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Mixtral 8x22B V0.1 by mistralai

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Model Card on HF 🤗: https://huggingface.co/mistralai/Mixtral-8x22B-v0.1 

Mixtral 8x22B V0.1 Benchmarks

MMLU Pro: 40.44
GPQA: 16.78
MUSR: 7.46
BBH: 45.59
IFEval: 25.83 vs 88 (so35)-70.6%
ARC: 70.65 vs 96.7 (so35)-26.9%
HellaSwag: 88.74 vs 95.3 (gpt4)-6.9%
MMLU: 77.79 vs 88.3 (so35)-11.9%
TruthfulQA: 50.95 vs 59 (gpt4)-13.6%
WinoGrande: 85 vs 87.5 (gpt4)-2.9%
GSM8K: 73.69 vs 96.4 (so35)-23.6%
MATH Lvl 5: 18.35
LLME Score: 0.28219
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mixtral 8x22B V0.1 (mistralai/Mixtral-8x22B-v0.1)
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Mixtral 8x22B V0.1 Parameters and Internals

Model Type 
pretrained, Sparse Mixture of Experts
Additional Notes 
Mixtral-8x22B is a pretrained base model and does not have moderation mechanisms.
Supported Languages 
fr (fluent), it (fluent), de (fluent), es (fluent), en (fluent)
Training Details 
Methodology:
generative
LLM NameMixtral 8x22B V0.1
Repository 🤗https://huggingface.co/mistralai/Mixtral-8x22B-v0.1 
Model Size140.6b
Required VRAM221.6 GB
Updated2025-09-08
Maintainermistralai
Model Typemixtral
Model Files  5.0 GB: 1-of-59   4.8 GB: 2-of-59   4.8 GB: 3-of-59   4.8 GB: 4-of-59   4.8 GB: 5-of-59   4.8 GB: 6-of-59   4.8 GB: 7-of-59   4.8 GB: 8-of-59   4.8 GB: 9-of-59   4.8 GB: 10-of-59   4.8 GB: 11-of-59   4.8 GB: 12-of-59   4.8 GB: 13-of-59   4.8 GB: 14-of-59   4.8 GB: 15-of-59   4.8 GB: 16-of-59   4.8 GB: 17-of-59   4.8 GB: 18-of-59   4.8 GB: 19-of-59   4.8 GB: 20-of-59   4.8 GB: 21-of-59   4.8 GB: 22-of-59   4.8 GB: 23-of-59   4.9 GB: 24-of-59   5.0 GB: 25-of-59   5.0 GB: 26-of-59   4.9 GB: 27-of-59   4.8 GB: 28-of-59   4.8 GB: 29-of-59   4.8 GB: 30-of-59   4.8 GB: 31-of-59   4.8 GB: 32-of-59   4.8 GB: 33-of-59   4.8 GB: 34-of-59   4.8 GB: 35-of-59   4.8 GB: 36-of-59   4.8 GB: 37-of-59   4.8 GB: 38-of-59   4.8 GB: 39-of-59   4.8 GB: 40-of-59   4.8 GB: 41-of-59   4.8 GB: 42-of-59   4.8 GB: 43-of-59   4.8 GB: 44-of-59   4.8 GB: 45-of-59   4.8 GB: 46-of-59
Supported Languagesfr it de es en
Gated ModelYes
Model ArchitectureMixtralForCausalLM
Licenseproprietary
Context Length65536
Model Max Length65536
Transformers Version4.38.0
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than mistralai/Mixtral-8x22B-v0.1.

Rank the Mixtral 8x22B V0.1 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20241124
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