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Mixtral 8x22B Instruct V0.1 by mistralai

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

Mixtral 8x22B Instruct V0.1 Benchmarks

MMLU Pro: 38.7
GPQA: 16.44
MUSR: 13.49
BBH: 44.11
IFEval: 71.84 vs 88 (so35)-18.4%
ARC: 72.7 vs 96.7 (so35)-24.8%
HellaSwag: 89.08 vs 95.3 (gpt4)-6.5%
MMLU: 77.77 vs 88.3 (so35)-11.9%
TruthfulQA: 68.14 vs 59 (gpt4)15.5%
WinoGrande: 85.16 vs 87.5 (gpt4)-2.7%
GSM8K: 82.03 vs 96.4 (so35)-14.9%
MATH Lvl 5: 18.73
LLME Score: 0.36103
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mixtral 8x22B Instruct V0.1 (mistralai/Mixtral-8x22B-Instruct-v0.1)
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Mixtral 8x22B Instruct V0.1 Parameters and Internals

Model Type 
text generation, instruction following
Additional Notes 
The HuggingFace tokenizer included in this release should match the Mistral tokenizer, ensuring consistent results.
Supported Languages 
en (.), es (.), it (.), de (.), fr (.)
LLM NameMixtral 8x22B Instruct V0.1
Repository 🤗https://huggingface.co/mistralai/Mixtral-8x22B-Instruct-v0.1 
Base Model(s)  mistralai/Mixtral-8x22B-v0.1   mistralai/Mixtral-8x22B-v0.1
Model Size140.6b
Required VRAM221.4 GB
Updated2025-07-26
Maintainermistralai
Model Typemixtral
Instruction-BasedYes
Model Files  4.8 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   4.9 GB: 23-of-59   5.0 GB: 24-of-59   5.0 GB: 25-of-59   4.9 GB: 26-of-59   4.8 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 Languagesen es it de fr
Gated ModelYes
Model ArchitectureMixtralForCausalLM
Licenseproprietary
Context Length65536
Model Max Length65536
Transformers Version4.38.0
Vocabulary Size32768
Torch Data Typebfloat16

Quantized Models of the Mixtral 8x22B Instruct V0.1

Model
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VRAM
...ixtral 8x22B Instruct V0.1 AWQ10118873 GB

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...ixtral 8x22B Instruct V0.1 FP864K / 140.9 GB1400
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...x22B Instruct V0.1 FP8 Dynamic64K / 140.9 GB220
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Rank the Mixtral 8x22B Instruct 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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