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

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匿名用户2024年07月31日
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所属分类ai、mistral、Pytorch、region:us、text-generation-infe、endpoints_compatible、autotrain_compatible、license:apache-2.0、conversational、text-generation
开源地址https://modelscope.cn/models/LLM-Research/Mistral-7B-Instruct-v0.3-GGUF

作品详情

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

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.

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