Qwen3.8-27B on 16GB VRAM + upcoming 32GB RAM (dual-channel) — quantization vs context tradeoff for a local coding-agent worker
This story is from 2026-09-17. It is preserved in the archive; the latest stories are on the live feed.
Building a dedicated Linux box to run a local LLM as a "worker" model under an orchestrator (a cloud model delegates coding subtasks to it via OpenCode), mainly to cut down on cloud subscription usage. Specs: RTX 5060 Ti 16GB, Ryzen 7 5700X, currently 16GB RAM single-channel (one stick from a misma…
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