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Qwen3.5 2B Claude 4.6 Opus Reasoning Distilled by Jackrong

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Qwen3.5 2B Claude 4.6 Opus Reasoning Distilled is an open-source language model by Jackrong. Features: 2b LLM, VRAM: 4.5GB, License: apache-2.0, LLM Explorer Score: 0.25.

  Chain-of-thought   Conversational   En   Lora   Qwen   Qwen3.5   Qwen3.5-2b   Qwen3 5   Reasoning   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/Jackrong/Qwen3.5-2B-Claude-4.6-Opus-Reasoning-Distilled 

Qwen3.5 2B Claude 4.6 Opus Reasoning Distilled Benchmarks

LLME Score: 0.25419
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3.5 2B Claude 4.6 Opus Reasoning Distilled (Jackrong/Qwen3.5-2B-Claude-4.6-Opus-Reasoning-Distilled)
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Qwen3.5 2B Claude 4.6 Opus Reasoning Distilled Parameters and Internals

LLM NameQwen3.5 2B Claude 4.6 Opus Reasoning Distilled
Repository 🤗https://huggingface.co/Jackrong/Qwen3.5-2B-Claude-4.6-Opus-Reasoning-Distilled 
Model Nameunsloth/Qwen3.5-2B
Model Size2b
Required VRAM4.5 GB
Updated2026-06-19
MaintainerJackrong
Model Typeqwen3_5
Model Files  4.5 GB: 1-of-1
Supported Languagesen
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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Qwen3.5 2B JP V0.20K / 4.4 GB90
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Note: green Score (e.g. "73.2") means that the model is better than Jackrong/Qwen3.5-2B-Claude-4.6-Opus-Reasoning-Distilled.

Rank the Qwen3.5 2B 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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