who is running their own local LLM for processing personal / private topics, e.g. emails, whatsapp .. etc? what hardware are you using and how satisfied are you ?
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9c5ad4a
Me. RTX 3060 12GB with Qwen3.6-35B-A3B MoE using a customised llama.cpp, and the machine is a Ryzen 9 with 64 GB of RAM. And I am pretty happy. I use GPT Sol or Opus 5.5 as an orchestrator/validator, and the heavy lifting is done locally.
so basically you are using Qwen to pull emails, create digest, notifys you with urgent matters, write drafts, checking whats app .. etc.
But you are using GPT / Opus as an orchestrator / validator on the action plan of what the local LLM does right ? of course after data redaction. correct ? all scheduled jobs are done by the local LLM as well correct ?
commit 9c5ad4a
I use it mostly for coding. Sol breaks the work down into tasks, selects the necessary context, and passes it to Qwen, which executes it. It executes tasks and summaries, fetches emails, scans my calendar, fetches feeds (overnight), and updates devices on my local network that…