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 23, 2026 History
Short answer (as of Oct 29, 2026): Nemotron 3.5 Bolt E4B is a local AI model from NVIDIA. Truly open? No, open weights with custom rules. Business use: yes. NVIDIA says it runs in 4 GB of memory; our estimate is about 10 GB, so 4 GB machines will be tight. Trust score 71 of 100.
As of Oct 29, 2026: license OpenMDW License 1.1; business use yes; sign-up not needed; NVIDIA says 4 GB of memory, our estimate about 10 GB; trust score 71/100. Sources.
Small, fast helper for voice and device assistants that use tools. Built on Gemma 4 E4B. Text only.
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 safety notes say a guard model filtered harmful samples out of training, and the model was checked for content safety.
This comes from what the maker wrote, checked Oct 23, 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 16 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.
NVIDIA says it runs in 4 GB of memory (source). Our estimate is about 10 GB. So 4 GB machines will be a tight fit. Close the 40 browser tabs first.
nvidia/NVIDIA-Nemotron-3.5-Bolt-E4B-4GB.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 29, 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 4 GB of memory. Our estimate is about 10 GB of RAM for a 4-bit file of about 6.18 GB. This is a rough guide, not a test. So a 4 GB machine will be a tight fit.
| Fact | What we found | Status |
|---|---|---|
| Maker | NVIDIA | Verified Oct 29, 2026 |
| License | OpenMDW License 1.1 | Verified Oct 29, 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 29, 2026 |
| Truly open | No, open weights with custom rules | Verified Oct 29, 2026 |
| Business use | Yes. Business use is allowed. Keep the license and notices when you share it. | Verified Oct 29, 2026 |
| Signup needed | No. Download without an account. | Verified Oct 29, 2026 |
| Parameters | 8.0 billion | Verified Oct 29, 2026 |
| Open training data | Not yet checked | We have not found a full public training data release. Not yet checked in depth. |
| Context window | 64K tokens | Verified Oct 29, 2026 |
| First posted | 2026-10-05 | Verified Oct 29, 2026 |
| Gguf files | nvidia/NVIDIA-Nemotron-3.5-Bolt-E4B-4GB | Verified Oct 29, 2026 |
| Hermes ok | Yes | Verified Oct 29, 2026 |
| Official memory | About 3 to 5 GB of GPU memory in NVIDIA's own tests (Q4_K_M file on llama.cpp, 3.1 to 5.0 GB depending on hardware and context). NVIDIA says it packs into as little as about 4 GB in its target workloads. | Verified Oct 29, 2026 |
If the maker's page and this page disagree, trust the maker. Tell us what we got wrong.
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