🚀 Mixtral-8x22B Model Card
The Mixtral-8x22B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts, offering advanced language processing capabilities. For comprehensive details about this model, refer to our release blog post.
🚀 Quick Start
Run the model
from transformers import AutoModelForCausalLM, AutoTokenizer
model_id = "mistralai/Mixtral-8x22B-v0.1"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)
text = "Hello my name is"
inputs = tokenizer(text, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=20)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
By default, the transformers
library will load the model in full precision. You may want to further reduce the memory requirements to run the model through the optimizations provided in the HF ecosystem.
✨ Features
- Multilingual Support: Supports languages such as French (
fr
), Italian (it
), German (de
), Spanish (es
), and English (en
).
- License: Licensed under the Apache-2.0 license.
- Tags: Tagged with
moe
, indicating its Sparse Mixture of Experts architecture.
⚠️ Warning
This repository contains weights that are compatible with vLLM for serving the model, as well as the Hugging Face transformers library. It is based on the original Mixtral torrent release, but the file format and parameter names are different.
💡 Notice
Mixtral-8x22B is a pretrained base model and does not have any moderation mechanisms.
📄 License
This project is licensed under the Apache-2.0 license.
👥 The Mistral AI Team
Albert Jiang, Alexandre Sablayrolles, Alexis Tacnet, Antoine Roux,
Arthur Mensch, Audrey Herblin-Stoop, Baptiste Bout, Baudouin de Monicault,
Blanche Savary, Bam4d, Caroline Feldman, Devendra Singh Chaplot,
Diego de las Casas, Eleonore Arcelin, Emma Bou Hanna, Etienne Metzger,
Gianna Lengyel, Guillaume Bour, Guillaume Lample, Harizo Rajaona,
Jean-Malo Delignon, Jia Li, Justus Murke, Louis Martin, Louis Ternon,
Lucile Saulnier, Lélio Renard Lavaud, Margaret Jennings, Marie Pellat,
Marie Torelli, Marie-Anne Lachaux, Nicolas Schuhl, Patrick von Platen,
Pierre Stock, Sandeep Subramanian, Sophia Yang, Szymon Antoniak, Teven Le Scao,
Thibaut Lavril, Timothée Lacroix, Théophile Gervet, Thomas Wang,
Valera Nemychnikova, William El Sayed, William Marshall
⚠️ Important Note
If you want to learn more about how we process your personal data, please read our Privacy Policy.