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Selora Homes
Selora Homes makes Selora AI, the AI layer for Home Assistant: an assistant that responds to plain-English commands, answers questions about your home, and drafts automations for you to review. Selora AI can use a cloud model, or run entirely on your own hardware with the models published here, in which case your home's data never leaves your network.
Selora AI LLM
The language models behind Selora AI's local mode, fine-tuned from Qwen3 for Home Assistant. They come in two sizes, and each size is published in two forms:
- Adapter bundle: one base model plus five small task-specific adapters (LoRA), and the
Selora AI integration's default setup. The integration picks the adapter for each request:
commandcontrols devices;automationbuilds automations;answeranswers questions about the home;clarificationasks a follow-up when a request is ambiguous;utilitiesgives help drawn from the Home Assistant documentation, with citations.
- Fused build: the five adapters merged into a single model, for runtimes that cannot switch adapters, such as Ollama.
| Size | Runs on | Adapter bundle | Fused build |
|---|---|---|---|
| 1.7B | a Selora Hub or other modest hardware | Selora-AI-LLM-1.7B | Selora-AI-LLM-1.7B-ollama |
| 14B | a machine with about 16 GB of memory | Selora-AI-LLM-14B | Selora-AI-LLM-14B-ollama |
Each model card lists its files and how to run it; the adapter bundles' cards also report benchmark results. The models are released under Apache-2.0, the license of the Qwen3 models they are derived from.
To try a fused build with Ollama:
ollama run hf.co/selorahomes/Selora-AI-LLM-1.7B-ollama:selora-ollama.Q6_K.gguf
Using the models with Home Assistant
Install the Selora AI integration and choose its local backend; the Selora AI Local guide walks through it. On a Selora Hub, the local model is set up for you.
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