What are the hardware requirements for Nemotron Labs Diffusion 14B?

Nemotron Labs Diffusion 14B requires approximately 27 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 Labs Diffusion 14B and how large is it?

Nemotron Labs Diffusion 14B is developed by nvidia, a model with 14b 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 Labs Diffusion 14B?

Nemotron Labs Diffusion 14B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Nemotron Labs Diffusion 14B by nvidia — VRAM 27GB, 256K context

Name: Nemotron Labs Diffusion 14B
Author: nvidia

Nemotron Labs Diffusion 14B is an open-source language model by nvidia. Features: 14b LLM, VRAM: 27GB, Context: 256K, License: other, LLM Explorer Score: 0.32.

Conversational Custom code Feature-extraction Nemotron labs diffusion Nvidia Pytorch Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/nvidia/Nemotron-Labs-Diffusion-14B

Nemotron Labs Diffusion 14B Parameters and Internals

LLM Name	Nemotron Labs Diffusion 14B
Repository 🤗	https://huggingface.co/nvidia/Nemotron-Labs-Diffusion-14B
Model Size	14b
Required VRAM	27 GB
Updated	2026-07-26
Maintainer	nvidia
Model Type	nemotron_labs_diffusion
Model Files	27.0 GB
Model Architecture	NemotronLabsDiffusionModel
License	other
Context Length	262144
Model Max Length	262144
Transformers Version	5.0.0
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Nemotron Labs Diffusion 14B capabilities

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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

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