25M tokens later, a local Qwen user says prompt adherence is the real breakthrough
mateszhun · reddit · 2026-09-18
Reddit user mateszhun ran Qwen locally for hobby projects, generating 25M tokens since release. Findings: exceptional prompt adherence — it did exactly what was asked in solo runs, going astray only once when a too-high-level task filled the context window (weak context compaction, possibly the Q4 quant). With subagents, research, planning, review and testing prompts, it handles medium-complexity tasks independently. His verdict: it raises the floor of what he expects from a model — not breakthrough-capable, but extremely consistent, which is exactly the direction coding models should improve.
More from coding & agent
- Free course covers the 4 hard problems of production generative media agents — Al_Grigor · 2026-11-04
- Quota reset night: Codex back to 100% while Claude shows just 10% left — rudrank · 2026-11-04
- Self-improving software is inevitable: closing the agent-observability loop — bibryam · 2026-11-04
- Building a 7-GPU 132GB VRAM local inference rig: consolidate on EPYC or split across two systems? — infectiousstupidity · 2026-11-04
- Founder of 50-person, 12-country team says he talks to AI agents more than humans — Scobleizer · 2026-11-04
- Pi launches a minimal agent harness; Zammoth adds AI engineer to Mac music app — solyarisoftware · 2026-11-04