What are the hardware requirements for Nemotron Cascade 2 30B A3B?

Nemotron Cascade 2 30B A3B requires approximately 63.2 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 Nemotron Cascade 2 30B A3B and how large is it?

Nemotron Cascade 2 30B A3B is developed by nvidia, 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 Nemotron Cascade 2 30B A3B?

Nemotron Cascade 2 30B A3B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Nemotron Cascade 2 30B A3B by nvidia — VRAM 63.2GB, 256K context

Name: Nemotron Cascade 2 30B A3B
Author: nvidia

Nemotron Cascade 2 30B A3B is an open-source language model by nvidia. Features: 30b LLM, VRAM: 63.2GB, Context: 256K, License: other, LLM Explorer Score: 0.37.

Arxiv:2603.19220 Conversational Custom code Deploy:azure En Endpoints compatible Eval-results General-purpose Nemotron-cascade-2 Nemotron h Nvidia Reasoning Region:us Rl Safetensors Sft Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/nvidia/Nemotron-Cascade-2-30B-A3B

Nemotron Cascade 2 30B A3B Parameters and Internals

LLM Name	Nemotron Cascade 2 30B A3B
Repository 🤗	https://huggingface.co/nvidia/Nemotron-Cascade-2-30B-A3B
Model Size	30b
Required VRAM	63.2 GB
Updated	2026-07-26
Maintainer	nvidia
Model Type	nemotron_h
Model Files	5.0 GB: 1-of-13 5.0 GB: 2-of-13 5.0 GB: 3-of-13 5.0 GB: 4-of-13 5.0 GB: 5-of-13 5.0 GB: 6-of-13 5.0 GB: 7-of-13 5.0 GB: 8-of-13 5.0 GB: 9-of-13 5.0 GB: 10-of-13 5.0 GB: 11-of-13 5.0 GB: 12-of-13 3.2 GB: 13-of-13
Supported Languages	en
Model Architecture	NemotronHForCausalLM
License	other
Context Length	262144
Model Max Length	262144
Transformers Version	4.55.4
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|im_end\|>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Nemotron Cascade 2 30B A3B 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

Quantized Models of the Nemotron Cascade 2 30B A3B

Model	Likes	Downloads	VRAM
...emotron Cascade 2 30B A3B 4bit	19	843	17 GB
...emotron Cascade 2 30B A3B 8bit	8	279	33 GB
...emotron Cascade 2 30B A3B 6bit	6	271	25 GB
...ron Cascade 2 30B A3B Mlx 6bit	3	98	27 GB
...emotron Cascade 2 30B A3B 5bit	1	20	21 GB

Best Alternatives to Nemotron Cascade 2 30B A3B

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
... Nemotron 3 Nano 30B A3B NVFP4	256K / 19.3 GB	1568	8
...ron 3.5 Lightning 30B A3B BF16	256K / 65.9 GB	15740	62
...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
...otron 3 Nano 30B A3B Base BF16	256K / 63.2 GB	90736	127

Note: green Score (e.g. "73.2") means that the model is better than nvidia/Nemotron-Cascade-2-30B-A3B.