NVIDIA-Nemotron-3.5-Bolt-74B-A9B-Abliterated-24GB-GGUF
- Task
- Vision-language (image + text to text)
- Category
- Image
- License
- Custom (other)
- Commercial use
- Check the license
The license isn't a standard one; read the model card on Hugging Face before using it commercially. - Size
- About 74 billion parameters
- Memory to load
- ~45 GB (estimate)
- Format
- GGUF
- Runs on
- CPU
- Access
- Open download
- Downloads (last 30 days)
- 0
- Likes
- 1
- Last updated
- October 16, 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 45 GB of memory to load it (our estimate from its size and format).
The model card on Hugging Face has the exact usage code.
Where to run it
In the cloud
Needs about 45 GB: use a 48 GB GPU such as an RTX A6000 or L40S.
- 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 16, 2026. Downloads are Hugging Face's count for the last 30 days.