What are the hardware requirements for NemotronH 0.3B A0.3B?

NemotronH 0.3B A0.3B requires approximately 0.7 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed NemotronH 0.3B A0.3B and how large is it?

NemotronH 0.3B A0.3B is developed by inference-optimization, a model with 550b 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 NemotronH 0.3B A0.3B?

NemotronH 0.3B A0.3B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

NemotronH 0.3B A0.3B by inference-optimization — VRAM 0.7GB, 256K context

Name: NemotronH 0.3B A0.3B
Author: inference-optimization

NemotronH 0.3B A0.3B is an open-source language model by inference-optimization. Features: 550b LLM, VRAM: 0.7GB, Context: 256K, License: mit, LLM Explorer Score: 0.33.

Base model:finetune:nvidia/nvi... Base model:nvidia/nvidia-nemot... Endpoints compatible Nemotron h Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/inference-optimization/NemotronH-0.3B-A0.3B

NemotronH 0.3B A0.3B Parameters and Internals

LLM Name	NemotronH 0.3B A0.3B
Repository 🤗	https://huggingface.co/inference-optimization/NemotronH-0.3B-A0.3B
Base Model(s)	...on 3 Ultra 550B A55B Base BF16 nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-Base-BF16
Model Size	550b
Required VRAM	0.7 GB
Updated	2026-09-16
Maintainer	inference-optimization
Model Type	nemotron_h
Model Files	0.7 GB
Model Architecture	NemotronHForCausalLM
License	mit
Context Length	262144
Model Max Length	262144
Transformers Version	5.17.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|im_end\|>
Vocabulary Size	131072

Rank the NemotronH 0.3B A0.3B 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 NemotronH 0.3B A0.3B

Best Alternatives	Context / RAM	Downloads	Likes
...motron 3 Ultra 550B A55B NVFP4	256K / 63.1 GB	240041	277
...emotron 3 Ultra 550B A55B BF16	256K / 204.9 GB	493863	308
...motron 3 Ultra 550B A55B NVFP4	256K / 63.1 GB	103	5
Nemotron 3 Labs Ultra Math SFT	256K / 85.9 GB	510	4
Nemotron 3 Labs Ultra Math RL	256K / 204.9 GB	374	3
...motron 3 Ultra 550B A55B GenRM	256K / 219.9 GB	2666	11
...on 3 Ultra 550B A55B Base BF16	256K / 209.9 GB	1005	29
Nemotron 3 Ultra 550B A55B	256K / 144.3 GB	473	2
...emotron 3 Ultra 550B A55B Base	256K / 209.9 GB	23	2
...DIA Nemotron 3 Ultra 550B A55B	256K / 204.9 GB	19	1

Note: green Score (e.g. "73.2") means that the model is better than inference-optimization/NemotronH-0.3B-A0.3B.