by mistralai
Open source · 850k downloads · 4073 likes
Mistral 7B v0.1 is a generative language model with 7 billion parameters, designed to produce high-quality text. It outperforms comparable models like Llama 2 13B on most benchmarks, making it a powerful tool for a variety of tasks. Its capabilities include contextual understanding, generating precise responses, and fluently handling natural languages. Ideal for applications such as conversational assistance, automated writing, or textual data analysis, it stands out for its efficiency and versatility. Unlike some models, this is a base version without built-in moderation mechanisms, offering maximum flexibility for users.
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.
Mistral-7B-v0.1 is a transformer model, with the following architecture choices:
KeyError: 'mistral'
NotImplementedError: Cannot copy out of meta tensor; no data!
Ensure you are utilizing a stable version of Transformers, 4.34.0 or newer.
Mistral 7B is a pretrained base model and therefore does not have any moderation mechanisms.
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.