Mistral 7 B v0.1

mistralai

Introduction

The Mistral-7B-v0.1 is a Large Language Model (LLM) designed for generative text tasks with 7 billion parameters. It surpasses Llama 2 13B on various benchmarks. Detailed information is available in the associated paper and release blog post.

Architecture

Mistral-7B-v0.1 is built on a transformer architecture featuring:

  • Grouped-Query Attention
  • Sliding-Window Attention
  • Byte-fallback BPE tokenizer

Training

Mistral-7B-v0.1 is a pretrained base model, optimized for text generation without built-in moderation mechanisms.

Guide: Running Locally

Basic Steps

  1. Install Required Libraries: Ensure you have a stable version of Transformers, 4.34.0 or newer.
  2. Download Model: Retrieve the Mistral-7B-v0.1 from Hugging Face's model hub.
  3. Implement Code: Use the model in your text generation pipeline, specifying parameters like temperature (e.g., 0.7).

Cloud GPUs

For efficient performance, consider using cloud GPU services such as AWS, Google Cloud, or Azure to handle model inference.

License

Mistral-7B-v0.1 is distributed under the Apache-2.0 license.

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