This is an automated archive made by the Lemmit Bot.
The original was posted on /r/homeassistant by /u/Key-Ocelot-1466 on 2026-06-17 18:49:27+00:00.
Hi everyone - I'm one of the co-founders of Selora and we just released an open source, local model trained specifically for HA.
Selora AI Local is an open-source, Qwen-based model for Home Assistant. We chose a Qwen-based architecture because of this paper on Arxiv which applied a Qwen based model for local LLM configuration, and showed promising results. We took it a step further in application by training LoRA adapters specialized in Home Assistant configuration.
Existing options for local LLMs in Home Assistant are limited based on context of knowledge, or are not fully local, requiring an API key. We believe there is a need for an open-source model that’s small, private, specialized in HA, to run on efficient hardware for users to run in their home.
This release ships our model with four specialist LoRA adapters preloaded for faster response: answers, clarifications, automations, and commands. The Q6 quantized base model is 1.6GB and the adapters are less than 100MB running either on self-hosted llama.cpp, or on Selora Hub devices, where everything is preconfigured and plug-and-play for you.
We’re here to answer any questions and would love any feedback you can provide as we want to make improvements and updates based on the community.
Access here + more details: https://selorahomes.com/selora-ai/
GitHub: https://github.com/SeloraHomes/ha-selora-ai
HuggingFace: https://huggingface.co/selorahomes/Selora-AI
–
Disclaimer: We're a team of SWEs and used AI to aid in development and QA.