dalai VS simpleAI

I agree, I've definitely seen way more information about running image synthesis models like Stable Diffusion locally than I have LLMs. It's counterintuitive to me that Stable Diffusion takes less RAM than an LLM, especially considering it still needs the word vectors. Goes to show I know nothing.

I guess it comes down to the requirement of a very high end (or multiple) GPU that makes it impractical for most vs just running it in Colab or something.

Tho there are some efforts:

https://github.com/cocktailpeanut/dalai

If you're just looking to play with something locally for the first time, this is the simplest project I've found and has a simple web UI: https://github.com/cocktailpeanut/dalai

It works for 7B/13B/30B/65B LLaMA and Alpaca (fine-tuned LLaMA which definitely works better). The smaller models at least should run on pretty much any computer.

I am not against easy mode options dude, for example I used to run GANs through command line. I replaced them with Upscayl when I found it. Convenience is king after all. Something about this one isn't right though. They are advertising it as a model they built meanwhile their own github show it to be a frontend of LLAMA. Why aren't they honest about it? Why use bots to spam about it? This causes me to not trust the executable they share to 1 to 1 compliation of the source code neither. I would still recommend looking for more decent alternatives. Btw, running it directly isn't that complicated

https://github.com/ggerganov/llama.cpp https://github.com/oobabooga/text-generation-webui https://github.com/mlc-ai/mlc-llm https://github.com/cocktailpeanut/dalai https://github.com/ido-pluto/catai (this is super easy to install but it doesnt provide an api or have integration with langchain)

This was easy to get running: https://github.com/cocktailpeanut/dalai with alpaca 13B (on my 16GB or ram)

I had it running before with Dalai (https://github.com/cocktailpeanut/dalai) but have since moved to using the browser based WebGPU method (https://mlc.ai/web-llm/) which uses Vicuna 7B and is quite good.

https://github.com/nsarrazin/serge let's you pick which model and runs in a container. For API https://github.com/cocktailpeanut/dalai looks super promising.

Not related to my own project SimpleAI despite the name, but looks like we can easily make the two work together, to keep it « simple ». Nice work!

Using this as an opportunity to mention my own related project, perhaps it can end up on your nice list one day. :)

https://github.com/lhenault/SimpleAI

You could have a look at a project I’ve been working on, SimpleAI, doing exactly this by replicating the OpenAI endpoints (you can then use their JS client for integration). Adding StableLM should be straightforward, I plan to add it to the examples in the upcoming days once I have a bit of time.

I’ve built SimpleAI with exactly these kinds of use cases in mind. That should allow supporting any model with minimal / no change to your project. Good job and good luck with LoopGPT, that looks nice!

You could give this a shot: https://github.com/lhenault/simpleAI

I don't know if this applies to your use case but this would probably work if you are looking for an llm to help with programming. Haven't really played around with it but this may work for general llm tasks, it doesn't have a web UI though.

As per llama.cpp specifically, you can indeed add any model, it's just a matter of doing a bit of glue code and declaring it in your models.toml config. It's quite straightforward thanks to some provided tools for Python (see here for instance). For any other language it's a matter of integrating it through the gRPC interface (which shouldn't be too hard for Llama.cpp if you're comfortable in C++). I'm planning to also add support for REST for model in the backend at some point too.

Shameless plug but I’ve been recently working on SimpleAI, a project replicating the main endpoints from OpenAI API, allowing you to seamlessly switch from their API to your own one, as it’s compatible with OpenAI client.

I wanted to share with you SimpleAI, a self-hosted alternative to OpenAI API.