| --- |
| library_name: transformers |
| language: |
| - en |
| license: apache-2.0 |
| tags: |
| - pretrained |
| - mistral-common |
| inference: false |
| extra_gated_description: >- |
| If you want to learn more about how we process your personal data, please read |
| our <a href="https://mistral.ai/terms/">Privacy Policy</a>. |
| --- |
| |
| # Model Card for Mistral-7B-v0.1 |
|
|
| 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](https://arxiv.org/abs/2310.06825) and [release blog post](https://mistral.ai/news/announcing-mistral-7b/). |
|
|
| ## 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 |
|
|
| ## 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. |
|
|
| ## 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. |
