Qwen3.5 27B 4bit DWQ by mlx-community

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Qwen3.5 27B 4bit DWQ is an open-source language model by mlx-community. Features: 27b LLM, VRAM: 15.2GB, Quantized, LLM Explorer Score: 0.28.

  4-bit   4bit   Conversational   En   Mlx   Quantized   Qwen3 5   Region:us   Safetensors   Sharded   Tensorflow

Qwen3.5 27B 4bit DWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Qwen3.5 27B 4bit DWQ Parameters and Internals

LLM NameQwen3.5 27B 4bit DWQ
Repository 🤗https://huggingface.co/mlx-community/Qwen3.5-27B-4bit-DWQ 
Model Size27b
Required VRAM15.2 GB
Updated2026-05-20
Maintainermlx-community
Model Typeqwen3_5
Model Files  5.3 GB: 1-of-3   5.4 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen3_5ForConditionalGeneration
Model Max Length262144
Transformers Version4.57.0.dev0
Tokenizer ClassTokenizersBackend
Padding Token<|endoftext|>
Torch Data Typebfloat16
Errorsreplace

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Qwen3.5 27B0K / 54.7 GB3247914
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Qwen3.6 27B NVFP40K / 31 GB813996
GRM 2.6 Opus0K / 55.6 GB48828
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Qwen3.5-27B-4bit-DWQ.

Rank the Qwen3.5 27B 4bit DWQ 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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Release v20260328a