Local LLM buyers eye Qwen, Gemma

The interesting signal is not one Reddit user's build; it is the new buyer profile for local AI: non-coders who still want serious model capability, privacy, and tool orchestration.

• –Qwen3.6-27B looks strongest if the user wants a general backbone with long context, multimodal support, tool use, and future agent workflows.
• –Gemma 4 31B is the conservative alternative for polished conversation and token efficiency, especially if Google ecosystem compatibility matters.
• –The actual stack will likely matter as much as the model: Telegram bot, Whisper transcription, media downloaders, photo indexing, RAG, and a fallback smaller model for background jobs.
• –Strix Halo with 128GB unified RAM makes larger quantized local models realistic, but latency and framework support will decide day-to-day usability.