Mistral 7B v0.3
An oldie but a goodie. Light, well known, Apache license.
Model / Mistral AI
Trust score 64 of 100. No, open weights with custom rules.
Last checked Changed Oct 19, 2026 History
Short answer (as of Oct 29, 2026): Mistral Medium 3.5 is a local AI model from Mistral AI. Truly open? No, open weights with custom rules. Business use: yes, with guardrails. Our estimate says it needs about 94 GB of RAM. Trust score 64 of 100.
As of Oct 29, 2026: license Mistral Modified MIT License; business use yes, with guardrails; sign-up not needed; about 94 GB RAM (estimate); trust score 64/100. Sources.
Mistral's big all-in-one model for chat, reasoning, and coding. It reads images. Big companies need a paid deal.
Who makes it: Mistral AI. The files come from the maker's own Hugging Face account.
License: Mistral Modified MIT License. Mistral's own version of the MIT license. You can use, change, and share it, even to make money, unless your company is big.
Business use: Only if your company (or your employer) made 20 million US dollars or less last month. Bigger companies need a paid deal with Mistral.
Training data: We have not found a full public data release. Not yet checked in depth.
Not sure yet. The maker's card does not say how often it says no. So we won't guess.
This comes from what the maker wrote, checked Oct 19, 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 128 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.
unsloth/Mistral-Medium-3.5-128B-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 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. Mistral's own version of the MIT license. You can use, change, and share it, even to make money, unless your company is big.
Only if your company (or your employer) made 20 million US dollars or less last month. Bigger companies need a paid deal with Mistral.
No. Download without an account.
Our estimate is about 94 GB of RAM for a 4-bit file of about 76.6 GB. This is a rough guide, not a test.
| Fact | What we found | Status |
|---|---|---|
| Maker | Mistral AI | Verified Oct 29, 2026 |
| License | Mistral Modified MIT License | Verified Oct 29, 2026 |
| License plain | Mistral's own version of the MIT license. You can use, change, and share it, even to make money, unless your company is big. | Verified Oct 29, 2026 |
| Truly open | No, open weights with custom rules | Verified Oct 29, 2026 |
| Business use | Only if your company (or your employer) made 20 million US dollars or less last month. Bigger companies need a paid deal with Mistral. | Verified Oct 29, 2026 |
| Signup needed | No. Download without an account. | Verified Oct 29, 2026 |
| Parameters | 127.7 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 | 256K tokens | Verified Oct 29, 2026 |
| First posted | 2026-03-31 | Verified Oct 29, 2026 |
| Gguf files | unsloth/Mistral-Medium-3.5-128B-GGUF | Verified Oct 29, 2026 |
| Hermes ok | Yes | 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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