Mistral 7B V0.1

🚀 Model Card for Mistral-7B-v0.1

The Mistral-7B-v0.1 is a 7-billion parameter pretrained generative text model that outperforms Llama 2 13B on tested benchmarks.

🚀 Quick Start

The Mistral-7B-v0.1 Large Language Model (LLM) is a pretrained generative text model with 7 billion parameters. Mistral-7B-v0.1 outperforms Llama 2 13B on all benchmarks we tested.

For full details of this model please read our paper and release blog post.

✨ Features

Model Architecture

Mistral-7B-v0.1 is a transformer model, with the following architecture choices:

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

🔧 Technical Details

Troubleshooting

• If you see the following error:

KeyError: 'mistral'

• Or:

NotImplementedError: Cannot copy out of meta tensor; no data!

Ensure you are utilizing a stable version of Transformers, 4.34.0 or newer.

📄 License

The license for this model is Apache-2.0.

📚 Documentation

Notice

Mistral 7B is a pretrained base model and therefore does not have any moderation mechanisms.

The Mistral AI Team

Albert Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lélio Renard Lavaud, Lucile Saulnier, Marie-Anne Lachaux, Pierre Stock, Teven Le Scao, Thibaut Lavril, Thomas Wang, Timothée Lacroix, William El Sayed.

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