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Qwen3.6 35B A3B 4bit DWQ by mlx-community

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Qwen3.6 35B A3B 4bit DWQ is an open-source language model by mlx-community. Features: 35b LLM, VRAM: 20.7GB, Quantized, LLM Explorer Score: 0.29.

  4bit   8-bit   Conversational   En   Mlx   Quantized   Qwen3 5 moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlx-community/Qwen3.6-35B-A3B-4bit-DWQ 

Qwen3.6 35B A3B 4bit DWQ Benchmarks

LLME Score: 0.29373
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3.6 35B A3B 4bit DWQ (mlx-community/Qwen3.6-35B-A3B-4bit-DWQ)
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Qwen3.6 35B A3B 4bit DWQ Parameters and Internals

LLM NameQwen3.6 35B A3B 4bit DWQ
Repository 🤗https://huggingface.co/mlx-community/Qwen3.6-35B-A3B-4bit-DWQ 
Model Size35b
Required VRAM20.7 GB
Updated2026-07-18
Maintainermlx-community
Model Typeqwen3_5_moe
Model Files  5.3 GB: 1-of-4   5.4 GB: 2-of-4   5.2 GB: 3-of-4   4.8 GB: 4-of-4
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen3_5MoeForConditionalGeneration
Model Max Length262144
Transformers Version4.57.1
Tokenizer ClassTokenizersBackend
Padding Token<|endoftext|>
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Qwen3.6-35B-A3B-4bit-DWQ.

Rank the Qwen3.6 35B A3B 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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