Nemotron Nano 9B v2
You can switch its thinking on or off. If only people came with that button.
Model / NVIDIA
Trust score 71 of 100. No, open weights with custom rules.
Last checked Changed Oct 16, 2026 History
Short answer (as of Oct 16, 2026): Nemotron 3.5 Super VL 120B-A12B is a local AI model from NVIDIA. Truly open? No, open weights with custom rules. Business use: yes. Our estimate says it needs about 89 GB of RAM. Trust score 71 of 100.
As of Oct 16, 2026: license OpenMDW License 1.1; business use yes; sign-up not needed; about 89 GB RAM (estimate); trust score 71/100. Sources.
Big agent model that reads images and video. Needs several H100-class GPUs. A lighter NVFP4 sibling is also on Hugging Face.
Who makes it: NVIDIA. The files come from the maker's own Hugging Face account.
License: OpenMDW License 1.1. A Linux Foundation model license. You can use, change, and share it, even to make money. Keep the license and notices when you share it.
Business use: Yes. Business use is allowed. Keep the license and notices when you share it.
Training data: We have not found a full public data release. Not yet checked in depth.
Middle. NVIDIA's card and safety.md say it filtered training data with a guard model and warn against removing its safety guardrails.
This comes from what the maker wrote, checked Oct 16, 2026. We have not run our own tests yet. It sits next to the trust score and does not change it. How we pick these labels.
Pick a computer with at least 128 GB of memory. On a Mac, that is the unified memory. On a PC, a graphics card with that much VRAM is fastest. A PC with only normal RAM will also work, just slower. This model uses a mix of experts. Only part of it works on each word, so it runs faster than its size suggests.
ggml-org/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-GGUF.Q4_K_M. It is the best mix of size and quality for most people.The files are GGUF builds that LM Studio can load. We checked that this repo exists on Oct 16, 2026. Full LM Studio guide.
Does it fit? Yes. Its memory window is big enough for Hermes.
hermes model. Choose LM Studio and press Enter to keep http://localhost:1234/v1.hermes to start.No, open weights with custom rules. A Linux Foundation model license. You can use, change, and share it, even to make money. Keep the license and notices when you share it.
Yes. Business use is allowed. Keep the license and notices when you share it.
No. Download without an account.
Our estimate is about 89 GB of RAM for a 4-bit file of about 72.0 GB. This is a rough guide, not a test.
| Fact | What we found | Status |
|---|---|---|
| Maker | NVIDIA | Verified Oct 16, 2026 |
| License | OpenMDW License 1.1 | Verified Oct 16, 2026 |
| License plain | A Linux Foundation model license. You can use, change, and share it, even to make money. Keep the license and notices when you share it. | Verified Oct 16, 2026 |
| Truly open | No, open weights with custom rules | Verified Oct 16, 2026 |
| Business use | Yes. Business use is allowed. Keep the license and notices when you share it. | Verified Oct 16, 2026 |
| Signup needed | No. Download without an account. | Verified Oct 16, 2026 |
| Parameters | 120.0 billion | Verified Oct 16, 2026 |
| Open training data | Not yet checked | We have not found a full public training data release. Not yet checked in depth. |
| Context window | 1024K tokens | Verified Oct 16, 2026 |
| First posted | 2026-10-12 | Verified Oct 16, 2026 |
| Gguf files | ggml-org/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-GGUF | Verified Oct 16, 2026 |
| Hermes ok | Yes | Verified Oct 16, 2026 |
If the maker's page and this page disagree, trust the maker. Tell us what we got wrong.
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