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Author SHA1 Message Date
099948b3d1 fix: use PYTHON variable in training Makefile
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On macOS where only python3 is installed (no python shim), bare
`python` calls fail with 'No such file or directory'.

Adds `PYTHON ?= python3` variable. Replaces all bare `python`
calls with `$(PYTHON)` across: train-local, vibes,
adversary-value-violations, ingest, curated, convert.

Override: make vibes PYTHON=python

Closes #660
Refs Timmy_Foundation/the-nexus#1471
2026-04-17 06:39:05 +00:00
ef58883a26 fix: use PYTHON variable in training Makefile for portability (closes #660)
Added PYTHON ?= python3 variable and replaced all bare python calls.
Fixes macOS where only python3 is installed.

Refs #660
2026-04-17 02:37:47 -04:00
Merge Bot
a27061b38b Merge PR #653: training/Makefile (changed) 2026-04-16 05:12:07 +00:00
Merge Bot
fb5f2908e5 Merge PR #760: training/Makefile (changed) 2026-04-16 05:07:27 +00:00
perplexity
6507cffc15 feat: migrate autolora pipeline into training/
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
2026-03-25 23:05:50 +00:00