| ---
|
| language:
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| - en
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| license: apache-2.0
|
| tags:
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| - pretrained
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| pipeline_tag: text-generation
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| inference:
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| parameters:
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| temperature: 0.7
|
|
|
| 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:
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| - Grouped-Query Attention
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| - Sliding-Window Attention
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| - 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. |
