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mistralai/Mixtral-8x7B-Instruct-v0.1
Other·mistralai· 523.3K· 4.7K
vllm
apache-2.0
46.7B params
base_model:mistralai/Mixtral-8x7B-v0.1base_model:finetune:mistralai/Mixtral-8x7B-v0.1license:apache-2.0
py from mistralcommon.tokens.tokenizers.mistral import MistralTokenizer from mistralcommon.protocol.instruct.messages import UserMessage from mistralcommon.protocol.instruct.request import ChatCompletionRequest
# pull & run locally
pip install mlforge-sdk && mlforge pull mistralai/Mixtral-8x7B-Instruct-v0.1
pip install mlforge-sdk && mlforge pull mistralai/Mixtral-8x7B-Instruct-v0.1
Model details
Provider
mistralai
Framework
vllm
Parameters
46.7B
Size
177 GB
License
apache-2.0
Downloads
523.3K
Likes
4.7K
Updated
2025-07-24
About mistralai/Mixtral-8x7B-Instruct-v0.1
[!TIP] PRs to correct the transformers tokenizer so that it gives 1-to-1 the same results as the mistral-common reference implementation are very welcome!