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Qwen3.6 27B MTPLX Optimized Speed by Youssofal

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Qwen3.6 27B MTPLX Optimized Speed is an open-source language model by Youssofal. Features: 27b LLM, VRAM: 16GB, License: apache-2.0, LLM Explorer Score: 0.39.

  4-bit   Apple-silicon Base model:quantized:qwen/qwen...   Base model:qwen/qwen3.6-27b   Conversational   Local-ai   Mlx   Mtp   Mtplx   Qwen   Qwen3   Qwen3-next   Qwen3 5   Region:us   Safetensors   Sharded   Speculative-decoding   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Youssofal/Qwen3.6-27B-MTPLX-Optimized-Speed 

Qwen3.6 27B MTPLX Optimized Speed Benchmarks

LLME Score: 0.38555
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 MTPLX Optimized Speed (Youssofal/Qwen3.6-27B-MTPLX-Optimized-Speed)
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Qwen3.6 27B MTPLX Optimized Speed Parameters and Internals

LLM NameQwen3.6 27B MTPLX Optimized Speed
Repository 🤗https://huggingface.co/Youssofal/Qwen3.6-27B-MTPLX-Optimized-Speed 
Base Model(s)  Qwen/Qwen3.6-27B   Qwen/Qwen3.6-27B
Model Size27b
Required VRAM16 GB
Updated2026-05-19
MaintainerYoussofal
Model Typeqwen3_5
Model Files  5.3 GB: 1-of-3   5.3 GB: 2-of-3   5.4 GB: 3-of-3   0.3 GB
Model ArchitectureQwen3_5ForConditionalGeneration
Licenseapache-2.0
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 Youssofal/Qwen3.6-27B-MTPLX-Optimized-Speed.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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