Qwen3.5 9B
Keeps a lot of your chat in mind at once. Fits a 16 GB machine.
Model / NVIDIA
Trust score 64 of 100. No, open weights with custom rules.
Short answer (as of Oct 14, 2026): Nemotron Nano 9B v2 is a local AI model from NVIDIA. Truly open? No, open weights with custom rules. Business use: yes, with limits. Our estimate says it needs about 9 GB of RAM. Trust score 64 of 100.
As of Oct 14, 2026: license NVIDIA Open Model License; business use yes, with limits; sign-up not needed; about 9 GB RAM (estimate); trust score 64/100. Sources.
Reasoning with a switch to turn thinking on or off.
Who makes it: NVIDIA. The files come from the maker's own Hugging Face account.
License: NVIDIA Open Model License. NVIDIA's own license. It says the models are usable for business. You lose your rights if you remove its safety guardrails without a fair replacement.
Business use: Yes, with limits. Do not strip out the safety guardrails without a similar one that fits your use.
Training data: We have not found a full public data release. Not yet checked in depth.
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.
bartowski/nvidia_NVIDIA-Nemotron-Nano-9B-v2-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 14, 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. NVIDIA's own license. It says the models are usable for business. You lose your rights if you remove its safety guardrails without a fair replacement.
Yes, with limits. Do not strip out the safety guardrails without a similar one that fits your use.
No. Download without an account.
Our estimate is about 9 GB of RAM for a 4-bit file of about 5.3 GB. This is a rough guide, not a test.
| Fact | What we found | Status |
|---|---|---|
| Maker | NVIDIA | Verified Oct 14, 2026 |
| License | NVIDIA Open Model License | Verified Oct 14, 2026 |
| License plain | NVIDIA's own license. It says the models are usable for business. You lose your rights if you remove its safety guardrails without a fair replacement. | Verified Oct 14, 2026 |
| Truly open | No, open weights with custom rules | Verified Oct 14, 2026 |
| Business use | Yes, with limits. Do not strip out the safety guardrails without a similar one that fits your use. | Verified Oct 14, 2026 |
| Signup needed | No. Download without an account. | Verified Oct 14, 2026 |
| Parameters | 8.9 billion | Verified Oct 14, 2026 |
| Open training data | Not yet checked | We have not found a full public training data release. Not yet checked in depth. |
| Context window | 128K tokens | Verified Oct 14, 2026 |
| First posted | 2025-08-12 | Verified Oct 14, 2026 |
| Gguf files | bartowski/nvidia_NVIDIA-Nemotron-Nano-9B-v2-GGUF | Verified Oct 14, 2026 |
| Hermes ok | Yes | Verified Oct 14, 2026 |
If the maker's page and this page disagree, trust the maker. Tell us what we got wrong.
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