Mixtral-8x22B-v0.1
New MoE model by MistralAI
Model Details:
- 65k context window
- 48 attention heads
- 56 layers
- 8 experts
Benchmarks
ARC C (25-shot): 70.5
Hellaswag (10-shot): 88.9
MMLU (5-shot): 77.3
TruthfulQA: 52.3
Winogrande (5-shot): 85.2
GSM8K (5-shot): 76.5
Source: https://huggingface.co/mistral-community/Mixtral-8x22B-v0.1/discussions/4#6616c393b8d25135997cdd45
The model is split into 27 parts, from the original torrent.
Magnet link and checksum: https://twitter.com/mistralai/status/1777869263778291896
How to use:
Run git clone:
git clone https://huggingface.co/leafspark/mixtral-8x22b
cd mixtral-8x22b
Make sure you have Python 2 or 3 installed (HuggingFace libraries not required):
python merge.py
This should take approximately 2 hours, you will be left with a 274GB file. Check the MD5 hash of consolidated.safetensors:
3816cd2c4f827b4b868bc6481d5d3ba2
That's it! Now you have the complete torrent download on your computer.
Credit to:
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Released by 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, LΓ©lio 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, TimothΓ©e Lacroix, ThΓ©ophile Gervet,
Thomas Wang, Valera Nemychnikova, William El Sayed, William Marshall