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Mixtral 8x22B Instruct V0.1 by mistralai

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Mixtral 8x22B Instruct V0.1 is an open-source language model by mistralai. Features: 140.6b LLM, VRAM: 221.4GB, Context: 64K, License: apache-2.0, MoE, Instruction-Based, LLM Explorer Score: 0.43, ELO: 1229, Arc: 72.7, HellaSwag: 89.1, MMLU: 77.8, GSM8K: 82.

Base model:finetune:mistralai/... Base model:mistralai/mixtral-8...   De   Deploy:azure   En   Es   Eval-results   Fr   Instruct   It   Mistral-common   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow   Vllm
Model Card on HF 🤗: https://huggingface.co/mistralai/Mixtral-8x22B-Instruct-v0.1 

Mixtral 8x22B Instruct V0.1 Benchmarks

LMSys ELO: 1229 vs 1272 (so35)-3.4%
LLME Score: 0.43295
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
Updated2026-07-04
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
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length65536
Model Max Length65536
Transformers Version4.38.0
Vocabulary Size32768
Torch Data Typebfloat16

Quantized Models of the Mixtral 8x22B Instruct V0.1

Model
Likes
Downloads
VRAM
...ixtral 8x22B Instruct V0.1 AWQ13668973 GB

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...ixtral 8x22B Instruct V0.1 FP864K / 140.9 GB175090
...igHuggyD Grey WizardLM 2 8x22B64K / 216.6 GB54
...x22B Instruct V0.1 FP8 Dynamic64K / 140.9 GB220
WizardLM 2 8x22B Beige64K / 221.4 GB54
...ral 8x22B Instruct V0.1 FP8 V264K / 140.9 GB50
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Mixtral 8x22b Instruct Oh64K / 221.6 GB729
Mixtral 8x22B Instruct V0.164K / 221.4 GB01
...ralxWizardLM2 8x22B SLERP V0.264K / 280.8 GB80

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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