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What can I use for an offline, selfhosted LLM client, pref with images,charts, python code execution (lemmy.world)

submitted 1 year ago* (last edited 1 year ago) by catty@lemmy.world to c/selfhosted@lemmy.world

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I was looking back at some old lemmee posts and came across GPT4All. Didn't get much sleep last night as it's awesome, even on my old (10yo) laptop with a Compute 5.0 NVidia card.

Still, I'm after more, I'd like to be able to get image creation and view it in the conversation, if it generates python code, to be able to run it (I'm using Debian, and have a default python env set up). Local file analysis also useful. CUDA Compute 5.0 / vulkan compatibility needed too with the option to use some of the smaller models (1-3B for example). Also a local API would be nice for my own python experiments.

Is there anything that can tick the boxes? Even if I have to scoot across models for some of the features? I'd prefer more of a desktop client application than a docker container running in the background.

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[–] andrew0@lemmy.dbzer0.com 16 points 1 year ago (2 children)

Ollama for API, which you can integrate into Open WebUI. You can also integrate image generation with ComfyUI I believe.

It's less of a hassle to use Docker for Open WebUI, but ollama works as a regular CLI tool.

[–] O_R_I_O_N@lemm.ee 3 points 1 year ago* (last edited 1 year ago)

ChainLit is a super ez UI too. Ollama works well with Semantic Kernal (for integration with existing code) and langChain (for agent orchestration). I'm working on building MCP interaction with ComfyUI's API, it's a pain in the ass.

[–] catty@lemmy.world 1 points 1 year ago* (last edited 1 year ago) (1 children)

But won't this be a mish-mash of different docker containers and projects creating an installation, dependency, upgrade nightmare?

[–] andrew0@lemmy.dbzer0.com 2 points 1 year ago

All the ones I mentioned can be installed with pip or uv if I am not mistaken. It would probably be more finicky than containers that you can put behind a reverse proxy, but it is possible if you wish to go that route. Ollama will also run system-wide, so any project will be able to use its API without you having to create a separate environment and download the same model twice in order to use it.