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Qwen3 235B A22B MLX 4bit by Qwen

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Qwen3 235B A22B MLX 4bit is an open-source language model by Qwen. Features: 235b LLM, VRAM: 125.2GB, Context: 40K, License: apache-2.0, Quantized, LLM Explorer Score: 0.21.

  Arxiv:2309.00071   Arxiv:2505.09388   4-bit   4bit   Conversational   Mlx   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: 0.20858
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
Updated2026-04-10
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

Best Alternatives to Qwen3 235B A22B MLX 4bit

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...3 235B A22B Instruct 2507 8bit256K / 227.7 GB44142
...3 235B A22B Instruct 2507 4bit256K / 131.4 GB39953
...3 235B A22B Thinking 2507 8bit256K / 227.7 GB6663
...5B A22B Thinking 2507 3bit DWQ256K / 103 GB2296
...5B A22B Thinking 2507 4bit DWQ256K / 131.4 GB794
...5B A22B Instruct 2507 3bit DWQ256K / 103 GB405
...5B A22B Instruct 2507 4bit DWQ256K / 131.4 GB572
Qwen3 235B A22B 4bit40K / 131.4 GB36567
Qwen3 235B A22B 8bit40K / 238.3 GB28724
Qwen3 235B A22B MLX 8bit40K / 229.3 GB959
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  
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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