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Qwen3 235B A22B MLX 4bit by Qwen

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  Arxiv:2309.00071   Arxiv:2505.09388   4-bit   4bit   Autotrain compatible   Conversational   Endpoints compatible   Quantized   Qwen3 moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen3-235B-A22B-MLX-4bit 

Qwen3 235B A22B MLX 4bit Benchmarks

LLME Score: 0.30567
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 MLX 4bit (Qwen/Qwen3-235B-A22B-MLX-4bit)
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Qwen3 235B A22B MLX 4bit Parameters and Internals

LLM NameQwen3 235B A22B MLX 4bit
Repository 🤗https://huggingface.co/Qwen/Qwen3-235B-A22B-MLX-4bit 
Model Size235b
Required VRAM125.2 GB
Updated2025-06-17
MaintainerQwen
Model Typeqwen3_moe
Model Files  5.2 GB: 1-of-24   5.3 GB: 2-of-24   5.3 GB: 3-of-24   5.3 GB: 4-of-24   5.3 GB: 5-of-24   5.3 GB: 6-of-24   5.3 GB: 7-of-24   5.3 GB: 8-of-24   5.3 GB: 9-of-24   5.3 GB: 10-of-24   5.3 GB: 11-of-24   5.3 GB: 12-of-24   5.3 GB: 13-of-24   5.3 GB: 14-of-24   5.3 GB: 15-of-24   5.3 GB: 16-of-24   5.3 GB: 17-of-24   5.3 GB: 18-of-24   5.3 GB: 19-of-24   5.3 GB: 20-of-24   5.3 GB: 21-of-24   5.3 GB: 22-of-24   5.3 GB: 23-of-24   3.4 GB: 24-of-24
Quantization Type4bit
Model ArchitectureQwen3MoeForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.51.3
Tokenizer ClassQwen2Tokenizer
Padding Token<unk>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen3-235B-A22B-MLX-4bit.

Rank the Qwen3 235B A22B MLX 4bit Capabilities

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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