| | --- |
| | license: apache-2.0 |
| | pipeline_tag: text-generation |
| | language: |
| | - en |
| | tags: |
| | - pretrained |
| | inference: |
| | parameters: |
| | temperature: 0.7 |
| | --- |
| | |
| | # 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. |
