llm-mlc

I'm still iterating on that. Plugins get complete control over the prompts, so they can handle the various weirdnesses of them. Here's some relevant code: https://github.com/simonw/llm-gpt4all/blob/0046e2bf5d0a9c369... https://github.com/simonw/llm-mlc/blob/b05eec9ba008e700ecc42... https://github.com/simonw/llm-llama-cpp/blob/29ee8d239f5cfbf... I'm not completely happy with this yet. Part of the problem is that different models on the same architecture may have completely different prompting styles. I expect I'll eventually evolve the plugins to allow them to be configured in an easier and more flexible way. Ideally I'd like you to be able to run new models on existing architectures using an existing plugin.

What is the advantage of this versus running something like https://github.com/simonw/llm , which also gives you options to e.g. use https://github.com/simonw/llm-mlc for accelerated inference?

I'm quite impressed with Llama 2 13B - the more time I spend with it the more I think it might be genuinely useful for more than just playing around with local LLMs. I'm using the MLC version (since that works with a GPU on my M2 Mac) via my https://github.com/simonw/llm-mlc plugin.