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Qwen3 235B A22B Mixed 3 6bit by mlx-community

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Model Card on HF 🤗: https://huggingface.co/mlx-community/Qwen3-235B-A22B-mixed-3-6bit 

Qwen3 235B A22B Mixed 3 6bit Benchmarks

LLME Score: 0.27203
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 235B A22B Mixed 3 6bit (mlx-community/Qwen3-235B-A22B-mixed-3-6bit)
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Qwen3 235B A22B Mixed 3 6bit Parameters and Internals

LLM NameQwen3 235B A22B Mixed 3 6bit
Repository 🤗https://huggingface.co/mlx-community/Qwen3-235B-A22B-mixed-3-6bit 
Base Model(s)  Qwen3 235B A22B   Qwen/Qwen3-235B-A22B
Model Size235b
Required VRAM117 GB
Updated2025-07-29
Maintainermlx-community
Model Typeqwen3_moe
Model Files  5.2 GB: 1-of-23   5.2 GB: 2-of-23   5.2 GB: 3-of-23   5.4 GB: 4-of-23   5.3 GB: 5-of-23   5.4 GB: 6-of-23   5.3 GB: 7-of-23   5.4 GB: 8-of-23   5.3 GB: 9-of-23   5.4 GB: 10-of-23   5.3 GB: 11-of-23   5.4 GB: 12-of-23   5.3 GB: 13-of-23   5.4 GB: 14-of-23   5.3 GB: 15-of-23   5.4 GB: 16-of-23   5.3 GB: 17-of-23   5.4 GB: 18-of-23   5.3 GB: 19-of-23   4.9 GB: 20-of-23   5.2 GB: 21-of-23   5.2 GB: 22-of-23   0.5 GB: 23-of-23
Quantization Type6bit
Model ArchitectureQwen3MoeForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.51.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Qwen3 235B A22B 4bit40K / 131.4 GB729817
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Qwen3 235B A22B MLX 4bit40K / 125.2 GB95612
Qwen3 235B A22B MLX 8bit40K / 234.4 GB4036
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Qwen3-235B-A22B-mixed-3-6bit.

Rank the Qwen3 235B A22B Mixed 3 6bit Capabilities

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