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--- |
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license: apache-2.0 |
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pipeline_tag: text-generation |
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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 |
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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 our [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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Traceback (most recent call last): |
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File "", line 1, in |
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File "/transformers/models/auto/auto_factory.py", line 482, in from_pretrained |
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config, kwargs = AutoConfig.from_pretrained( |
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File "/transformers/models/auto/configuration_auto.py", line 1022, in from_pretrained |
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config_class = CONFIG_MAPPING[config_dict["model_type"]] |
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File "/transformers/models/auto/configuration_auto.py", line 723, in getitem |
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raise KeyError(key) |
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KeyError: 'mistral' |
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``` |
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Installing transformers from source should solve the issue: |
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``` |
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pip install git+https://github.com/huggingface/transformers |
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``` |
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This should not be required after transformers-v4.33.4. |
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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. |