Go lem CLI (stdlib + DuckDB) replaces scattered Python scripts: - score: heuristic regex + LLM-as-judge scoring - probe: generate responses then score - compare: diff two score files - status: InfluxDB training/generation progress - export: golden set to training JSONL splits - expand: distributed expansion via API + InfluxDB coordination New scripts from Feb 14 creative session: - scoring_agent.py: ROCm daemon that auto-scores checkpoints - probes.py: 23 binary pass/fail capability probes - convert_adapter.py: MLX to PEFT adapter conversion - score_r1_capability.py: DeepSeek R1 checkpoint scoring - lek_content_scorer.py: 6-dimension ethics content scorer - lem_train_15k.py: InfluxDB-coordinated training script - pipeline.py: DuckDB pipeline (seeds, golden set, expansion) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
14 lines
209 B
Text
14 lines
209 B
Text
.DS_Store
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.idea/
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__pycache__/
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*.pyc
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.env
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# Worker output (generated locally, not committed)
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worker/output/
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# Parquet exports (generated, sync to HF via scripts/sync_hf.py)
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training/parquet/
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# Go binary
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lem
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