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Qwen3.6 27B OptiQ 4bit by mlx-community

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Qwen3.6 27B OptiQ 4bit is an open-source language model by mlx-community. Features: 27b LLM, VRAM: 18.7GB, Context: 256K, License: apache-2.0, Quantized, LLM Explorer Score: 0.33.

  4-bit   4bit   8bit   Apple-silicon Base model:quantized:qwen/qwen...   Base model:qwen/qwen3.6-27b   Conversational   Mixed-precision   Mlx   Optiq   Quantized   Qwen3.6   Qwen3 5   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlx-community/Qwen3.6-27B-OptiQ-4bit 

Qwen3.6 27B OptiQ 4bit Benchmarks

LLME Score: 0.32634
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3.6 27B OptiQ 4bit (mlx-community/Qwen3.6-27B-OptiQ-4bit)

Qwen3.6 27B OptiQ 4bit Parameters and Internals

LLM NameQwen3.6 27B OptiQ 4bit
Repository 🤗https://huggingface.co/mlx-community/Qwen3.6-27B-OptiQ-4bit 
Base Model(s)  Qwen/Qwen3.6-27B   Qwen/Qwen3.6-27B
Model Size27b
Required VRAM18.7 GB
Updated2026-07-08
Maintainermlx-community
Model Typeqwen3_5
Model Files  5.3 GB: 1-of-4   5.4 GB: 2-of-4   5.3 GB: 3-of-4   2.7 GB: 4-of-4   0.3 GB   0.9 GB
Quantization Type4bit
Model ArchitectureQwen3_5ForConditionalGeneration
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version4.57.1
Tokenizer ClassTokenizersBackend
Padding Token<|endoftext|>
Vocabulary Size248320
Errorsreplace

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... Opus Reasoning Distilled 4bit0K / 15.1 GB1308
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Qwen3.5 27B0K / 54.7 GB1345615
Qwen3.6 27B NVFP40K / 26.4 GB1279926103
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Qwen3.6-27B-OptiQ-4bit.

Rank the Qwen3.6 27B OptiQ 4bit Capabilities

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Instruction Following and Task Automation  
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