Mistral-7B-v0.1#
README(From Huggingface)#
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 Privacy Policy.#
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 and release blog post.
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.
Model Files#
.mdl (52.0 B)
.msc (849.0 B)
README.md (1.5 KB)
config.json (532.0 B)
generation_config.json (45.0 B)
model-00001-of-00003.safetensors (4.6 GB)
model-00002-of-00003.safetensors (4.7 GB)
model-00003-of-00003.safetensors (4.2 GB)
model.safetensors.index.json (24.0 KB)
model_state.pdparams (13.5 GB)
sentencepiece.bpe.model (481.9 KB)
special_tokens_map.json (72.0 B)
tokenizer.json (1.7 MB)
tokenizer_config.json (966.0 B)