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Pace handoff — posttrainllm deliverables status (2026-06-10)

Pace handoff — posttrainllm deliverables status (2026-06-10)

posttrainllm (the factory) refocuses on local-LLM research. This doc freezes the state of everything posttrainllm owes or has delivered to Pace (the consumer), so either repo can pick up any thread without re-deriving context.

Delivered — done, shipped, in use

Deliverable Where State
v9 planner LoRA (shipping specialist) ~/.cache/posttrainllm/runs/pace-planner-v9/ 33.3% v2 / 70% compose; not Pace’s runtime default (see below)
ANE M8 28-block chain posttrainllm ANE scripts 17 tok/s, ’ Paris’ top-1 correct
v10 action registry + schema grammars/v10-actions/ → copied into pace/leanring-buddy/Resources/ Pace bundles its own copy; registry validates at app startup
Serve: grammar constraint, EOS stops, prompt cache, TTFW 119ms warm, partial-JSON streaming TinyGPTServe Pace consumes via localhost HTTP
WhisperKit qualification memory + benchmarks large-v3-turbo: 1.5GB, 9× realtime — Pace’s provider scaffold awaits streaming wiring
Qwen3-Embedding-0.6B qualification memory qualified for RAG; Pace’s v1 retrieval shipped lexical instead — embedding upgrade is a future option
Stage A dictation post-processor pace/leanring-buddy/PaceDictationPostProcessor.swift + 26 tests committed 2026-06-10
v11 eval suites (60 unhappy fixtures + 96 BFCL-12) pace/evals/fm-fixtures-{oos,ambig,destructive} + ~/.cache/posttrainllm/datasets/bfcl/BFCL_v3_pace12.json held-out; baselines locked in docs/v11-baselines-2026-06-09.md

Ready to fire — one command, needs GPU free

v11 planner train-and-gate: bash scripts/v11_pipeline.sh [--amplify]

  • Corpus: 492 rows merged now; --amplify adds 150-180 judge-filtered rows (90 min, needs LM Studio + Qwen3-14B)
  • Trains DoRA r32/a64, bakes, serves with v11 grammar (7 intents), runs all 6 ship-gate dimensions + non-regression + formula score
  • Verdict against docs/prds/pace-planner-v11-ship-gate.md — ship iff ALL six clear
  • Important reframe: Pace’s runtime planner default is currently qwen/qwen3-30b-a3b via LM Studio (set in Pace’s Info.plist), NOT the posttrainllm specialist. v11’s real bar is beating the 30B on (speed × accuracy) / cost, not just beating v9. Add a 30B comparison row to the eval before deciding ship.

Owed — open posttrainllm work Pace is waiting on

# Work Why Pace needs it Size
#266 VLM in-process runtime (Qwen3-VL or UI-Venus M4 port) Pace’s ScreenAnalysisProvider: inProcess/coreML/mlx options are stubs falling back to LM Studio HTTP days — the next big factory project
#308 VLM A/B (UI-Venus vs Qwen3-VL-2B) picks the #266 port target 1-2 days; needs screenshots + GPU
#292-adj WhisperKit streaming runtime wiring Pace’s TranscriptionProvider: whisperKit scaffold falls back to Apple Speech mostly Pace-side; posttrainllm advises
#306 macOS 26 int8 ANE handoff into M8 ~1.8× ANE speedup primitive perf research track
#303/#305 Quantization pass + Swift QuantizedLinear smaller shipping models perf research track

Decisions frozen (do not re-litigate without new data)

  • Planner iteration FREEZES after one v11 run — ship or fail, no v11.1/v12 this month (ship gate)
  • Nemotron is a full ASR replacement, not a dictation post-processor — Stage A is regex; Stage B (trained) only if telemetry shows formatting errors matter
  • APIGen-MT-5k is CC-BY-NC — commercial training data must come from Hermes-FC-v1 (Apache) or own synthesis
  • GEPA prompt evolution parked until after v11 (PRD)

Coordination notes

  • Another agent works in pace repo; posttrainllm-side work avoids contention
  • pace branch: eval/fm-fixtures-v2 (6 commits ahead as of this doc, pushed)
  • GPU/LM Studio is a shared resource — check lms ps + ps aux | grep eval-planners before loading models

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