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Qwen3.5 9B Claude 4.6 Opus Reasoning Distilled by Jackrong

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Qwen3.5 9B Claude 4.6 Opus Reasoning Distilled is an open-source language model by Jackrong. Features: 9b LLM, VRAM: 19.3GB, License: apache-2.0, LLM Explorer Score: 0.39.

Base model:adapter:qwen/qwen3....   Base model:qwen/qwen3.5-9b   Chain-of-thought   Conversational Dataset:jackrong/qwen3.5-reaso... Dataset:nohurry/opus-4.6-reaso...   En   Image-text-to-text   Ko   Lora   Qwen   Qwen3.5   Qwen3 5   Reasoning   Region:us   Safetensors   Sharded   Tensorflow   Unsloth   Zh
Model Card on HF 🤗: https://huggingface.co/Jackrong/Qwen3.5-9B-Claude-4.6-Opus-Reasoning-Distilled 

Qwen3.5 9B Claude 4.6 Opus Reasoning Distilled Benchmarks

LLME Score: 0.38766
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3.5 9B Claude 4.6 Opus Reasoning Distilled (Jackrong/Qwen3.5-9B-Claude-4.6-Opus-Reasoning-Distilled)
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Qwen3.5 9B Claude 4.6 Opus Reasoning Distilled Parameters and Internals

LLM NameQwen3.5 9B Claude 4.6 Opus Reasoning Distilled
Repository 🤗https://huggingface.co/Jackrong/Qwen3.5-9B-Claude-4.6-Opus-Reasoning-Distilled 
Model Nameqwen/Qwen3.5-9B
Base Model(s)  Qwen/Qwen3.5-9B   Qwen/Qwen3.5-9B
Model Size9b
Required VRAM19.3 GB
Updated2026-05-11
MaintainerJackrong
Model Typeqwen3_5
Model Files  5.3 GB: 1-of-4   5.3 GB: 2-of-4   5.4 GB: 3-of-4   3.3 GB: 4-of-4
Supported Languagesen zh
Model ArchitectureQwen3_5ForConditionalGeneration
Licenseapache-2.0
Model Max Length262144
Tokenizer ClassTokenizersBackend
Padding Token<|endoftext|>
LoRA ModelYes
Torch Data Typebfloat16
Errorsreplace

Quantized Models of the Qwen3.5 9B Claude 4.6 Opus Reasoning Distilled

Model
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VRAM
... Opus Reasoning Distilled 4bit2375515 GB

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Note: green Score (e.g. "73.2") means that the model is better than Jackrong/Qwen3.5-9B-Claude-4.6-Opus-Reasoning-Distilled.

Rank the Qwen3.5 9B Claude 4.6 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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