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  • codeqwen

    CodeQwen1.5 is a large language model pretrained on a large amount of code data.

    7b

    210.1K  Pulls 30  Tags Updated  1 year ago

  • codegemma

    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.

    2b 7b

    1.7M  Pulls 85  Tags Updated  1 year ago

  • command-r

    Command R is a Large Language Model optimized for conversational interaction and long context tasks.

    tools 35b

    427.1K  Pulls 32  Tags Updated  1 year ago

  • opencoder

    OpenCoder is an open and reproducible code LLM family which includes 1.5B and 8B models, supporting chat in English and Chinese languages.

    1.5b 8b

    272K  Pulls 9  Tags Updated  1 year ago

  • command-r7b-arabic

    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.

    tools 7b

    42.4K  Pulls 5  Tags Updated  9 months ago

  • cogito-2.1

    The Cogito v2.1 LLMs are instruction tuned generative models. All models are released under MIT license for commercial use.

    cloud 671b

    18.6K  Pulls 6  Tags Updated  3 weeks ago

  • mistral-small3.2

    An update to Mistral Small that improves on function calling, instruction following, and less repetition errors.

    vision tools 24b

    892.2K  Pulls 5  Tags Updated  6 months ago

  • granite3.3

    IBM Granite 2B and 8B models are 128K context length language models that have been fine-tuned for improved reasoning and instruction-following capabilities.

    tools 2b 8b

    773.6K  Pulls 3  Tags Updated  8 months ago

  • granite4

    Granite 4 features improved instruction following (IF) and tool-calling capabilities, making them more effective in enterprise applications.

    tools 350m 1b 3b

    296.1K  Pulls 17  Tags Updated  1 month ago

  • llama2-chinese

    Llama 2 based model fine tuned to improve Chinese dialogue ability.

    7b 13b

    190.1K  Pulls 35  Tags Updated  2 years ago

  • exaone3.5

    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.

    2.4b 7.8b 32b

    146.8K  Pulls 13  Tags Updated  1 year ago

  • llama-guard3

    Llama Guard 3 is a series of models fine-tuned for content safety classification of LLM inputs and responses.

    1b 8b

    119.8K  Pulls 33  Tags Updated  1 year ago

  • aya-expanse

    Cohere For AI's language models trained to perform well across 23 different languages.

    tools 8b 32b

    115.3K  Pulls 33  Tags Updated  1 year ago

  • ClinicianFOCUS/gemma3-soap-note-generator-experiment

    4  Pulls 1  Tag Updated  7 months ago

  • cleitongenuino/ollama

    Teste de Ia off-line

    tools

    1  Tag Updated  4 months ago

  • ishumilin/deepseek-r1-coder-tools

    This is a modified model that adds support for autonomous coding agents like Cline

    tools 1.5b 7b 8b 14b 32b 70b

    556.1K  Pulls 6  Tags Updated  9 months ago

  • hhao/qwen2.5-coder-tools

    Qwen2.5 coder tools model can work with Cline (prev. Claude Dev). Update 0.5b, 1.5b, 3b, 7b, 14b, 32b coder models.

    tools 0.5b 1.5b 3b 7b 14b 32b

    42.5K  Pulls 15  Tags Updated  1 year ago

  • tom_himanen/deepseek-r1-roo-cline-tools

    This version of Deepseek R1 is optimized for tool usage with Cline and Roo Code.

    tools 1.5b 7b 8b 14b 32b 70b

    17.1K  Pulls 510  Tags Updated  10 months ago

  • maryasov/qwen2.5-coder-cline

    Qwen2.5 coder tools model can work with Cline (prev. Claude Dev).

    tools 7b 14b 32b

    11.7K  Pulls 13  Tags Updated  1 year ago

  • mychen76/qwen3_cline_roocode

    Quantized version of Qwen3 models (4B,8B,14B,32B, 30B-moe) optimized for tool usage in Cline / Roo Code and solving Complex Problems.

    tools 4b 8b 14b 30b 32b

    10.2K  Pulls 8  Tags Updated  7 months ago

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