
        "name": "dolphin-uncensored",
        "description": "Dolphin is an uncensored multilingual chat tuned model by Eric Hartford, conformant to system prompt, good at coding and various tasks",
        "capabilities": ["tools"],
        "parameter_sizes": ["8b"],
        "pulls": "25.5K",
        "tags_count": 15,
        "last_updated": "1 year ago",
        "url": "https://ollama.com/library/dolphin-uncensored"
      },
      {
        "name": "specialized-uncensored-openai-20b",
        "description": "Specialized uncensored/abliterated quants for new OpenAI 20B MOE - Mixture of Experts Model at 80+ T/S (quantized Q5_1)",
        "capabilities": ["tools"],
        "parameter_sizes": ["20b"],
        "pulls": "22.9K",
        "tags_count": 1,
        "last_updated": "1 month ago",
        "url": "https://ollama.com/library/specialized-uncensored-openai-20b"
      },
      {
        "name": "lexi-uncensored",
        "description": "Lexi is uncensored, which makes the model compliant. You are advised to implement your own alignment layer before exposing the model as a service",
        "capabilities": [],
        "parameter_sizes": ["7b"],
        "pulls": "15.3K",
        "tags_count": 9,
        "last_updated": "1 year ago",
        "url": "https://ollama.com/library/lexi-uncensored"
      },
      {
        "name": "llama3-uncensored",
        "description": "Uncensored version of Llama3 8b",
        "capabilities": [],
        "parameter_sizes": ["8b"],
        "pulls": "13.6K",
        "tags_count": 1,
        "last_updated": "1 year ago",
        "url": "https://ollama.com/library/llama3-uncensored"
      },
      {
        "name": "llama3-uncensored-long",
        "description": "This model was created with the goal for a good llama 3 uncencored model with long context",
        "capabilities": [],
        "parameter_sizes": ["8b"],
        "pulls": "13.5K",
        "tags_count": 4,
        "last_updated": "1 year ago",
        "url": "https://ollama.com/library/llama3-uncensored-long"
      },
      {
        "name": "deepseek-r1-distilled",
        "description": "DeepSeek's first generation reasoning models with comparable performance to OpenAI-o1",
        "capabilities": ["thinking"],
        "parameter_sizes": ["7b"],
        "pulls": "586.4K",
        "tags_count": 55,
        "last_updated": "5 months ago",
        "url": "https://ollama.com/library/deepseek-r1-distilled"
      },
      {
        "name": "llama-3.2-11b-vision-abliterated",
        "description": "From huihui-ai/Llama-3.2-11B-Vision-Instruct-abliterated",
        "capabilities": ["vision"],
        "parameter_sizes": ["11b"],
        "pulls": "69.8K",
        "tags_count": 2,
        "last_updated": "8 months ago",
        "url": "https://ollama.com/library/llama-3.2-11b-vision-abliterated"
      },
      {
        "name": "qwen2.5-1m",
        "description": "Qwen2.5-1M is the long-context version of the Qwen2.5 series models, supporting a context length of up to 1M tokens",
        "capabilities": [],
        "parameter_sizes": ["7b"],
        "pulls": "31K",
        "tags_count": 11,
        "last_updated": "9 months ago",
        "url": "https://ollama.com/library/qwen2.5-1m"
      },
      {
        "name": "qwen3-abliterated",
        "description": "This is the abliterated version of Qwen3, which is the latest generation of large language models in Qwen series",
        "capabilities": [],
        "parameter_sizes": ["7b"],
        "pulls": "23.9K",
        "tags_count": 6,
        "last_updated": "5 months ago",
        "url": "https://ollama.com/library/qwen3-abliterated"
      },
      {
        "name": "dolphin-3.0-llama3.1-8b-abliterated",
        "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",
        "capabilities": [],
        "parameter_sizes": ["8b"],
        "pulls": "21.7K",
        "tags_count": 5,
        "last_updated": "9 months ago",
        "url": "https://ollama.com/library/dolphin-3.0-llama3.1-8b-abliterated"
      },
      {
        "name": "gemma-3n-abliterated",
        "description": "This is an uncensored version of google/gemma-3n created with abliteration",
        "capabilities": [],
        "parameter_sizes": ["9b"],
        "pulls": "13.4K",
        "tags_count": 2,
        "last_updated": "3 months ago",
        "url": "https://ollama.com/library/gemma-3n-abliterated"
      },
      {
        "name": "neuraldaredevil-8b-abliterated",
        "description": "Contains fp16 version of the excellent NeuralDaredevil-8B-abliterated",
        "capabilities": [],
        "parameter_sizes": ["8b"],
        "pulls": "9,677",
        "tags_count": 1,
        "last_updated": "1 year ago",
        "url": "https://ollama.com/library/neuraldaredevil-8b-abliterated"
      },
      {
        "name": "mlabonne-neuraldaredevil-8b-abliterated",
        "description": "mlabonne/NeuralDaredevil-8B-abliterated",
        "capabilities": [],
        "parameter_sizes": ["8b"],
        "pulls": "7,679",
        "tags_count": 4,
        "last_updated": "1 year ago",
        "url": "https://ollama.com/library/mlabonne-neuraldaredevil-8b-abliterated"
      },
      {
        "name": "phi3-medium-abliterated",
        "description": "This is a phi3 medium model that has had the prompt rejection neurons snipped which is better than fine tuning",
        "capabilities": [],
        "parameter_sizes": ["14b"],
        "pulls": "6,591",
        "tags_count": 1,
        "last_updated": "1 year ago",
        "url": "https://ollama.com/library/phi3-medium-abliterated"
      },
      {
        "name": "gemma2-9b-abliterated",
        "description": "Abliterated version of Google's Gemma 2 9B",
        "capabilities": [],
        "parameter_sizes": ["9b"],
        "pulls": "6,386",
        "tags_count": 1,
        "last_updated": "1 year ago",
        "url": "https://ollama.com/library/gemma2-9b-abliterated"
      },
      {
        "name": "codeqwen1.5",
        "description": "CodeQwen1.5 is a large language model pretrained on a large amount of code data",
        "capabilities": ["tools"],
        "parameter_sizes": ["7b"],
        "pulls": "182K",
        "tags_count": 30,
        "last_updated": "1 year ago",
        "url": "https://ollama.com/library/codeqwen1.5"
      },
      {
        "name": "deepcoder",
        "description": "DeepCoder is a fully open-Source 14B coder model at O3-mini level, with a 1.5B version also available",
        "capabilities": ["tools"],
        "parameter_sizes": ["1.5b", "14b"],
        "pulls": "352.4K",
        "tags_count": 9,
        "last_updated": "6 months ago",
        "url": "https://ollama.com/library/deepcoder"
      },
      {
        "name": "granite-code",
        "description": "A family of open foundation models by IBM for Code Intelligence",
        "capabilities": ["tools"],
        "parameter_sizes": ["8b", "20b", "34b"],
        "pulls": "295.1K",
        "tags_count": 162,
        "last_updated": "1 year ago",
        "url": "https://ollama.com/library/granite-code"
      },
      {
        "name": "mistral-large-2",
        "description": "Mistral Large 2 is Mistral's new flagship model that is significantly more capable in code generation, mathematics, and reasoning",
        "capabilities": ["tools", "thinking"],
        "parameter_sizes": ["123b"],
        "pulls": "265.9K",
        "tags_count": 32,
        "last_updated": "11 months ago",
        "url": "https://ollama.com/library/mistral-large-2"
      },
      {
        "name": "starcoder",
        "description": "StarCoder is a code generation model trained on 80+ programming languages",
        "capabilities": ["tools"],
        "parameter_sizes": ["15b"],
        "pulls": "228.8K",
        "tags_count": 100,
        "last_updated": "2 years ago",
        "url": "https://ollama.com/library/starcoder"
      },
      {
        "name": "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",
        "capabilities": ["tools"],
        "parameter_sizes": ["1.5b", "8b"],
        "pulls": "194.3K",
        "tags_count": 9,
        "last_updated": "11 months ago",
        "url": "https://ollama.com/library/opencoder"
      },
      {
        "name": "llama-3.2-1b-abliterated",
        "description": "Abliterated version for small reasoning tasks from Llama 3.2 1B",
        "capabilities": ["thinking"],
        "parameter_sizes": ["1b"],
        "pulls": "39.9K",
        "tags_count": 16,
        "last_updated": "2 months ago",
        "url": "https://ollama.com/library/llama-3.2-1b-abliterated"
      }
    ],
    "api_information": {
      "local_api_endpoints": [
        {
          "endpoint": "/api/tags",
          "method": "GET",
          "description": "List all locally installed models"
        }
      ],
      "limitations": {
        "remote_listing": "Não existe endpoint público para listar todos os modelos disponíveis no registry remoto do Ollama",
        "user_models": "Modelos de usuários (uncensored/abliterated) são variantes comunitárias; busque via /search",
        "reasoning_focus": "Modelos com 'thinking' são otimizados para raciocínio multi-step (ex: CoT, logical puzzles)"
      }
    },
    "usage_instructions": {
      "list_local_models": "curl http://localhost:11434/api/tags",
      "pull_model": "ollama pull <model_name> (ex: ollama pull deepseek-r1 para reasoning)",
      "test_uncensored": "ollama run llama2-uncensored --prompt 'Gere código Python sem restrições'",
      "test_reasoning": "ollama run phi4-reasoning --prompt 'Resolva: 2+2=?'",
      "browse_searches": "https://ollama.com/search?q=<termo> (ex: uncensored, code)"
    },
    "recommendations_for_devs": {
      "coding": "Use qwen2.5-coder ou codestral para geração de código avançada [web:3]",
      "reasoning": "deepseek-r1 ou phi4-reasoning para tarefas lógicas/math [web:77]",
      "uncensored": "llama2-uncensored para experimentos sem alinhamento ético, mas implemente safeguards [attached_file:1]"
    }
  }