Model / Alibaba Qwen

Qwen3.8 27B

Trust score 84 of 100. Yes, OSI-approved license.

Short answer (as of Oct 14, 2026): Qwen3.8 27B is a local AI model from Alibaba Qwen. Truly open? Yes, OSI-approved license. Business use: yes. Our estimate says it needs about 23 GB of RAM. Trust score 84 of 100.

As of Oct 14, 2026: license Apache License 2.0; business use yes; sign-up not needed; about 23 GB RAM (estimate); trust score 84/100. Sources.

Strong all-round model for a 32 GB machine.

Run it in LM StudioOfficial model pageSee sources

Trust score

84 / 100

Source, checked Oct 14, 2026

Truly open?

Yes, OSI-approved license

Source, checked Oct 14, 2026

OK for business?

Yes

Source, checked Oct 14, 2026

Sign-up needed?

No

Source, checked Oct 14, 2026

Size

27.8 billion

Source, checked Oct 14, 2026

Memory window

256K tokens

Source, checked Oct 14, 2026

In non-nerd speak

Who makes it: Alibaba Qwen. The files come from the maker's own Hugging Face account.

License: Apache License 2.0. A standard open source license. You can use, change, and share it, even to make money. Keep the license notice.

Business use: Yes. Business use is allowed. Keep the license and notice files when you share it.

Training data: We have not found a full public data release. Not yet checked in depth.

Will it run on my computer?

RAM needed

About 23 GB

Estimate, our method

4-bit file size

About 16.7 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.

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 lmstudio-community/Qwen3.8-27B-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 14, 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 Qwen3.8 27B truly open source?

Yes, OSI-approved license. A standard open source license. You can use, change, and share it, even to make money. Keep the license notice.

Can I use Qwen3.8 27B for my business?

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

Do I need to sign up to download Qwen3.8 27B?

No. Download without an account.

How much memory does Qwen3.8 27B need?

Our estimate is about 23 GB of RAM for a 4-bit file of about 16.7 GB. This is a rough guide, not a test.

Sources we checked

FactWhat we foundStatus
MakerAlibaba QwenVerified Oct 14, 2026
LicenseApache License 2.0Verified Oct 14, 2026
License plainA standard open source license. You can use, change, and share it, even to make money. Keep the license notice.Verified Oct 14, 2026
Truly openYes, OSI-approved licenseVerified Oct 14, 2026
Business useYes. Business use is allowed. Keep the license and notice files when you share it.Verified Oct 14, 2026
Signup neededNo. Download without an account.Verified Oct 14, 2026
Parameters27.8 billionVerified Oct 14, 2026
Open training dataNot yet checkedWe have not found a full public training data release. Not yet checked in depth.
Context window256K tokensVerified Oct 14, 2026
First posted2026-08-05Verified Oct 14, 2026
Gguf fileslmstudio-community/Qwen3.8-27B-GGUFVerified Oct 14, 2026
Hermes okYesVerified 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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