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Qwen3.6 27B Claude Opus Reasoning Distilled by rico03

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Qwen3.6 27B Claude Opus Reasoning Distilled is an open-source language model by rico03. Features: 27b LLM, VRAM: 55.4GB, License: apache-2.0, LLM Explorer Score: 0.31.

Base model:adapter:qwen/qwen3....   Base model:qwen/qwen3.6-27b   Claude-opus   Conversational Dataset:jackrong/qwen3.5-reaso... Dataset:nohurry/opus-4.6-reaso... Dataset:roman1111111/claude-op...   Distillation   En   Finetuned   Lora   Multilingual   Qwen3.6   Qwen3 5   Reasoning   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/rico03/Qwen3.6-27B-Claude-Opus-Reasoning-Distilled 

Qwen3.6 27B Claude Opus Reasoning Distilled Benchmarks

LLME Score: 0.31124
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 Claude Opus Reasoning Distilled (rico03/Qwen3.6-27B-Claude-Opus-Reasoning-Distilled)
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Qwen3.6 27B Claude Opus Reasoning Distilled Parameters and Internals

LLM NameQwen3.6 27B Claude Opus Reasoning Distilled
Repository 🤗https://huggingface.co/rico03/Qwen3.6-27B-Claude-Opus-Reasoning-Distilled 
Model Nameunsloth/Qwen3.6-27B
Base Model(s)  Qwen/Qwen3.6-27B   Qwen/Qwen3.6-27B
Model Size27b
Required VRAM55.4 GB
Updated2026-04-29
Maintainerrico03
Model Typeqwen3_5
Model Files  4.0 GB: 1-of-15   3.9 GB: 2-of-15   3.9 GB: 3-of-15   3.9 GB: 4-of-15   3.9 GB: 5-of-15   3.9 GB: 6-of-15   4.0 GB: 7-of-15   3.9 GB: 8-of-15   3.9 GB: 9-of-15   3.9 GB: 10-of-15   3.9 GB: 11-of-15   3.9 GB: 12-of-15   4.0 GB: 13-of-15   3.9 GB: 14-of-15   0.5 GB: 15-of-15
Supported Languagesen
Model ArchitectureQwen3_5ForConditionalGeneration
Licenseapache-2.0
Model Max Length262144
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than rico03/Qwen3.6-27B-Claude-Opus-Reasoning-Distilled.

Rank the Qwen3.6 27B Claude Opus Reasoning Distilled 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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