What are the hardware requirements for Nemotron Content Safety Reasoning 4B?

Nemotron Content Safety Reasoning 4B requires approximately 10 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Nemotron Content Safety Reasoning 4B and how large is it?

Nemotron Content Safety Reasoning 4B 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 Content Safety Reasoning 4B?

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

Nemotron Content Safety Reasoning 4B by nvidia — VRAM 10GB

Name: Nemotron Content Safety Reasoning 4B
Author: nvidia

Nemotron Content Safety Reasoning 4B is an open-source language model by nvidia. Features: 4b LLM, VRAM: 10GB, License: other, LLM Explorer Score: 0.26.

Arxiv:2505.20087 Base model:finetune:google/gem... Base model:google/gemma-3-4b-i... Content safety Conversational Custom policy Dataset:nvidia/nemotron-conten... Dialogue agents Dialogue moderation En Endpoints compatible Guardrail Llm safety Region:us Safetensors Sharded Tensorflow Topical moderation

Model Card on HF 🤗: https://huggingface.co/nvidia/Nemotron-Content-Safety-Reasoning-4B

Nemotron Content Safety Reasoning 4B Parameters and Internals

LLM Name	Nemotron Content Safety Reasoning 4B
Repository 🤗	https://huggingface.co/nvidia/Nemotron-Content-Safety-Reasoning-4B
Base Model(s)	Gemma 3 4B It google/gemma-3-4b-it
Model Size	4b
Required VRAM	10 GB
Updated	2026-07-23
Maintainer	nvidia
Model Type	gemma3
Model Files	5.0 GB: 1-of-2 5.0 GB: 2-of-2 0.0 GB 0.0 GB
Supported Languages	en
Model Architecture	Gemma3ForConditionalGeneration
License	other
Transformers Version	4.57.1
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Nemotron Content Safety Reasoning 4B 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 Content Safety Reasoning 4B

Best Alternatives	Context / RAM	Downloads	Likes
Medgemma 4B It Abliterated	128K / 6.3 GB	13	6
Gemma 3 Glitter 4B	128K / 8.6 GB	334	7
Fallen Gemma3 4B V1	128K / 8.6 GB	13	18
Gemma 3 4B It	0K / 8.6 GB	1855262	1345
Gemma 3 4B It	0K / 8.6 GB	62743	28
Translategemma 4B It	0K / 8.6 GB	38998	793
...rblock5 Gemma 3 4B It Seed1010	0K / 8.6 GB	85	1
...Gptmini Gemma 3 4B It Seed1010	0K / 8.6 GB	21	1
...block35 Gemma 3 4B It Seed1010	0K / 8.6 GB	17	1
Nemotron 3 Content Safety	0K / 8.6 GB	1706	18

Note: green Score (e.g. "73.2") means that the model is better than nvidia/Nemotron-Content-Safety-Reasoning-4B.