Per direction shift (the-nexus#542). Replaces the autolora repo (1,500 lines of custom pipeline code) with config files for existing tools: - axolotl.yaml: replaces train_modal.py (239 lines) - mlx-lora.yaml: replaces MLX training scripts - eval-tasks.yaml: replaces run_eval.py (300 lines) - Makefile: replaces run_vibes.py, compare.py, convert_to_mlx.py Data migrated as-is: - curated_dataset.jsonl (26 gold-standard conversations) - preference_pairs.jsonl (DPO pairs) - prompts_vibes.yaml, prompts_nexus_vibes.yaml - v0-baseline eval results (historical record) Thin glue kept: - build_curated.py (data authoring, not infrastructure) - ingest_trajectories.py (domain-specific quality filter) Dependencies: pip install axolotl mlx-lm lm-evaluation-harness
28 lines
691 B
JSON
28 lines
691 B
JSON
{
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"total": 383,
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"train": 364,
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"test": 19,
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"test_ratio": 0.05,
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"split_by": "chronological",
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"test_ids": [
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"20260323_154745_7c9379",
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"20260323_155153_bbc661",
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"20260323_155458_a7563d",
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"20260323_160415_267a50",
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"20260323_160533_edc7cf",
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"20260323_160633_6fab92",
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"20260323_160736_754836",
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"20260323_160920_c90867",
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"20260323_161348_d553f0",
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"20260323_162017_83fe11",
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"20260323_162338_0267eb",
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"20260323_162704_86f56f",
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"20260323_163322_e45fa8",
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"20260323_163943_9ac5e0",
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"20260323_164605_a4aedf",
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"20260323_164606_c000d8",
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"20260323_165414_a92bf6",
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"20260323_165533_940c49",
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"20260323_170039_2a191f"
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]
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} |