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| arxiv | ||
| papers | ||
| README.md | ||
Local Model Workers — Lab Report Series
Measured experiments running agentic coding workers on local open-weight models, on one Apple workstation (M5 Max, 128 GB unified memory), against cloud yardsticks. Every number in these reports comes from a run on real tasks with recorded logs; nothing is estimated.
Papers
| # | Date | Title | Status | |
|---|---|---|---|---|
| 1 | 2026-10-15 | Can open-weight local models act as the workers in an agentic coding workflow? | lab report | paper.pdf |
| 2 | 2026-10-16 | Can a local coding setup run beside normal work? (serving stack, prompt shape, harness repair) | lab report | paper2.pdf |
| 3 | 2026-10-17 | Quantisation, serving and harness repair: what it takes to run a local coder beside real work | lab report — numbers pending daylight build verification | paper3.pdf |
Each directory holds the LaTeX source, the compiled PDF and the shared bibliography.
Findings in one line each
- Paper 1: No for real application fixes at night-1 state — the local models find the code only when the task names the file and function.
- Paper 2: The bottleneck was the serving stack, not the model — fixing the prefix-cache path took a local model from unusable to ~2× Sonnet wall time on one-function fixes; the harness itself needs repair hooks (path repair) for local models to function at all.
- Paper 3: Quant lift replicates across families (4-bit→8-bit: 4/6→5/6 on two families); a 30B-A3B at 8-bit delivers rank-1 quality at half the resident memory; SSD-paged 125B-class models complete real tasks at ~3 tok/s — paging, not the model, is the limit; the remaining failure classes (invented paths, dotted tool names) are model-side and partly harness-repairable.
Method notes
- Suite: paired A/B arms on replayed real fixes with known answers; buildless diff-grading during runs, build-verified verdicts in a separate daylight pass.
- Machine: one 128 GB M5 Max, one model server at a time, memory watchdog.
- Replication rule: no single-run verdicts.
- Instrumentation: PAI (open source), runs recorded in the reports.
Plans
- arXiv submission of the series once the daylight build-verification pass confirms paper 3's rankings.