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Qwen3 32B Merge Stem by LLMcompe-Team-Watanabe

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  Merged Model   Arxiv:2311.03099   Autotrain compatible Base model:llmcompe-team-watan... Base model:llmcompe-team-watan... Base model:llmcompe-team-watan...   Base model:qwen/qwen3-32b   Conversational   Endpoints compatible   Qwen3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/LLMcompe-Team-Watanabe/Qwen3-32B-merge-stem 

Qwen3 32B Merge Stem Benchmarks

LLME Score: 0.27262
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 32B Merge Stem (LLMcompe-Team-Watanabe/Qwen3-32B-merge-stem)
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Qwen3 32B Merge Stem Parameters and Internals

LLM NameQwen3 32B Merge Stem
Repository 🤗https://huggingface.co/LLMcompe-Team-Watanabe/Qwen3-32B-merge-stem 
Base Model(s)  ...Engineering 45K 1ep Lr5e6 4096   ...extbookreasoning UGPhysics Sft   ...sics AoPsInstruct Sft Med Grpo   ...wen3 32B Openmathreasoning Sft   Qwen3 32B   LLMcompe-Team-Watanabe/Qwen3-32B-sft-HIS-Chem-Engineering-45k-1ep-lr5e6-4096   LLMcompe-Team-Watanabe/Qwen3-32B-textbookreasoning-UGPhysics-sft   LLMcompe-Team-Watanabe/Qwen3-32B-textbookreasoning-UGPhysics-AoPsInstruct-sft-med-grpo   LLMcompe-Team-Watanabe/Qwen3-32B-openmathreasoning-sft   Qwen/Qwen3-32B
Merged ModelYes
Model Size32b
Required VRAM65.8 GB
Updated2025-08-24
MaintainerLLMcompe-Team-Watanabe
Model Typeqwen3
Model Files  5.0 GB: 1-of-14   5.0 GB: 2-of-14   4.9 GB: 3-of-14   4.9 GB: 4-of-14   4.9 GB: 5-of-14   4.9 GB: 6-of-14   4.9 GB: 7-of-14   4.9 GB: 8-of-14   4.9 GB: 9-of-14   4.9 GB: 10-of-14   4.9 GB: 11-of-14   4.9 GB: 12-of-14   4.9 GB: 13-of-14   1.9 GB: 14-of-14
Model ArchitectureQwen3ForCausalLM
Context Length40960
Model Max Length40960
Transformers Version4.52.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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MiroThinker 32B SFT V0.140K / 65.6 GB97415
Note: green Score (e.g. "73.2") means that the model is better than LLMcompe-Team-Watanabe/Qwen3-32B-merge-stem.

Rank the Qwen3 32B Merge Stem 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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Release v20241124
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