Mistral 7 B Instruct v0.3 G G U F

MaziyarPanahi

Introduction

The Mistral-7B-Instruct-v0.3-GGUF model, created by MaziyarPanahi, is a quantized version of the Mistral-7B-Instruct-v0.3 model. It supports various precision levels and is suitable for text generation tasks. The model uses the GGUF format, a newer format introduced by the llama.cpp team.

Architecture

This model is a quantized version designed for efficient text generation using the GGUF format. It supports multiple bit precision levels, including 2-bit to 8-bit, facilitating diverse applications in text generation and conversation.

Training

The model was developed by mistralai and quantized by MaziyarPanahi. It is intended for use in text-generation pipelines and is compatible with inference endpoints.

Guide: Running Locally

To run the Mistral-7B-Instruct-v0.3-GGUF model locally:

  1. Install Required Libraries: Ensure you have libraries that support GGUF, such as llama-cpp-python or text-generation-webui.
  2. Download the Model: Obtain the model files from the Hugging Face repository.
  3. Set Up Environment: Configure your environment to support GPU acceleration if available.
  4. Run the Model: Use one of the compatible interfaces, such as LM Studio or GPT4All, to deploy the model.

Cloud GPU Suggestion: For enhanced performance, consider using cloud GPUs from providers like AWS, Google Cloud, or Azure.

License

The model is released under the Apache-2.0 license, allowing for broad use with few restrictions on redistribution and modification.

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