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Mixtral 8x7B Instruct V0.1 Hf 4bit Mlx by mlx-community

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  4bit   De   En   Es   Fr   Instruct   It   Mixtral   Mlx   Moe   Quantized   Region:us

Mixtral 8x7B Instruct V0.1 Hf 4bit Mlx Benchmarks

LLME Score: 0.17982
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mixtral 8x7B Instruct V0.1 Hf 4bit Mlx Parameters and Internals

LLM NameMixtral 8x7B Instruct V0.1 Hf 4bit Mlx
Repository 🤗https://huggingface.co/mlx-community/Mixtral-8x7B-Instruct-v0.1-hf-4bit-mlx 
Base Model(s)  LoneStriker/Mixtral-8x7B-Instruct-v0.1-HF   LoneStriker/Mixtral-8x7B-Instruct-v0.1-HF
Required VRAM10.4 GB
Updated2024-10-18
Maintainermlx-community
Model Typemixtral
Instruction-BasedYes
Model Files  16.1 GB   10.4 GB
Supported Languagesfr it de es en
Quantization Type4bit
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Vocabulary Size32000
Torch Data Typebfloat16
Mixtral 8x7B Instruct V0.1 Hf 4bit Mlx (mlx-community/Mixtral-8x7B-Instruct-v0.1-hf-4bit-mlx)

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Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Mixtral-8x7B-Instruct-v0.1-hf-4bit-mlx.

Rank the Mixtral 8x7B Instruct V0.1 Hf 4bit Mlx 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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