MaziyarPanahi

MaziyarPanahi/Mistral-7B-Instruct-v0.3-GGUF

- Model creator: mistralai - Original model: mistralai/Mistral-7B-Instruct-v0.3...

Model Documentation

MaziyarPanahi/Mistral-7B-Instruct-v0.3-GGUF

  • Model creator: mistralai
  • Original model: mistralai/Mistral-7B-Instruct-v0.3


  • Description

    MaziyarPanahi/Mistral-7B-Instruct-v0.3-GGUF contains GGUF format model files for mistralai/Mistral-7B-Instruct-v0.3.

    About GGUF



    GGUF is a new format introduced by the llama.cpp team on August 21st 2023. It is a replacement for GGML, which is no longer supported by llama.cpp.

    Here is an incomplete list of clients and libraries that are known to support GGUF:

    * llama.cpp. The source project for GGUF. Offers a CLI and a server option. * llama-cpp-python, a Python library with GPU accel, LangChain support, and OpenAI-compatible API server. * LM Studio, an easy-to-use and powerful local GUI for Windows and macOS (Silicon), with GPU acceleration. Linux available, in beta as of 27/11/2023. * text-generation-webui, the most widely used web UI, with many features and powerful extensions. Supports GPU acceleration. * KoboldCpp, a fully featured web UI, with GPU accel across all platforms and GPU architectures. Especially good for story telling. * GPT4All, a free and open source local running GUI, supporting Windows, Linux and macOS with full GPU accel. * LoLLMS Web UI, a great web UI with many interesting and unique features, including a full model library for easy model selection. * Faraday.dev, an attractive and easy to use character-based chat GUI for Windows and macOS (both Silicon and Intel), with GPU acceleration. * candle, a Rust ML framework with a focus on performance, including GPU support, and ease of use. * ctransformers, a Python library with GPU accel, LangChain support, and OpenAI-compatible AI server. Note, as of time of writing (November 27th 2023), ctransformers has not been updated in a long time and does not support many recent models.

    Special thanks



    🙏 Special thanks to Georgi Gerganov and the whole team working on llama.cpp for making all of this possible.

    Files & Weights

    FilenameSizeAction
    Mistral-7B-Instruct-v0.3.IQ1_M.gguf 1.64 GB
    Mistral-7B-Instruct-v0.3.IQ1_S.gguf 1.50 GB
    Mistral-7B-Instruct-v0.3.IQ2_XS.gguf 2.05 GB
    Mistral-7B-Instruct-v0.3.IQ3_XS.gguf 2.82 GB
    Mistral-7B-Instruct-v0.3.IQ4_XS.gguf 3.64 GB
    Mistral-7B-Instruct-v0.3.Q2_K.gguf 2.54 GB
    Mistral-7B-Instruct-v0.3.Q3_K_L.gguf 3.56 GB
    Mistral-7B-Instruct-v0.3.Q3_K_M.gguf 3.28 GB
    Mistral-7B-Instruct-v0.3.Q3_K_S.gguf 2.95 GB
    Mistral-7B-Instruct-v0.3.Q4_K_M.gguf 4.07 GB
    Mistral-7B-Instruct-v0.3.Q4_K_S.gguf 3.86 GB
    Mistral-7B-Instruct-v0.3.Q5_K_M.gguf 4.78 GB
    Mistral-7B-Instruct-v0.3.Q5_K_S.gguf 4.66 GB
    Mistral-7B-Instruct-v0.3.Q6_K.gguf 5.54 GB
    Mistral-7B-Instruct-v0.3.Q8_0.gguf 7.17 GB
    Mistral-7B-Instruct-v0.3.fp16.gguf 13.50 GB