this post was submitted on 11 Apr 2026
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Hey :) For a while now I use gpt-oss-20b on my home lab for lightweight coding tasks and some automation. I'm not so up to date with the current self-hosted LLMs and since the model I'm using was released at the beginning of August 2025 (From an LLM development perspective, it feels like an eternity to me) I just wanted to use the collective wisdom of lemmy to maybe replace my model with something better out there.

Edit:

Specs:

GPU: RTX 3060 (12GB vRAM)

RAM: 64 GB

gpt-oss-20b does not fit into the vRAM completely but it partially offloaded and is reasonably fast (enough for me)

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[–] Kirk@startrek.website 2 points 1 day ago (3 children)

Just curious, what does "some automation" entail? I thought LLMs could only work with text, like summarize documents and that sort of thing.

[–] Jozzo@lemmy.world 5 points 1 day ago (1 children)

It's done by software using an LLM, not just a raw LLM. They do only work with text, but you can get it to output the text "get_weather(mylocation)", and instead of just outputting that directly to the user, the software running on top of the LLM runs a " get_weather" function that calls some weather API. The result of that function is then output to the user.

Any time you see an "AI" taking "actions", this is what happens in the background for every action.

[–] SuspciousCarrot78@lemmy.world 1 points 1 day ago* (last edited 1 day ago)

^ exactly that.

Also, I suspect that's the reason for Claude famously telling everyone to "go to bed" all the time. That bastich cannot run time and date as a background check reliably...it wings it based on start of conversation. Bitch I type a lot and fast....stop tellling me to go to bed at 9pm.

I expect it will get patched soon.

An endearing quirk....but it exposes the wiring if you know. Still, doesn't make the trick any less impressive when it hits.

[–] SuspciousCarrot78@lemmy.world 5 points 1 day ago* (last edited 1 day ago) (1 children)

Some examples

  • Tell Home Assistant to adjust lights/thermostat/locks in plain English based on certain conditions being met
  • Ask Jellyfin/Plex to play something based on a vague description like "something like Interstellar but lighter"
  • Morning briefing that pulls calendar, weather, emails and traffic into a 60-second summary automatically. Or get it to read it to you out loud while you shave.
  • Schedule the robot mower or vacuum based on weather forecast via API
  • Fetch information for you off net at set intervals and update you (email, SMS etc)
  • CCTV uses (classification etc)
  • Batch rename files, sort downloads, resize images - stuff you'd normally write a one-off script for
  • Parse a booking reply email, confirm the time, add it to your calendar, set reminders
  • Tag and name your own pictures based on meta data

That's probably just the basics. People have some clever uses for these things. It's not just summarize this document

[–] Kirk@startrek.website 1 points 1 day ago* (last edited 1 day ago) (1 children)

That's cool, it just... does those things? How does it connect to those apps? I can't even get Gemini to set a reminder and that's on a Google device.

[–] SuspciousCarrot78@lemmy.world 3 points 1 day ago* (last edited 1 day ago) (1 children)

Good question. Short answer: not quite.

The LLM is the reasoning layer. It reads your input, figures out intent, and outputs structured instructions. They have a method that achieves that (MCP).

Something else like Home Assistant, n8n, a Python script, whatever you've set up actually executes the actions. The LLM interacts with those things.

So for the calendar example: your email client triggers on a booking reply, passes the text to the LLM, the LLM extracts the date/time/location and outputs something structured, and then your automation tool creates the calendar event and sets the reminder. Once it's set up, it looks and feels like one thing, because you interact with it via the LLM (or even better - you vocally tell the LLM. Yes, JARVIS).

So the LLM never "talks to" Google Calendar directly, it just does the bit that's hard to do with traditional code, which is reading messy natural language and making sense of it.

Same for Home Assistant. The LLM parses "turn the lights down a bit, it's movie time, play something sci-fi" into a device + action + value, and HA does the actual switching.

The secret sauce that makes this work is MCP (Model Context Protocol) - basically a standardised way for LLMs to talk to tools and services.

Instead of custom glue code for every integration, you wire up an MCP server once and the model knows how to use it.

Growing library of them now: filesystems, calendars, browsers, databases, smart home etc.

Anthropic open-sourced the spec, most major local LLM frontends support it.

Think of it like hiring a translator who can manage your crew, rather than hiring someone who speaks every language and also has keys to every building and is also a plumber/electrician/contractor/interior designer, if that makes sense.

TL;DR: once you set up the stack, then the cool automation stuff can happen. Not a big ask, just a bit fiddly, like learning to program your VCR.

Super surprised Google's AI doesn't have the stack / harness inbuilt tho. They could afford to do a lot of the heavy lifting invisibly. I bet they actually do and it's just ... shit. Or a paid extra lol.

[–] Kirk@startrek.website 2 points 19 hours ago (1 children)

That was actually super helpful, thank you.

[–] SuspciousCarrot78@lemmy.world 1 points 16 hours ago* (last edited 16 hours ago)

You're welcome :) This video discusses / shows some automation ideas, using a prebuilt kit you can grab

https://www.youtube.com/watch?v=WrreIi8LCiw

I have no affiliation with them (other than i thought of the exact same idea he did, about 12 months after him, lol). You can see it in action from about 3 mins in.

It's not the most impressive stuff possible, but the side by side screen give you and idea of what's under the hood.

[–] a1studmuffin@aussie.zone 3 points 1 day ago (1 children)

These days they can also chain together tools, keep a working memory etc. Look at Claude Code if you're curious. It's come very far very quickly in the last 12 months.

[–] Kirk@startrek.website 1 points 1 day ago

OP said coding AND "some automation", what is being automated?