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README.md

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----
-language:
-- en
-license: apache-2.0
-tags:
-- pretrained
-pipeline_tag: text-generation
-inference:
-  parameters:
-    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:
-- 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.