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--- |
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license: apache-2.0 |
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pipeline_tag: text-generation |
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language: |
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- en |
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tags: |
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- pretrained |
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inference: |
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parameters: |
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temperature: 0.7 |
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--- |
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# Model Card for Mistral-7B-v0.1-colab-sharded |
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This model is a re-sharded version of Mistral-7B-v0.1, with more shard (6 instead of 2), that enable an easier loading on machine that don't have a lot of RAM such a free version of Google Colab. |
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The original model can be found here : https://huggingface.co/mistralai/Mistral-7B-v0.1 |
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## Model Description |
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The Mistral-7B-v0.1 Large Language Model (LLM) is a pretrained generative text model with 7 billion parameters. |
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Mistral-7B-v0.1 outperforms Llama 2 13B on all benchmarks we tested. |
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For full details of this model please read the [paper](https://arxiv.org/abs/2310.06825) and [release blog post](https://mistral.ai/news/announcing-mistral-7b/). |
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## Model Architecture |
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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 |
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## Troubleshooting |
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- If you see the following error: |
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``` |
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KeyError: 'mistral' |
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``` |
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- Or: |
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``` |
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NotImplementedError: Cannot copy out of meta tensor; no data! |
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``` |
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Ensure you are utilizing a stable version of Transformers, 4.34.0 or newer. |
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## Notice |
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Mistral 7B is a pretrained base model and therefore does not have any moderation mechanisms. |
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## The Mistral AI Team |
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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. |
