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Qwen3.6 27B UD Q3 K XL Mlx by Brooooooklyn

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Qwen3.6 27B UD Q3 K XL Mlx is an open-source language model by Brooooooklyn. Features: 27b LLM, VRAM: 18.7GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.26.

  3-bit   Apple-silicon   Awq Base model:quantized:qwen/qwen...   Base model:qwen/qwen3.6-27b   Conversational   En   Gated-delta-net   Hybrid-attention   Mlx   Mlx-node   Q3   Quantized   Qwen3.6   Qwen3 5   Region:us   Safetensors   Sharded   Tensorflow   Unsloth-dynamic   Zh
Model Card on HF 🤗: https://huggingface.co/Brooooooklyn/Qwen3.6-27B-UD-Q3_K_XL-mlx 

Qwen3.6 27B UD Q3 K XL Mlx Benchmarks

LLME Score: 0.25714
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 UD Q3 K XL Mlx (Brooooooklyn/Qwen3.6-27B-UD-Q3_K_XL-mlx)

Qwen3.6 27B UD Q3 K XL Mlx Parameters and Internals

LLM NameQwen3.6 27B UD Q3 K XL Mlx
Repository 🤗https://huggingface.co/Brooooooklyn/Qwen3.6-27B-UD-Q3_K_XL-mlx 
Base Model(s)  Qwen/Qwen3.6-27B   Qwen/Qwen3.6-27B
Model Size27b
Required VRAM18.7 GB
Updated2026-06-23
MaintainerBrooooooklyn
Model Typeqwen3_5
Model Files  5.3 GB: 1-of-4   5.4 GB: 2-of-4   5.4 GB: 3-of-4   2.6 GB: 4-of-4
Supported Languagesen zh
Quantization Typeq3
Model ArchitectureQwen3_5ForConditionalGeneration
Licenseapache-2.0
Model Max Length262144
Transformers Version4.57.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Errorsreplace

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... Opus Reasoning Distilled 4bit0K / 15.1 GB1308
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Qwen3.5 27B0K / 55.2 GB811516
Qwen3.6 27B NVFP40K / 26.4 GB1279926103
Note: green Score (e.g. "73.2") means that the model is better than Brooooooklyn/Qwen3.6-27B-UD-Q3_K_XL-mlx.

Rank the Qwen3.6 27B UD Q3 K XL Mlx 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  
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