LibreChat VS ollama

Better Azure OpenAI and OpenAI support, as well as API based AI services

Better Azure OpenAI and OpenAI support, as well as API based AI services

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

The author of LibreChat [0] teaserd on discord that he's working on one. LibreChat is already the best "chatgpt ui" clone I could find (it has some rough edges, but not as many as the official chatgpt ui).

[0] https://github.com/danny-avila/librechat

Was also recently discussed here https://news.ycombinator.com/item?id=38502805

Check it out here if you're interested (I have no association): https://github.com/danny-avila/LibreChat

We use an Open AI developer account and an installation of LibreChat connected to our Azure AD for authentication.

LibreChat

i find LibreChat much better. The devs are very responsive as well to bugs and updates.

curl -fsSL https://ollama.com/install.sh | sh

Streaming is not a problem (it's just a simple flag: https://github.com/wiktor-k/llama-chat/blob/main/index.ts#L2...) but I've never used voice input.

The examples show image input though: https://github.com/ollama/ollama/blob/main/docs/api.md#reque...

Maybe you can file an issue here: https://github.com/ollama/ollama/issues

I’m a huge fan of open source models, especially the newly release Llama 3. Because of the performance of both the large 70B Llama 3 model as well as the smaller and self-host-able 8B Llama 3, I’ve actually cancelled my ChatGPT subscription in favor of Open WebUI, a self-hostable ChatGPT-like UI that allows you to use Ollama and other AI providers while keeping your chat history, prompts, and other data locally on any computer you control.

Ollama for running LLMs locally

There are various other interesting options to set, but for those, I will direct you to the link to the documentation. During the OS Day, I had the chance to experiment a bit with the models offered by Ollama; in fact, if you need some inspiration, I invite you to check out the YouTube channel of Shroedinger Hat where you can find the videos of the individual talks, also organized in a single playlist; you will find more than one showing the use of Ollama for various projects and in various ways 😁

That’s where Ollama comes in! Ollama is a free and open-source application that allows you to run various large language models, including Llama 3, on your own computer, even with limited resources. Ollama takes advantage of the performance gains of llama.cpp, an open source library designed to allow you to run LLMs locally with relatively low hardware requirements. It also includes a sort of package manager, allowing you to download and use LLMs quickly and effectively with just a single command.

easiest is probably with ollama [0]. I think the ollama API is OpenAI compatible.

[0]https://ollama.com/

They ended up addressing this issue by including it on the last line of their readme as one of the "Supported backends[sic]".

https://github.com/ollama/ollama/issues/3697

LLM models are challenging to run directly via ONNX runtime on CPU. For these, we are using a GPU-accelerated Ollama server under the hood: