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Mixtral 8x22B V0.1 4bit by mistral-community

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

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

Mixtral 8x22B V0.1 4bit Benchmarks

LLME Score: 0.19728
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 (mistral-community/Mixtral-8x22B-v0.1-4bit)

Mixtral 8x22B V0.1 4bit Parameters and Internals

Model Type 
generative, pretrained
Supported Languages 
fr (fluent), it (fluent), de (fluent), es (fluent), en (fluent)
Training Details 
Context Length:
65000
Model Architecture:
Sparse Mixture of Experts
Input Output 
Accepted Modalities:
text
LLM NameMixtral 8x22B V0.1 4bit
Repository 🤗https://huggingface.co/mistral-community/Mixtral-8x22B-v0.1-4bit 
Model Size72.7b
Required VRAM73.6 GB
Updated2025-02-05
Maintainermistral-community
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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Rank the Mixtral 8x22B V0.1 4bit Capabilities

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