What are the hardware requirements for OpenMath Nemotron 32B?

OpenMath Nemotron 32B requires approximately 65.8 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed OpenMath Nemotron 32B and how large is it?

OpenMath Nemotron 32B 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 OpenMath Nemotron 32B?

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

OpenMath Nemotron 32B by nvidia — VRAM 65.8GB, 128K context

Name: OpenMath Nemotron 32B
Author: nvidia

OpenMath Nemotron 32B is an open-source language model by nvidia. Features: 32b LLM, VRAM: 65.8GB, Context: 128K, License: cc-by-4.0, LLM Explorer Score: 0.18.

Arxiv:2504.16891 Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-32b Conversational Dataset:nvidia/openmathreasoni... En Endpoints compatible Math Nvidia Qwen2 Region:us Safetensors Sharded Tensorflow

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

OpenMath Nemotron 32B Parameters and Internals

LLM Name	OpenMath Nemotron 32B
Repository 🤗	https://huggingface.co/nvidia/OpenMath-Nemotron-32B
Base Model(s)	Qwen/Qwen2.5-32B Qwen/Qwen2.5-32B
Model Size	32b
Required VRAM	65.8 GB
Updated	2026-07-22
Maintainer	nvidia
Model Type	qwen2
Model Files	9.8 GB: 1-of-7 9.8 GB: 2-of-7 9.8 GB: 3-of-7 9.8 GB: 4-of-7 9.8 GB: 5-of-7 9.8 GB: 6-of-7 7.0 GB: 7-of-7
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	cc-by-4.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.47.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the OpenMath Nemotron 32B capabilities

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Best Alternatives to OpenMath Nemotron 32B

Best Alternatives	Context / RAM	Downloads	Likes
Openbuddy Qwq 32B V24.2 200K	195K / 65.8 GB	9	3
Openbuddy Qwq 32B V24.1 200K	195K / 65.8 GB	10	3
Openbuddy Qwq 32B V25.2q 200K	195K / 65.8 GB	1	4
...y Qwen2.5coder 32B V24.1q 200K	195K / 65.8 GB	9	2
DeepSeek R1 Distill Qwen 32B	128K / 65.7 GB	841633	1584
Qwen2.5 32B	128K / 65.5 GB	49206	180
RomboUltima 32B	128K / 20.7 GB	12	6
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	28	17
Ultiima 32B	128K / 65.8 GB	11	7
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	22	4

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