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Mixtral 8x22B Instruct V0.1 by mistralai

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  Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mixtral-8...   Conversational   De   En   Endpoints compatible   Es   Fr   Instruct   It   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
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: 0.45125
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)

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
Updated2025-02-05
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

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...ixtral 8x22B Instruct V0.1 AWQ1027273 GB

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Rank the Mixtral 8x22B Instruct V0.1 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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