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 Lightning 30B-A3B is a local AI model from NVIDIA. Truly open? No, open weights with custom rules. Business use: yes. NVIDIA says it runs in 80 GB of memory; our estimate is about 24 GB, so 80 GB machines will be tight. Trust score 71 of 100.
As of Oct 16, 2026: license OpenMDW License 1.1; business use yes; sign-up not needed; NVIDIA says 80 GB of memory, our estimate about 24 GB; trust score 71/100. Sources.
Fast chat, coding, and tool use. Only 3 billion of its 30 billion parameters work at once.
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 was trained with safety data, filtered harmful 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 32 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.
NVIDIA says it runs in 80 GB of memory (source). Our estimate is about 24 GB. So 80 GB machines will be a tight fit. Close the 40 browser tabs first.
ggml-org/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-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.
NVIDIA says it runs within 80 GB of memory. Our estimate is about 24 GB of RAM for a 4-bit file of about 18.0 GB. This is a rough guide, not a test. So a 80 GB machine will be a tight fit.
| 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 | 30.0 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 | 256K tokens | Verified Oct 16, 2026 |
| First posted | 2026-08-01 | Verified Oct 16, 2026 |
| Gguf files | ggml-org/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF | Verified Oct 16, 2026 |
| Hermes ok | Yes | Verified Oct 16, 2026 |
| Official memory | Runs on one 80 GB GPU (H100 or A100) at full BF16 precision (NVIDIA). A lighter NVFP4 build is also on Hugging Face. | Verified Oct 16, 2026 |
If the maker's page and this page disagree, trust the maker. Tell us what we got wrong.
Newsletter
Which new models are worth your time, which ones are just hype, and the license gotchas before they bite. All the useful bits, none of the nerd-party small talk.
This opens our sign-up page on Beehiiv, our email provider. Confirm your email there to join.