Model / NVIDIA

Nemotron 3.5 Lightning 30B-A3B

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.

Run it in LM StudioOfficial model pageSee sources

Trust score

71 / 100

Source, checked Oct 16, 2026

Will it say no?

Middle

What this means

Truly open?

No, open weights with custom rules

Source, checked Oct 16, 2026

OK for business?

Yes

Source, checked Oct 16, 2026

Sign-up needed?

No

Source, checked Oct 16, 2026

Size

30.0 billion

Source, checked Oct 16, 2026

Memory window

256K tokens

Source, checked Oct 16, 2026

In non-nerd speak

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.

Will it say no?

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.

Will it run on my computer?

RAM needed

About 24 GB

Estimate, our method

4-bit file size

About 18.0 GB

Estimate, our method

Quality tier

Very strong

Size-based, our method

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.

Not sure? Use our pick-by-computer guide.

How to run it in LM Studio

  1. Get LM Studio from lmstudio.ai and open it.
  2. Open the Discover tab. Search for ggml-org/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF.
  3. Pick a file that ends in Q4_K_M. It is the best mix of size and quality for most people.
  4. Click Download. When it is done, open a new chat and load the model.

The files are GGUF builds that LM Studio can load. We checked that this repo exists on Oct 16, 2026. Full LM Studio guide.

How to use it with Hermes

Does it fit? Yes. Its memory window is big enough for Hermes.

  1. Load the model in LM Studio. Set the context length to at least 64000.
  2. In LM Studio, open the Developer tab and start the server.
  3. In a terminal, run hermes model. Choose LM Studio and press Enter to keep http://localhost:1234/v1.
  4. Pick this model from the list. Then run hermes to start.

Steps based on the Hermes docs. Full Hermes guide.

Common questions

Is Nemotron 3.5 Lightning 30B-A3B truly open source?

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.

Can I use Nemotron 3.5 Lightning 30B-A3B for my business?

Yes. Business use is allowed. Keep the license and notices when you share it.

Do I need to sign up to download Nemotron 3.5 Lightning 30B-A3B?

No. Download without an account.

How much memory does Nemotron 3.5 Lightning 30B-A3B need?

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.

Change history

All changes on the site

Sources we checked

FactWhat we foundStatus
MakerNVIDIAVerified Oct 16, 2026
LicenseOpenMDW License 1.1Verified Oct 16, 2026
License plainA 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 openNo, open weights with custom rulesVerified Oct 16, 2026
Business useYes. Business use is allowed. Keep the license and notices when you share it.Verified Oct 16, 2026
Signup neededNo. Download without an account.Verified Oct 16, 2026
Parameters30.0 billionVerified Oct 16, 2026
Open training dataNot yet checkedWe have not found a full public training data release. Not yet checked in depth.
Context window256K tokensVerified Oct 16, 2026
First posted2026-08-01Verified Oct 16, 2026
Gguf filesggml-org/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUFVerified Oct 16, 2026
Hermes okYesVerified Oct 16, 2026
Official memoryRuns 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.

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