Selfhosted

40246 readers

1050 users here now

A place to share alternatives to popular online services that can be self-hosted without giving up privacy or locking you into a service you don't control.

Rules:

Be civil: we're here to support and learn from one another. Insults won't be tolerated. Flame wars are frowned upon.
No spam posting.
Posts have to be centered around self-hosting. There are other communities for discussing hardware or home computing. If it's not obvious why your post topic revolves around selfhosting, please include details to make it clear.
Don't duplicate the full text of your blog or github here. Just post the link for folks to click.
Submission headline should match the article title (don’t cherry-pick information from the title to fit your agenda).
No trolling.

Resources:

selfh.st Newsletter and index of selfhosted software and apps
awesome-selfhosted software
awesome-sysadmin resources
Self-Hosted Podcast from Jupiter Broadcasting

Any issues on the community? Report it using the report flag.

Questions? DM the mods!

founded 1 year ago

MODERATORS

HybridSarcasm@lemmy.world

HybridSarcasm@lemmy.hybridsarcasm.xyz

113

MinimalChat Is a Full-Featured and Self-Contained LLM Chat Application (github.com)

submitted 5 months ago* (last edited 5 months ago) by Fingerthief@infosec.pub to c/selfhosted@lemmy.world

14 comments fedilink hide all child comments

I've been building MinimalChat for a while now, and based on the feedback I've received, it's in a pretty decent place for general use. I figured I'd share it here for anyone who might be interested!

Quick Features Overview:

Mobile PWA Support: Install the site like a normal app on any device.
Any OpenAI formatted API support: Works with LM Studio, OpenRouter, etc.
Local Storage: All data is stored locally in the browser with minimal setup. Just enter a port and go in Docker.
Experimental Conversational Mode (GPT Models for now)
Basic File Upload and Storage Support: Files are stored locally in the browser.
Vision Support with Maintained Context
Regen/Edit Previous User Messages
Swap Models Anytime: Maintain conversational context while switching models.
Set/Save System Prompts: Set the system prompt. Prompts will also be saved to a list so they can be switched between easily.

The idea is to make it essentially foolproof to deploy or set up while being generally full-featured and aesthetically pleasing. No additional databases or servers are needed, everything is contained and managed inside the web app itself locally.

It's another chat client in a sea of clients but it is unique in its own ways in my opinion. Enjoy! Feedback is always appreciated!

Self Hosting Wiki Section https://github.com/fingerthief/minimal-chat/wiki/Self-Hosting-With-Docker

you are viewing a single comment's thread
view the rest of the comments

[–] Fingerthief@infosec.pub 11 points 5 months ago* (last edited 5 months ago) (1 children)

This app is more of an interface to use while connecting to any number of LLM Models that have an API available. The application itself has no model.

For example you can choose to use GPT-4 Omni by providing an API key from OpenAI.

But you can also connect to services like OpenRouter with an API key and select between 20+ different models that they provide access to as seen below

It also supports connecting to fully local models via programs like LM Studio which downloads models from Hugging Face to your machine and will spin up a local API to connect and chat with the model.

[–] stonerboner@lemmynsfw.com 1 points 5 months ago (1 children)

Thanks for clarifying. Cool project! I’ve been looking for a guilt free LLM that sourced its training data in an ethical way. Tell me if I’m way off base, but I take it your app is to the LLMs similar to how the Ice Cubes is an interface for the fediverse. Nice!

I wish you well with your project. If any of the models you work with fit what I’m looking for, or you know of any such models please let me know!

[–] Fingerthief@infosec.pub 3 points 5 months ago* (last edited 5 months ago)

Yep that's a pretty good comparison!

I'm curious on what you mean by sourcing training data in an ethical way? I know OpenAI has come under well deserved scrutiny for apparently using content that is hidden behind paywalls without purchasing it themselves in their training data. Which is quite unethical, but aside from that instance I'm interested in hearing some other concerns for my own education.

In general there are definitely loads of models on places like Hugging Face that are fully open source and provide training data sources for many.

I believe for Microsoft's new Phi 3 models they actually generated synthetic data themselves for training as well which is an interesting approach that seems to yield good results.

In the open source LLM world the new Meta Llama 3 models are the latest and greatest, I haven't seen any cause for concerns with it yet. Might be worth looking into those!