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Qwen3 32B Sft HIS Chem Engineering 45K 1ep Lr5e6 4096 by LLMcompe-Team-Watanabe

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  Qwen3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/LLMcompe-Team-Watanabe/Qwen3-32B-sft-HIS-Chem-Engineering-45k-1ep-lr5e6-4096 

Qwen3 32B Sft HIS Chem Engineering 45K 1ep Lr5e6 4096 Benchmarks

LLME Score: 0.25122
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 32B Sft HIS Chem Engineering 45K 1ep Lr5e6 4096 (LLMcompe-Team-Watanabe/Qwen3-32B-sft-HIS-Chem-Engineering-45k-1ep-lr5e6-4096)
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Qwen3 32B Sft HIS Chem Engineering 45K 1ep Lr5e6 4096 Parameters and Internals

LLM NameQwen3 32B Sft HIS Chem Engineering 45K 1ep Lr5e6 4096
Repository 🤗https://huggingface.co/LLMcompe-Team-Watanabe/Qwen3-32B-sft-HIS-Chem-Engineering-45k-1ep-lr5e6-4096 
Model Size32b
Required VRAM131.6 GB
Updated2025-09-20
MaintainerLLMcompe-Team-Watanabe
Model Typeqwen3
Model Files  4.5 GB: 1-of-27   4.8 GB: 2-of-27   5.0 GB: 3-of-27   4.8 GB: 4-of-27   5.0 GB: 5-of-27   4.8 GB: 6-of-27   5.0 GB: 7-of-27   4.8 GB: 8-of-27   5.0 GB: 9-of-27   4.8 GB: 10-of-27   5.0 GB: 11-of-27   4.8 GB: 12-of-27   5.0 GB: 13-of-27   4.8 GB: 14-of-27   5.0 GB: 15-of-27   4.8 GB: 16-of-27   5.0 GB: 17-of-27   4.8 GB: 18-of-27   5.0 GB: 19-of-27   4.8 GB: 20-of-27   5.0 GB: 21-of-27   4.8 GB: 22-of-27   5.0 GB: 23-of-27   4.8 GB: 24-of-27   5.0 GB: 25-of-27   4.8 GB: 26-of-27   4.7 GB: 27-of-27
Model ArchitectureQwen3ForCausalLM
Context Length40960
Model Max Length40960
Transformers Version4.55.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than LLMcompe-Team-Watanabe/Qwen3-32B-sft-HIS-Chem-Engineering-45k-1ep-lr5e6-4096.

Rank the Qwen3 32B Sft HIS Chem Engineering 45K 1ep Lr5e6 4096 Capabilities

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Instruction Following and Task Automation  
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