What are the hardware requirements for Qwen3 Nemotron 32B GenRM Principle?

Qwen3 Nemotron 32B GenRM Principle requires approximately 65.8 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 Nemotron 32B GenRM Principle and how large is it?

Qwen3 Nemotron 32B GenRM Principle is developed by nvidia, 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 Nemotron 32B GenRM Principle?

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

Qwen3 Nemotron 32B GenRM Principle by nvidia — VRAM 65.8GB, 40K context

Name: Qwen3 Nemotron 32B GenRM Principle
Author: nvidia

Qwen3 Nemotron 32B GenRM Principle is an open-source language model by nvidia. Features: 32b LLM, VRAM: 65.8GB, Context: 40K, License: other, LLM Explorer Score: 0.23.

Arxiv:2310.05344 Arxiv:2311.09528 Arxiv:2406.08673 Arxiv:2410.01257 Arxiv:2410.16184 Arxiv:2503.04378 Arxiv:2505.11475 Arxiv:2509.21319 Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-32b Conversational Dataset:nvidia/helpsteer3 En Nvidia Qwen3 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/nvidia/Qwen3-Nemotron-32B-GenRM-Principle

Qwen3 Nemotron 32B GenRM Principle Parameters and Internals

LLM Name	Qwen3 Nemotron 32B GenRM Principle
Repository 🤗	https://huggingface.co/nvidia/Qwen3-Nemotron-32B-GenRM-Principle
Base Model(s)	Qwen3 32B Qwen/Qwen3-32B
Model Size	32b
Required VRAM	65.8 GB
Updated	2026-08-04
Maintainer	nvidia
Model Type	qwen3
Model Files	4.9 GB: 1-of-14 4.9 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 2.1 GB: 14-of-14
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	other
Context Length	40960
Model Max Length	40960
Transformers Version	4.51.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen3 Nemotron 32B GenRM Principle capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to Qwen3 Nemotron 32B GenRM Principle

Best Alternatives	Context / RAM	Downloads	Likes
...ll Qwen3 32B Preview7 QAT 200K	195K / 65.8 GB	10	3
...ll Qwen3 32B Preview6 QAT 200K	195K / 65.8 GB	6	2
...ll Qwen3 32B Preview4 QAT 200K	195K / 65.8 GB	13	2
Qwen3 32B AWorld	128K / 65.8 GB	37	15
Qwen3 32B	40K / 65.8 GB	5411	15
Qwen3 32B	40K / 65.6 GB	6155624	715
OpenThinkerAgent 32B	40K / 65.8 GB	9022	9
Qwen3 Swallow 32B SFT V0.2	40K / 65.6 GB	24411	0
...gy GPT Regulatorio 32B Safe V2	40K / 131.6 GB	205	0
Qwen3 Swallow 32B RL V0.2	40K / 65.1 GB	10347	3

Note: green Score (e.g. "73.2") means that the model is better than nvidia/Qwen3-Nemotron-32B-GenRM-Principle.