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Qwen3 235B A22B Instruct 2507 4bit by mlx-community

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Qwen3 235B A22B Instruct 2507 4bit is an open-source language model by mlx-community. Features: 235b LLM, VRAM: 131.4GB, Context: 256K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.24.

  4-bit   4bit Base model:quantized:qwen/qwen... Base model:qwen/qwen3-235b-a22...   Conversational   Instruct   Mlx   Quantized   Qwen3 moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlx-community/Qwen3-235B-A22B-Instruct-2507-4bit 

Qwen3 235B A22B Instruct 2507 4bit Benchmarks

LLME Score: 0.2441
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 Instruct 2507 4bit (mlx-community/Qwen3-235B-A22B-Instruct-2507-4bit)
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Qwen3 235B A22B Instruct 2507 4bit Parameters and Internals

LLM NameQwen3 235B A22B Instruct 2507 4bit
Repository 🤗https://huggingface.co/mlx-community/Qwen3-235B-A22B-Instruct-2507-4bit 
Base Model(s)  Qwen3 235B A22B Instruct 2507   Qwen/Qwen3-235B-A22B-Instruct-2507
Model Size235b
Required VRAM131.4 GB
Updated2026-04-17
Maintainermlx-community
Model Typeqwen3_moe
Instruction-BasedYes
Model Files  5.0 GB: 1-of-26   5.1 GB: 2-of-26   5.1 GB: 3-of-26   5.1 GB: 4-of-26   5.1 GB: 5-of-26   5.1 GB: 6-of-26   5.1 GB: 7-of-26   5.1 GB: 8-of-26   5.1 GB: 9-of-26   5.1 GB: 10-of-26   5.1 GB: 11-of-26   5.1 GB: 12-of-26   5.1 GB: 13-of-26   5.1 GB: 14-of-26   5.1 GB: 15-of-26   5.1 GB: 16-of-26   5.1 GB: 17-of-26   5.1 GB: 18-of-26   5.1 GB: 19-of-26   5.1 GB: 20-of-26   5.1 GB: 21-of-26   5.1 GB: 22-of-26   5.1 GB: 23-of-26   5.1 GB: 24-of-26   5.1 GB: 25-of-26   4.0 GB: 26-of-26
Quantization Type4bit
Model ArchitectureQwen3MoeForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version4.51.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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...5B A22B Instruct 2507 4bit DWQ256K / 131.4 GB572
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Qwen3 235B A22B Instruct 2507256K / 171.9 GB183785772
Qwen3 235B A22B Instruct 2507256K / 167.9 GB989
...n3 235B A22B Instruct 2507 FP8256K / 236.5 GB239764147
... 235B A22B Instruct 2507 NVFP4256K / 139.2 GB38826
...n3 235B A22B Instruct 2507 AWQ256K / 124.1 GB16974
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Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Qwen3-235B-A22B-Instruct-2507-4bit.

Rank the Qwen3 235B A22B Instruct 2507 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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