What are the hardware requirements for Qwen3 32B Textbookreasoning UGPhysics Sft?

Qwen3 32B Textbookreasoning UGPhysics Sft requires approximately 131.7 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 32B Textbookreasoning UGPhysics Sft and how large is it?

Qwen3 32B Textbookreasoning UGPhysics Sft is developed by LLMcompe-Team-Watanabe, a model with 32b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Qwen3 32B Textbookreasoning UGPhysics Sft?

Qwen3 32B Textbookreasoning UGPhysics Sft is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 32B Textbookreasoning UGPhysics Sft by LLMcompe-Team-Watanabe — VRAM 131.7GB, 40K context

Name: Qwen3 32B Textbookreasoning UGPhysics Sft
Author: LLMcompe-Team-Watanabe

Qwen3 32B Textbookreasoning UGPhysics 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-sft

Qwen3 32B Textbookreasoning UGPhysics Sft Parameters and Internals

LLM Name	Qwen3 32B Textbookreasoning UGPhysics Sft
Repository 🤗	https://huggingface.co/LLMcompe-Team-Watanabe/Qwen3-32B-textbookreasoning-UGPhysics-sft
Model Size	32b
Required VRAM	131.7 GB
Updated	2025-12-13
Maintainer	LLMcompe-Team-Watanabe
Model Type	qwen3
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 Architecture	Qwen3ForCausalLM
Context Length	40960
Model Max Length	40960
Transformers Version	4.51.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	float32
Errors	replace

Rank the Qwen3 32B Textbookreasoning UGPhysics Sft capabilities

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Instruction Following and Task Automation
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Data Analysis and Insight Generation
Text Generation
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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-sft.