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Mixtral 8x22B V0.1 4bit by prince-canuma

 »  All LLMs  »  prince-canuma  »  Mixtral 8x22B V0.1 4bit   URL Share it on

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Model Card on HF 🤗: https://huggingface.co/prince-canuma/Mixtral-8x22B-v0.1-4bit 

Mixtral 8x22B V0.1 4bit Benchmarks

LLME Score: 0.1452
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 4bit (prince-canuma/Mixtral-8x22B-v0.1-4bit)
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Mixtral 8x22B V0.1 4bit Parameters and Internals

Model Type 
Sparse Mixture of Experts, Pretrained Generative
Use Cases 
Areas:
Research, Commercial Applications
Applications:
Text Generation, Natural Language Processing
Limitations:
No moderation mechanisms
Additional Notes 
Model quantized and added by [Prince Canuma](https://twitter.com/Prince_Canuma)
Supported Languages 
fr (high), it (high), de (high), es (high), en (high)
Training Details 
Context Length:
65000
Model Architecture:
Sparse Mixture of Experts
LLM NameMixtral 8x22B V0.1 4bit
Repository 🤗https://huggingface.co/prince-canuma/Mixtral-8x22B-v0.1-4bit 
Model Size72.7b
Required VRAM73.6 GB
Updated2025-09-27
Maintainerprince-canuma
Model Typemixtral
Model Files  5.0 GB: 1-of-15   5.0 GB: 2-of-15   5.0 GB: 3-of-15   5.0 GB: 4-of-15   5.0 GB: 5-of-15   5.0 GB: 6-of-15   5.0 GB: 7-of-15   5.0 GB: 8-of-15   5.0 GB: 9-of-15   5.0 GB: 10-of-15   5.0 GB: 11-of-15   5.0 GB: 12-of-15   5.0 GB: 13-of-15   5.0 GB: 14-of-15   3.6 GB: 15-of-15
Supported Languagesfr it de es en
Quantization Type4bit
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length65536
Model Max Length65536
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than prince-canuma/Mixtral-8x22B-v0.1-4bit.

Rank the Mixtral 8x22B V0.1 4bit 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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