Nemotron-Labs-Diffusion-8B-Base
nvidiaothertext

Nemotron-Labs-Diffusion-8B-Base

Updated Nov 9, 2026
Parameters
8.5B
Context
4,096
License
other
Updated
Nov 9, 2026

Will it run on your hardware?

Pick your GPU memory - see which quantizations fit, and the cheapest card for the rest

Runs on your 24 GB - best at FP16
4 of 4 quantizations fit Nemotron-Labs-Diffusion-8B-Base with real runtime overhead.
Q4_K_M
5 GB
Q5_K_M
6 GB
Q8_0
9 GB
FP16
17 GB
fits tight too big

Need an exact figure for your context length? Use the VRAM calculator.

Run it locally

Copy-paste - running in under a minute

vLLMOpenAI-compatible API
vllm serve nvidia/Nemotron-Labs-Diffusion-8B-Base

New to this? Start with Ollama · serve to many users with vLLM.

Deep dive

Notes, sources, and the full write-up

Nemotron-Labs-Diffusion-8B-Base is a 8.5B-parameter other model from nvidia. At Q4_K_M it needs roughly 5 GB of VRAM, placing it in the 8–12 GB GPU hardware tier.

PopularityLink to this section

Nemotron-Labs-Diffusion-8B-Base has 531,315 downloads in the last month on HuggingFace and 6 likes.

Frequently asked

Quick answers to common questions

How much VRAM does Nemotron-Labs-Diffusion-8B-Base need?

Nemotron-Labs-Diffusion-8B-Base with 8.5B parameters needs approximately 5 GB at Q4_K_M quantization. Use our VRAM calculator for an exact estimate.

Is Nemotron-Labs-Diffusion-8B-Base better than other nvidia models?

Nemotron-Labs-Diffusion-8B-Base has 8.5B parameters with 4,096 context - a strong choice for general use.

What license is Nemotron-Labs-Diffusion-8B-Base under?

Nemotron-Labs-Diffusion-8B-Base is released under the other license, making it suitable for most commercial and personal projects.

What hardware runs Nemotron-Labs-Diffusion-8B-Base well?

With 8.5B parameters, Nemotron-Labs-Diffusion-8B-Base requires adequate VRAM. High-end GPUs like the RTX 4090 (24GB), RTX 5090 (32GB), or Mac Studio with unified memory are good options. Check our hardware directory for specific recommendations.

What is the best quantization for Nemotron-Labs-Diffusion-8B-Base?

Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Q5_K_M (~6 GB) is an option if you have spare VRAM. Use our VRAM calculator to compare.

What models compete with Nemotron-Labs-Diffusion-8B-Base?

Nemotron-Labs-Diffusion-8B-Base competes with other models in its class. Browse our model directory for comparisons, benchmarks, and community reviews to find the best fit.

Nearby options

Similar models and compatible hardware by spec