[demosthanos]

The primary use case here seems to be that it might be possible to use this tool to spend <$20/mo for the same feature set as ChatGPT+. It does not currently make any effort to support locally-hosted open source models, which is what I would have assumed from its name.

If you're interested in a fully Libre LLM stack, I've had fun lately with ollama [0] and ollama-webui [1]. It was pretty trivial to take ollama-webui's docker-compose file and set up a locally-running chat server with Mistral 7B. Trying out different models and prompts was likewise very easy to get started with.

Mistral isn't anything like as good as GPT-4, but it's Apache licensed and fully local, which meets my definition of Libre. I'll continue to use both while the FOSS stacks catch up, but it's fun to keep up with the progress on the open source stuff as tooling develops.

[0] https://github.com/jmorganca/ollama

[1] https://github.com/ollama-webui/ollama-webui

[cloudking]

It looks like it can connect to local models via LiteLLM proxy.

Related issue: https://github.com/danny-avila/LibreChat/issues/1131

LiteLLM: https://github.com/BerriAI/litellm

Guide: https://github.com/danny-avila/LibreChat/blob/main/docs/inst...

[demosthanos]

Good to know, thanks!

I still find it a bit concerning that even the LibreChat docs about LiteLLM don't mention local models in the list of use cases. It looks like there's a GitHub ticket to add that to the docs [0], which would be good.

Maybe I'm just growing old and crotchety, but it makes me uncomfortable to see a word like Libre—which was specifically coined in English to differentiate itself from Free-as-in-Beer—used in a context where monetary cost seems to be the primary concern in the maintainers' minds.

[0] https://github.com/danny-avila/LibreChat/issues/1131