Qwen3.5 0.8B Claude 4.6 Opus Reasoning Distilled by Jackrong

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Qwen3.5 0.8B Claude 4.6 Opus Reasoning Distilled is an open-source language model by Jackrong. Features: 0.8b LLM, VRAM: 1.8GB, License: apache-2.0, LLM Explorer Score: 0.3.

Base model:adapter:qwen/qwen3....   Base model:qwen/qwen3.5-0.8b   Chain-of-thought   Conversational Dataset:jackrong/qwen3.5-reaso... Dataset:nohurry/opus-4.6-reaso...   En   Ko   Lora   Qwen   Qwen3.5   Qwen3.5-0.8b   Qwen3 5   Reasoning   Region:us   Safetensors   Sharded   Tensorflow   Unsloth   Zh

Qwen3.5 0.8B Claude 4.6 Opus Reasoning Distilled Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Qwen3.5 0.8B Claude 4.6 Opus Reasoning Distilled Parameters and Internals

LLM NameQwen3.5 0.8B Claude 4.6 Opus Reasoning Distilled
Repository 🤗https://huggingface.co/Jackrong/Qwen3.5-0.8B-Claude-4.6-Opus-Reasoning-Distilled 
Model Nameunsloth/Qwen3.5-0.8B
Base Model(s)  Qwen/Qwen3.5-0.8B   Qwen/Qwen3.5-0.8B
Model Size0.8b
Required VRAM1.8 GB
Updated2026-03-27
MaintainerJackrong
Model Typeqwen3_5
Model Files  1.8 GB: 1-of-1
Supported Languagesen zh ko
Model ArchitectureQwen3_5ForConditionalGeneration
Licenseapache-2.0
Model Max Length262144
Tokenizer ClassTokenizersBackend
Padding Token<|vision_pad|>
LoRA ModelYes
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Jackrong/Qwen3.5-0.8B-Claude-4.6-Opus-Reasoning-Distilled.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
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Multi-Language Support and Translation  

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Release v20260328a