What are the hardware requirements for Nemotron H 4B Base 8K?

Nemotron H 4B Base 8K requires approximately 9 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Nemotron H 4B Base 8K and how large is it?

Nemotron H 4B Base 8K is developed by nvidia, 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 Nemotron H 4B Base 8K?

Nemotron H 4B Base 8K is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Nemotron H 4B Base 8K by nvidia — VRAM 9GB, 8K context

Name: Nemotron H 4B Base 8K
Author: nvidia

Nemotron H 4B Base 8K is an open-source language model by nvidia. Features: 4b LLM, VRAM: 9GB, Context: 8K, License: other, LLM Explorer Score: 0.2.

Arxiv:2504.11409 En Endpoints compatible Ext 8k Nvidia Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/nvidia/Nemotron-H-4B-Base-8K

Nemotron H 4B Base 8K Parameters and Internals

LLM Name	Nemotron H 4B Base 8K
Repository 🤗	https://huggingface.co/nvidia/Nemotron-H-4B-Base-8K
Model Size	4b
Required VRAM	9 GB
Updated	2026-08-04
Maintainer	nvidia
Model Type	nemotron_h
Model Files	5.0 GB: 1-of-2 4.0 GB: 2-of-2
Supported Languages	en
Context Length	8k
Model Architecture	NemotronHForCausalLM
License	other
Context Length	8192
Model Max Length	8192
Transformers Version	4.48.0.dev0
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Nemotron H 4B Base 8K 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 Nemotron H 4B Base 8K

Best Alternatives	Context / RAM	Downloads	Likes
NVIDIA Nemotron 3 Nano 4B FP8	256K / 5.3 GB	83285	27
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 3 Nano 4B OptiQ 4bit	256K / 3.1 GB	855	3
NVIDIA Nemotron 3 Nano 4B 4bit	256K / 2.2 GB	445	2
NVIDIA Nemotron 3 Nano 4B 6bit	256K / 3.2 GB	47	1

Note: green Score (e.g. "73.2") means that the model is better than nvidia/Nemotron-H-4B-Base-8K.