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Mixtral 8x22B Instruct V0.1 by MaziyarPanahi

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Mixtral 8x22B Instruct V0.1 is an open-source language model by MaziyarPanahi. Features: 140.6b LLM, VRAM: 221.4GB, Context: 64K, License: apache-2.0, MoE, Instruction-Based, LLM Explorer Score: 0.13.

  Conversational   De   En   Endpoints compatible   Es   Fr   Instruct   It   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/Mixtral-8x22B-Instruct-v0.1 

Mixtral 8x22B Instruct V0.1 Benchmarks

LLME Score: 0.12909
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 (MaziyarPanahi/Mixtral-8x22B-Instruct-v0.1)
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Mixtral 8x22B Instruct V0.1 Parameters and Internals

Model Type 
instruct-fine-tuned, causal language model
Additional Notes 
The model supports function calling capabilities.
Supported Languages 
en (fluent), es (fluent), it (fluent), de (fluent), fr (fluent)
Input Output 
Input Format:
chat message format
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Use the recommended tokenizer for best performance
LLM NameMixtral 8x22B Instruct V0.1
Repository 🤗https://huggingface.co/MaziyarPanahi/Mixtral-8x22B-Instruct-v0.1 
Model Size140.6b
Required VRAM221.4 GB
Updated2026-04-13
MaintainerMaziyarPanahi
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

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Mixtral 8x22B Instruct V0.164K / 221.4 GB27071748
...ixtral 8x22B Instruct V0.1 FP864K / 140.9 GB5480
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...x22B Instruct V0.1 FP8 Dynamic64K / 140.9 GB220
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...ral 8x22B Instruct V0.1 FP8 V264K / 140.9 GB50
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Mixtral 8x22B GO Instruct V164K / 280.8 GB52
Mixtral 8x22b Instruct Oh64K / 221.6 GB1029
... 8x22B V0.1 Instruct Sft En De64K / 212 GB121
Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/Mixtral-8x22B-Instruct-v0.1.

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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