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

 »  All LLMs  »  mlx-community  »  Mixtral 8x7B V0.1 Hf 4bit Mlx   URL Share it on

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  4bit   De   En   Es   Fr   It   Mixtral   Mlx   Moe   Quantized   Region:us   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlx-community/Mixtral-8x7B-v0.1-hf-4bit-mlx 

Mixtral 8x7B V0.1 Hf 4bit Mlx Benchmarks

LLME Score: 0.13317
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mixtral 8x7B V0.1 Hf 4bit Mlx (mlx-community/Mixtral-8x7B-v0.1-hf-4bit-mlx)
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Mixtral 8x7B V0.1 Hf 4bit Mlx Parameters and Internals

Model Type 
moe, mlx
Additional Notes 
This model was converted to MLX format from `mistralai/Mixtral-8x7B-v0.1`. Refer to the original model card on Hugging Face for more details.
Supported Languages 
fr (fluent), it (fluent), de (fluent), es (fluent), en (fluent)
LLM NameMixtral 8x7B V0.1 Hf 4bit Mlx
Repository 🤗https://huggingface.co/mlx-community/Mixtral-8x7B-v0.1-hf-4bit-mlx 
Required VRAM26.4 GB
Updated2025-09-23
Maintainermlx-community
Model Typemixtral
Model Files  5.3 GB: 1-of-5   5.4 GB: 2-of-5   5.3 GB: 3-of-5   5.4 GB: 4-of-5   5.0 GB: 5-of-5
Supported Languagesfr it de es en
Quantization Type4bit
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.1
Vocabulary Size32000
Torch Data Typebfloat16

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

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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