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Mistral-7B-v0.1-chat-ORPO

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 ---
-library_name: transformers
 tags:
-- trl
-- orpo
 ---
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 ---
+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.