Reverse cascade order: 4B (largest teacher) → 1B (graduated) → OG (base).
Three perspectives per prompt — cymatic cascading from expanded Q/K to modal primitives.
P0/P2: 404×3 = 1,212 (sandwich format, OG from lesson-lem1b.jsonl)
P1: 209×3 = 627 (OG from zen/golden multi-turn lessons)
P3: 225×3 = 675 (OG from western-fresh + russian-bridge + composure)
P4-P6: unchanged (no separate OG file — live distilled)
Co-Authored-By: Virgil <virgil@lethean.io>
All 7 phases now pull from pre-distilled responses:
- /Volumes/Data/lem/distilled-for-12b/distilled-4b-all.jsonl (7,544)
- /Volumes/Data/lem/distilled/distilled-1b-p0p5.jsonl (1,404)
- /Volumes/Data/lem/distilled/distilled-1b-golden.jsonl (12,828)
- /Volumes/Data/lem/distilled/distilled-1b-golden-reverse.jsonl (4,183)
4B responses listed first (reverse cascade order), then 1B.
P4/P5 no longer need live teacher distillation.
P6 gets all 15,000 unique 1B golden responses + 6,140 4B.
No data replicated into training/lem/model/ per model size.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Exact reproduction of all 7 CL-BPL phases for Gemma3-12B:
- P0: LEK sandwich ethics (400 iters, LR 2e-5)
- P1: Zen composure (300 iters, LR 1e-5)
- P2: LEK sandwich reinforcement (300 iters, LR 1e-5)
- P3: Freeflow multi-source (300 iters, LR 1e-5)
- P4: 1B teacher tension distillation (300 iters, LR 1e-5)
- P5: 1B teacher creative distillation (300 iters, LR 1e-5)
- P6: Golden set graduation (13479 iters, LR 1e-5)
Only model-size differences from 4B: 48GB/12GB Metal limits,
24 LoRA layers (vs 16), 12B base model path.
All phases score at checkpoint cadence via lem-scorer.
Previous wrong 12B models preserved as -no-axioms control group.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add 4 missing model cards: Gemma3-1B-layered (v1+v2), Gemma3-27B, GPT-OSS-20B
- All 9 HF models now have cards in paper/hf-cards/
- sync_hf.py: push cards + benchmarks + training data to HuggingFace
- export_parquet.py: convert JSONL training splits to Parquet (HF dataset format)
- Parquet schema: prompt, response, system, messages (JSON)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- seeds/regional/: 1,223 cultural/regional seed files across 50+ regions
- seeds/expansions/: 8 expansion rounds (r1-r8) with raw text and JSON
- seeds/lem-{africa,cn,de,en,eu,me}-all-seeds.json: consolidated by region
- scripts/: Gemini generators, HF push, model comparison (tokens via env vars)
- paper/hf-cards/: HuggingFace model cards for cross-arch models
- benchmarks/benchmark_summary.json: processed PTSD summary data
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
