this post was submitted on 19 Mar 2026
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LocalLLaMA

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Welcome to LocalLLaMA! Here we discuss running and developing machine learning models at home. Lets explore cutting edge open source neural network technology together.

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Ola

Elsewhere, I've been building a behaviour shaping harness for local LLMs. In the process of that, I thought "well, why not share what the voices inside my head are saying".

With that energy in mind, may I present Clanker Adjacent (name chosen because apparently I sound like a clanker - thanks lemmy! https://lemmy.world/post/43503268/22321124)

I'm going for long form, conversational tone on LLM nerd-core topics; or at least the ones that float my boat. If that's something that interests you, cool. If not, cool.

PS: I promise the next post will be "Show me your 80085".

PPS: Not a drive by. I lurk here and get the shit kicked out of me over on /c/technology

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[–] SuspciousCarrot78@lemmy.world 0 points 2 weeks ago* (last edited 2 weeks ago)

Done

I'll give you the noob safe walk thru, assuming starting from 0

  1. Install Docker Desktop (or Docker Engine + Compose plugin).
  2. Clone the repo: git clone https://codeberg.org/BobbyLLM/llama-conductor.git
  3. Enter the folder and copy env template: cp docker.env.example .env (Windows: copy manually)
  4. Start core stack: docker compose up -d
  5. If you also want Open WebUI: docker compose --profile webui up -d

Included files:

  • docker-compose.yml
  • docker.env.example
  • docker/router_config.docker.yaml

Noob-safe note for older hardware:

  • Use smaller models first (I've given you the exact ones I use as examples).
  • You can point multiple roles to one model initially.
  • Add bigger/specialized models later once stable.

Docs:

  • README has Docker Compose quickstart
  • FAQ has Docker + Docker Compose section with command examples