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.
My first thought is that this makes it a lot easier for a game dev to create a game that uses a local LLM. I'll definitely be keeping an eye on this for my own projects.
Edit: Trying it out now, color me impressed! I opened the file, and it worked instantly without a single finick to be found. Super excited for this!
When I upload an image, it seems to be getting re-encoded every time I send a message, which takes a while. I've never really messed around with images in Llama - is this a normal/necessary thing?
That's pretty dope. I've been imagining some programs where having a small enough locally runnable model could be useful.
Works like a charm!