What are the hardware requirements for OpenCodeReasoning Nemotron 1.1 32B?

OpenCodeReasoning Nemotron 1.1 32B requires approximately 65.8 GB of VRAM and supports a context window of 64K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed OpenCodeReasoning Nemotron 1.1 32B and how large is it?

OpenCodeReasoning Nemotron 1.1 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 OpenCodeReasoning Nemotron 1.1 32B?

OpenCodeReasoning Nemotron 1.1 32B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

OpenCodeReasoning Nemotron 1.1 32B by nvidia — VRAM 65.8GB, 64K context

Name: OpenCodeReasoning Nemotron 1.1 32B
Author: nvidia

OpenCodeReasoning Nemotron 1.1 32B is an open-source language model by nvidia. Features: 32b LLM, VRAM: 65.8GB, Context: 64K, Instruction-Based, LLM Explorer Score: 0.19.

Arxiv:2504.01943 Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-32b-in... Code Conversational Dataset:nvidia/opencodereasoni... Deploy:azure En Endpoints compatible Instruct Nvidia Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/nvidia/OpenCodeReasoning-Nemotron-1.1-32B

OpenCodeReasoning Nemotron 1.1 32B Parameters and Internals

LLM Name	OpenCodeReasoning Nemotron 1.1 32B
Repository 🤗	https://huggingface.co/nvidia/OpenCodeReasoning-Nemotron-1.1-32B
Base Model(s)	Qwen/Qwen2.5-32B-Instruct Qwen/Qwen2.5-32B-Instruct
Model Size	32b
Required VRAM	65.8 GB
Updated	2026-07-19
Maintainer	nvidia
Model Type	qwen2
Instruction-Based	Yes
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
Context Length	65536
Model Max Length	65536
Transformers Version	4.47.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the OpenCodeReasoning Nemotron 1.1 32B 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

Best Alternatives to OpenCodeReasoning Nemotron 1.1 32B

Best Alternatives	Context / RAM	Downloads	Likes
...y Qwen2.5coder 32B V24.1q 200K	195K / 65.8 GB	9	2
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	19	17
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	17	4
Franqwenstein 35B	128K / 69.8 GB	5	8
ELYZA Thinking 1.0 Qwen 32B	128K / 65.8 GB	23	10
Archaeo 32B KTO	128K / 65.8 GB	14	4
Hamanasu Magnum QwQ 32B	128K / 65.8 GB	295	9
Qwen2.5 32B Gokgok Step3	128K / 65.7 GB	6	0
Openthaigpt R1 32B Instruct	128K / 65.8 GB	33	8
Qwen2.5 32B Dark Days Stage2	128K / 65.8 GB	9	0

Note: green Score (e.g. "73.2") means that the model is better than nvidia/OpenCodeReasoning-Nemotron-1.1-32B.