What are the hardware requirements for NVIDIA Nemotron 3.5 Lightning 30B A3B FP8?

NVIDIA Nemotron 3.5 Lightning 30B A3B FP8 requires approximately 32.3 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 FP8 and how large is it?

NVIDIA Nemotron 3.5 Lightning 30B A3B FP8 is developed by RedHatAI, 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 FP8?

NVIDIA Nemotron 3.5 Lightning 30B A3B FP8 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 FP8 by RedHatAI — VRAM 32.3GB, 256K context

Name: NVIDIA Nemotron 3.5 Lightning 30B A3B FP8
Author: RedHatAI

NVIDIA Nemotron 3.5 Lightning 30B A3B FP8 is an open-source language model by RedHatAI. Features: 30b LLM, VRAM: 32.3GB, Context: 256K, LLM Explorer Score: 0.28.

Base model:nvidia/nvidia-nemot... Base model:quantized:nvidia/nv... Compressed-tensors Conversational Endpoints compatible Fp8 Llm-compressor Nemotron-3.5 Nemotron h Region:us Safetensors Sharded Tensorflow Vllm

Model Card on HF 🤗: https://huggingface.co/RedHatAI/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-FP8

NVIDIA Nemotron 3.5 Lightning 30B A3B FP8 Parameters and Internals

LLM Name	NVIDIA Nemotron 3.5 Lightning 30B A3B FP8
Repository 🤗	https://huggingface.co/RedHatAI/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-FP8
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	32.3 GB
Updated	2026-08-14
Maintainer	RedHatAI
Model Type	nemotron_h
Model Files	20.0 GB: 1-of-2 12.3 GB: 2-of-2
Model Architecture	NemotronHForCausalLM
Context Length	262144
Model Max Length	262144
Transformers Version	5.15.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|im_end\|>
Vocabulary Size	131072

Rank the NVIDIA Nemotron 3.5 Lightning 30B A3B FP8 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 NVIDIA Nemotron 3.5 Lightning 30B A3B FP8

Best Alternatives	Context / RAM	Downloads	Likes
...on 3.5 Lightning 30B A3B NVFP4	1024K / 12.6 GB	19250	100
...30B A3B NVFP4 Global Pruned 15	1024K / 11 GB	148	19
...A Nemotron 3 Nano 30B A3B BF16	256K / 63.2 GB	1645889	752
...ron 3.5 Lightning 30B A3B BF16	256K / 65.9 GB	15740	62
... Nemotron 3 Nano 30B A3B NVFP4	256K / 19.3 GB	1568	8
Nemotron Cascade 2 30B A3B	256K / 63.2 GB	88240	518
...IA Nemotron 3 Nano 30B A3B FP8	256K / 32.7 GB	566152	356
... Nemotron 3 Nano 30B A3B NVFP4	256K / 19.3 GB	765499	174
...Nemotron 3.5 Lightning 30B A3B	256K / 65.9 GB	474	4
....5 Lightning 30B A3B Base BF16	256K / 65.9 GB	336	12

Note: green Score (e.g. "73.2") means that the model is better than RedHatAI/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-FP8.