LocalLLaMA
Welcome to LocalLLaMA! Here we discuss running and developing machine learning models at home. Lets explore cutting edge open source neural network technology together.
Get support from the community! Ask questions, share prompts, discuss benchmarks, get hyped at the latest and greatest model releases! Enjoy talking about our awesome hobby.
As ambassadors of the self-hosting machine learning community, we strive to support each other and share our enthusiasm in a positive constructive way.
Rules:
Rule 1 - No harassment or personal character attacks of community members. I.E no namecalling, no generalizing entire groups of people that make up our community, no baseless personal insults.
Rule 2 - No comparing artificial intelligence/machine learning models to cryptocurrency. I.E no comparing the usefulness of models to that of NFTs, no comparing the resource usage required to train a model is anything close to maintaining a blockchain/ mining for crypto, no implying its just a fad/bubble that will leave people with nothing of value when it burst.
Rule 3 - No comparing artificial intelligence/machine learning to simple text prediction algorithms. I.E statements such as "llms are basically just simple text predictions like what your phone keyboard autocorrect uses, and they're still using the same algorithms since <over 10 years ago>.
Rule 4 - No implying that models are devoid of purpose or potential for enriching peoples lives.
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the code is FOSS, the weights aren't, this is pretty common with e.g. FOSS games, the only difference here is weights are much costlier to remake from scratch than game assets
The license has limitations and isn't something standard like Apache
True, but it hardly matters for the source since the architecture is pulled into open source projects like transformers (Apache) and llama.cpp (MIT). The weights remain under the dubious Llama Community License, so I would only call the data “available” instead of “open”.
I'll just stick to Mistral
Are you using mistral 7B?
I also really like that model and their fine-tunes. If licensing is a concern, it's definitely a great choice.
Mistral also has a new model, Mistral Nemo. I haven't tried it myself, but I heard it's quite good. It's also licensed under Apache 2.0 as far as I know.
Is it part of ollama?
Edit: https://ollama.com/library/mistral-nemo
Yes, you can find it here.