Can’t say if it is helpful but maybe it can be added to https://elpa.gnu.org/packages/llm.html
Yes, the llm package does not have this but does have ollama, which seems pretty similar. I’m curious what the differences are. But if anyone thinks this is worth adding, it can be done, making it available to any package integrating with the llm package.
I've now added this to the llm package. Although I have to say it's not nearly as complete as Ollama is. In particular, it lacks embedding functionality and streaming.
I can add this to gptel quite easily, but I can't find the instructions on how to use it. Does it use a local http server? Where can I find these details?
Hi,
I personally would not have expected that the desktop app doesn't have to run in background anyway. ;-)
Any "gtp4all.el"-like mode would help me in writing my queries in Emacs as well as receiving its output directly into Emacs (babel/org-mode preferred, I suppose). Currently, I do a lot of copy&paste for that purpose.
In that case you can use it right now with gptel, which supports an Org interface for chat.
Enable the server mode in the desktop app, and in Emacs, run
(setq-default gptel-model "gpt4all-j-v1.3-groovy"
gptel-host "http://localhost:4891/v1"
gptel-api-key "--")
Then you can spawn a dedicated chat buffer with M-x gptel or chat from any buffer by selecting a region of text and running M-x gptel-send.
Great news - will try in the next days. Thank you.
I have played with this a bit in the last few days.
It's nice and minimal, but I am hitting some issues with not enough memory. It seems gptel wants to load whatever model is specified, but I don't have enough memory to run the model GPT4All desktop loads by default plus what gptel wants to load.
In the meantime I added explicit support for GPT4All, the above instructions may be incorrect by the time you get to it. The Readme should have updated instructions (if it mentions support for local LLMs at all).
3 days painfully waiting :)
It isn't actually the same, though - they don't support streaming. How are you getting around this?
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