Local LLM test: trading 21K context for higher quants cut coding time from 8h to 6h
Boricua-vet · reddit · 2026-10-17
A Reddit user shares first-hand benchmarks running Qwen 27B locally: sacrificing context length for higher quants paid off.
- Previously ran Unsloth IQ4XS: 96K context in 20GB VRAM, but drafts were error-prone, wasting tokens and time on fixes
- Switched to UDQ4KS with KV quant bumped from F16 to Q8: context dropped from 96K to 75K, but better model quality meant far fewer draft errors
- Same test (build a single-file Pac-Man arcade game in HTML with procedural canvas graphics, Web Audio synthesized sound, no external deps): IQ4XS took 8 hours, KS under 6
- Takeaway for GPU-poor users: higher quants beat bigger context for coding; KV compaction costs seconds, fixing bad drafts costs minutes
- Full test prompt included in the post
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