---
title: nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-BF16
url: https://recentmodel.com/models/nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-BF16/
status: main board
published: 2026-10-09T12:45:14Z
updated: 2026-10-09T12:45:14Z
source: https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-BF16
---

# nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-BF16

NVIDIA Nemotron 3.5 Bolt 74B-A9B is a vision-language model (VLM) designed to run everyday agentic tasks locally. Mixture-of-experts, 75B total, 9B active (512 experts). Context: 256K tokens (config). License: openmdw-1.1.


- **Org:** nvidia
- **Released:** 2026-10-09
- **Status:** main board
- **License:** openmdw-1.1 (permissive)
- **Parameters:** 74.9B total, 9.0B active
- **Architecture:** MoE · 512 experts, None/token · NemotronH_Omni_Reasoning_V3
- **Context:** 262,144 tokens
- **Task:** image-text-to-text · vision
- **Signal:** 47 HF likes · 4731 downloads · 1 X post(s)

## Runs on

real quant files; sizing calculation, not tested.

- Q4 ~57.6 GB: Mac 96GB
- Q8 ~86.3 GB: 96GB GPU (RTX Pro 6000 Blackwell), 1× DGX Spark (128GB), Strix Halo 128GB unified (~96GB usable), Mac 128GB, Mac 192GB, CPU only, 128GB RAM (slow)
- FP16 ~155.6 GB: 2× DGX Spark (256GB), Mac 256GB, Mac 512GB, CPU only, 256GB RAM (slow)

## Links

- [Hugging Face](https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-BF16)
- [Ollama](https://ollama.com/library/nemotron-3.5-bolt)
- [GGUF: nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-24GB-GGUF](https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-24GB-GGUF)
- [GGUF: unsloth/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-GGUF](https://huggingface.co/unsloth/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-GGUF)