What are the hardware requirements for NVIDIA Nemotron 3.5 Lightning 30B A3B 4bit?

NVIDIA Nemotron 3.5 Lightning 30B A3B 4bit requires approximately 17.8 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 NVIDIA Nemotron 3.5 Lightning 30B A3B 4bit and how large is it?

NVIDIA Nemotron 3.5 Lightning 30B A3B 4bit is developed by mlx-community, a model with 30b 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 NVIDIA Nemotron 3.5 Lightning 30B A3B 4bit?

NVIDIA Nemotron 3.5 Lightning 30B A3B 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

NVIDIA Nemotron 3.5 Lightning 30B A3B 4bit by mlx-community — VRAM 17.8GB, 256K context

Name: NVIDIA Nemotron 3.5 Lightning 30B A3B 4bit
Author: mlx-community

NVIDIA Nemotron 3.5 Lightning 30B A3B 4bit is an open-source language model by mlx-community. Features: 30b LLM, VRAM: 17.8GB, Context: 256K, License: other, Quantized, LLM Explorer Score: 0.35.

4-bit 4bit Base model:nvidia/nvidia-nemot... Base model:quantized:nvidia/nv... Conversational Dataset:nvidia/nemotron-post-t... Dataset:nvidia/nemotron-pre-tr... De En Es Fr It Ja Mlx Nemotron-3.5 Nemotron h Nvidia Pytorch Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlx-community/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-4bit

NVIDIA Nemotron 3.5 Lightning 30B A3B 4bit Parameters and Internals

LLM Name	NVIDIA Nemotron 3.5 Lightning 30B A3B 4bit
Repository 🤗	https://huggingface.co/mlx-community/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-4bit
Base Model(s)	nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16 nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16
Model Size	30b
Required VRAM	17.8 GB
Updated	2026-08-14
Maintainer	mlx-community
Model Type	nemotron_h
Model Files	5.1 GB: 1-of-4 5.3 GB: 2-of-4 5.3 GB: 3-of-4 2.1 GB: 4-of-4
Supported Languages	en es fr de it ja
Quantization Type	4bit
Model Architecture	NemotronHForCausalLM
License	other
Context Length	262144
Model Max Length	262144
Transformers Version	4.57.6
Tokenizer Class	TokenizersBackend
Padding Token	<\|im_end\|>
Vocabulary Size	131072

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