NVIDIA-Nemotron-3.5-Bolt-E4B-Heretic-Uncensored-Turbo-Brilliance-50x-INST-R-NEO-GGUF

by DavidAU

Task
Vision-language (image + text to text)
Category
Image
License
Apache 2.0
Commercial use
Yes
Permissive license: commercial use is allowed; keep the copyright and license notice.
Size
About 4 billion parameters
Memory to load
~3 GB (estimate)
Format
GGUF
Runs on
CPU
Access
Gated: accept the publisher's terms on Hugging Face
Downloads (last 30 days)
0
Likes
1
Last updated
October 24, 2026

How to run it

This is a GGUF build, the format llama.cpp uses. It runs locally on a CPU or GPU with llama.cpp, Ollama or LM Studio, which load GGUF files directly.

Plan for roughly 3 GB of memory to load it (our estimate from its size and format).

Downloads are gated: accept the publisher's terms on Hugging Face first.

The model card on Hugging Face has the exact usage code.

Where to run it

In the cloud

Needs about 3 GB: a 24 GB GPU such as an RTX 4090 or RTX A5000 is enough.

  • RunPod · rent a GPU by the hour (affiliate link)

Related vision-language (image + text to text) models

Data from Hugging Face's public API, last checked October 24, 2026. Downloads are Hugging Face's count for the last 30 days.