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Qwen3.6 27B DSV4Pro Thinking Distill by nerkyor

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Qwen3.6 27B DSV4Pro Thinking Distill is an open-source language model by nerkyor. Features: 27b LLM, VRAM: 53.8GB, License: apache-2.0, LLM Explorer Score: 0.38.

  Arxiv:2203.14465   Arxiv:2210.03629   Arxiv:2304.01196   Arxiv:2307.16789   Arxiv:2310.12823   Arxiv:2501.12948   Agentic Base model:quantized:qwen/qwen...   Base model:qwen/qwen3.6-27b   Conversational   Dense   Distillation   En   Gguf   Mtp   Qwen3   Qwen3 5   Reasoning   Region:us   Safetensors   Sharded   Speculative-decoding   Tensorflow   Thinking   Zh
Model Card on HF 🤗: https://huggingface.co/nerkyor/Qwen3.6-27B-DSV4Pro-Thinking-Distill 

Qwen3.6 27B DSV4Pro Thinking Distill Benchmarks

LLME Score: 0.38143
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 DSV4Pro Thinking Distill (nerkyor/Qwen3.6-27B-DSV4Pro-Thinking-Distill)
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Qwen3.6 27B DSV4Pro Thinking Distill Parameters and Internals

LLM NameQwen3.6 27B DSV4Pro Thinking Distill
Repository 🤗https://huggingface.co/nerkyor/Qwen3.6-27B-DSV4Pro-Thinking-Distill 
Base Model(s)  Qwen/Qwen3.6-27B   Qwen/Qwen3.6-27B
Model Size27b
Required VRAM53.8 GB
Updated2026-06-26
Maintainernerkyor
Model Typeqwen3_5
Model Files  2.5 GB: 1-of-12   4.8 GB: 2-of-12   5.0 GB: 3-of-12   4.9 GB: 4-of-12   5.0 GB: 5-of-12   4.9 GB: 6-of-12   4.9 GB: 7-of-12   5.0 GB: 8-of-12   5.0 GB: 9-of-12   4.9 GB: 10-of-12   5.0 GB: 11-of-12   1.9 GB: 12-of-12   0.9 GB   0.8 GB
Supported Languagesen zh
Model ArchitectureQwen3_5ForConditionalGeneration
Licenseapache-2.0
Model Max Length262144
Transformers Version4.57.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than nerkyor/Qwen3.6-27B-DSV4Pro-Thinking-Distill.

Rank the Qwen3.6 27B DSV4Pro Thinking Distill 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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