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Qwen3 32B Textbookreasoning UGPhysics AoPsInstruct Sft by LLMcompe-Team-Watanabe

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Qwen3 32B Textbookreasoning UGPhysics AoPsInstruct Sft is an open-source language model by LLMcompe-Team-Watanabe. Features: 32b LLM, VRAM: 131.7GB, Context: 40K, LLM Explorer Score: 0.2.

  Qwen3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/LLMcompe-Team-Watanabe/Qwen3-32B-textbookreasoning-UGPhysics-AoPsInstruct-sft 

Qwen3 32B Textbookreasoning UGPhysics AoPsInstruct Sft Benchmarks

LLME Score: 0.19628
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 32B Textbookreasoning UGPhysics AoPsInstruct Sft (LLMcompe-Team-Watanabe/Qwen3-32B-textbookreasoning-UGPhysics-AoPsInstruct-sft)

Qwen3 32B Textbookreasoning UGPhysics AoPsInstruct Sft Parameters and Internals

LLM NameQwen3 32B Textbookreasoning UGPhysics AoPsInstruct Sft
Repository 🤗https://huggingface.co/LLMcompe-Team-Watanabe/Qwen3-32B-textbookreasoning-UGPhysics-AoPsInstruct-sft 
Model Size32b
Required VRAM131.7 GB
Updated2026-07-21
MaintainerLLMcompe-Team-Watanabe
Model Typeqwen3
Model Files  9.9 GB: 1-of-14   9.8 GB: 2-of-14   9.8 GB: 3-of-14   9.8 GB: 4-of-14   9.8 GB: 5-of-14   9.8 GB: 6-of-14   9.8 GB: 7-of-14   9.8 GB: 8-of-14   9.8 GB: 9-of-14   9.8 GB: 10-of-14   9.8 GB: 11-of-14   9.8 GB: 12-of-14   9.8 GB: 13-of-14   4.2 GB: 14-of-14
Model ArchitectureQwen3ForCausalLM
Context Length40960
Model Max Length40960
Transformers Version4.51.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat32
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than LLMcompe-Team-Watanabe/Qwen3-32B-textbookreasoning-UGPhysics-AoPsInstruct-sft.

Rank the Qwen3 32B Textbookreasoning UGPhysics AoPsInstruct Sft 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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