Model / Cohere

Command R7B

Trust score 38 of 100. No, non-commercial license.

Short answer (as of Oct 14, 2026): Command R7B is a local AI model from Cohere. Truly open? No, non-commercial license. Business use: no. Our estimate says it needs about 8 GB of RAM. Trust score 38 of 100.

As of Oct 14, 2026: license CC BY-NC 4.0; business use no; sign-up needed; about 8 GB RAM (estimate); trust score 38/100. Sources.

Search-style answers that cite sources. Not for business use.

Run it in LM StudioOfficial model pageSee sources

Trust score

38 / 100

Source, checked Oct 14, 2026

Truly open?

No, non-commercial license

Source, checked Oct 14, 2026

OK for business?

No

Source, checked Oct 14, 2026

Sign-up needed?

Yes

Source, checked Oct 14, 2026

Size

8.0 billion

Source, checked Oct 14, 2026

Memory window

Not yet checked

Not yet checked

In non-nerd speak

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

License: CC BY-NC 4.0. A Creative Commons license that bans commercial use. Fine for personal tests and research only.

Business use: No. This license does not allow commercial use.

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 8 GB

Estimate, our method

4-bit file size

About 4.8 GB

Estimate, our method

Quality tier

Good

Size-based, our method

Pick a computer with at least 8 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. Make a free Hugging Face account. Open the official page and accept the terms.
  3. Open the Discover tab. Search for bartowski/c4ai-command-r7b-12-2024-GGUF.
  4. Pick a file that ends in Q4_K_M. It is the best mix of size and quality for most people.
  5. 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? Not yet checked. We could not read its memory window without a sign-up.

  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 Command R7B truly open source?

No, non-commercial license. A Creative Commons license that bans commercial use. Fine for personal tests and research only.

Can I use Command R7B for my business?

No. This license does not allow commercial use.

Do I need to sign up to download Command R7B?

Yes. Free Hugging Face account and accept terms.

How much memory does Command R7B need?

Our estimate is about 8 GB of RAM for a 4-bit file of about 4.8 GB. This is a rough guide, not a test.

Sources we checked

FactWhat we foundStatus
MakerCohereVerified Oct 14, 2026
LicenseCC BY-NC 4.0Verified Oct 14, 2026
License plainA Creative Commons license that bans commercial use. Fine for personal tests and research only.Verified Oct 14, 2026
Truly openNo, non-commercial licenseVerified Oct 14, 2026
Business useNo. This license does not allow commercial use.Verified Oct 14, 2026
Signup neededYes. Free Hugging Face account and accept terms.Verified Oct 14, 2026
Parameters8.0 billionVerified Oct 14, 2026
Open training dataNot yet checkedWe have not found a full public training data release. Not yet checked in depth.
Context windowNot yet checkedConfig file is behind a sign-up wall. Not yet checked.
First posted2024-12-11Verified Oct 14, 2026
Gguf filesbartowski/c4ai-command-r7b-12-2024-GGUFVerified Oct 14, 2026
Hermes okNot yet checkedContext window not yet checked.

If the maker's page and this page disagree, trust the maker. Tell us what we got wrong.

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