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mistral-community/Mixtral-8x22B-v0.1-original
Mixtral-8x22B-v0.1-original is a machine learning model from mistral-community. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
[!WARNING] This model checkpoint is provided as-is and might not be up-to-date. Please use the corresponding version from https://huggingface.co/mistralai org
Downloads · 30 days
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Updated Jul 1, 2024
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.05.4 GB · 2%
From the Hugging Face model README
[!WARNING] This model checkpoint is provided as-is and might not be up-to-date. Please use the corresponding version from https://huggingface.co/mistralai org
The original weights for Mixtral 8x22B.
These weights are unconverted. For converted weights, see mistral-community/Mixtral-8x22B-v0.1.
(Untested) script to join the files back together (run this where you downloaded the files):
import os
from tqdm import tqdm
print('Opening files...')
files = os.listdir('.')
files = [file for file in files if file.startswith('consolidated.safetensors.')]
files_sorted = sorted(files, key=lambda x: int(x.split('.')[-1]))
output_file = 'consolidated.safetensors'
progress_bar = tqdm(total=len(files_sorted), desc='Joining Files')
with open(os.path.join(directory, output_file), 'wb') as output:
for file in files_sorted:
with open(os.path.join(directory, file), 'rb') as input_file:
output.write(input_file.read())
progress_bar.update(1)
progress_bar.close()
print('Done!')
It may take a while.
It's in the Transformers repo.
Confirmed Apache https://x.com/arthurmensch/status/1778308399144333411