What are the hardware requirements for H2o Lightning 4B Nemotron Nano?

H2o Lightning 4B Nemotron Nano requires approximately 8 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 H2o Lightning 4B Nemotron Nano and how large is it?

H2o Lightning 4B Nemotron Nano is developed by h2oai, a model with 4b 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 H2o Lightning 4B Nemotron Nano?

H2o Lightning 4B Nemotron Nano is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

H2o Lightning 4B Nemotron Nano by h2oai — VRAM 8GB, 256K context

Name: H2o Lightning 4B Nemotron Nano
Author: h2oai

H2o Lightning 4B Nemotron Nano is an open-source language model by h2oai. Features: 4b LLM, VRAM: 8GB, Context: 256K, License: other, LLM Explorer Score: 0.32.

Base model:finetune:nvidia/nvi... Base model:nvidia/nvidia-nemot... Calibration Conversational Custom code Decision-making Endpoints compatible Jevbench Nemotron Nemotron h Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/h2oai/h2o-lightning-4b-nemotron-nano

H2o Lightning 4B Nemotron Nano Parameters and Internals

LLM Name	H2o Lightning 4B Nemotron Nano
Repository 🤗	https://huggingface.co/h2oai/h2o-lightning-4b-nemotron-nano
Base Model(s)	NVIDIA Nemotron 3 Nano 4B BF16 nvidia/NVIDIA-Nemotron-3-Nano-4B-BF16
Model Size	4b
Required VRAM	8 GB
Updated	2026-10-13
Maintainer	h2oai
Model Type	nemotron_h
Model Files	8.0 GB
Model Architecture	NemotronHForCausalLM
License	other
Context Length	262144
Model Max Length	262144
Transformers Version	4.53.0
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the H2o Lightning 4B Nemotron Nano 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 H2o Lightning 4B Nemotron Nano

Best Alternatives	Context / RAM	Downloads	Likes
...oppen Gen4k Ep2 Ncp5 N3nc Vs16	256K / 8 GB	2477	1
...ppen Gen4k Ep2 Ncp5 N3nc Iid16	256K / 8 GB	2447	1
...oppen Gen4k Ep2 Ncp5 N3nc Base	256K / 8 GB	2231	1
NVIDIA Nemotron 3 Nano 4B FP8	256K / 5.3 GB	83285	27
... Nano 4B 8K Grpo Hardyman S300	256K / 15.9 GB	338	1
NVIDIA Nemotron 3 Nano 4B	256K / 8 GB	4851	16
NVIDIA Nemotron 3 Nano 4B FP8	256K / 10.6 GB	343	5
NVIDIA Nemotron 3 Nano 4B BF16	256K / 7.9 GB	131	2
Nemotron H 4B Instruct 128K	128K / 9 GB	1686	10
Nemotron H 4B Base 8K	8K / 9 GB	3439	7

Note: green Score (e.g. "73.2") means that the model is better than h2oai/h2o-lightning-4b-nemotron-nano.