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.

  4-bit   4bit   Conversational   En   Mlx   Quantized   Qwen3 5   Region:us   Safetensors   Sharded   Tensorflow
Qwen3.5 27B 4bit DWQ (mlx-community/Qwen3.5-27B-4bit-DWQ)
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Qwen3.5 27B 4bit DWQ Parameters and Internals

LLM NameQwen3.5 27B 4bit DWQ
Repository ๐Ÿค—https://huggingface.co/mlx-community/Qwen3.5-27B-4bit-DWQ 
Model Size27b
Required VRAM15.2 GB
Updated2026-03-27
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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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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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260327b