On-Device LLMs for Home Assistant: Dual Role in Intent Detection and Response Generation · HackerPapers discussionshttps://hackerpaper.kaipfister.de/p/2502.12923/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:27:26 GMTOn-Device LLMs for Home Assistant: Dual Role in Intent Detection and Response Generation — HN submissionhttps://news.ycombinator.com/item?id=48576208urn:hackerpapers:submission:2502.12923:48576208Wed, 17 Jun 2026 20:15:36 GMT<p>Show HN: Selora – local model for Home Assistant</p><p>Selora AI Local is an open-source, Qwen-based model for Home Assistant. Specs: Qwen3 1.7B base model (Q6 quantized~1.6GB) Four Home Assistant-specific LoRA adapters: - Answers - Clarifications - Automations - Commands ~3.5 GB total download size Runs locally via llama.cpp We chose a Qwen-based architecture because of a paper on Arxiv (link below) 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. This alpha release ships our base model with…</p><p>7 points; 4 discussion replies on HN. <a href="https://hackerpaper.kaipfister.de/p/2502.12923/">Paper and source history</a>. A submission is not an endorsement.</p>cs.CL