timmy-config

Author	SHA1	Message	Date
Alexander Whitestone	cae23d8bd9	feat: 500 visual scene prompt enhancement pairs (#600 ) Some checks failed Architecture Lint / Linter Tests (pull_request) Successful in 33s Details Smoke Test / smoke (pull_request) Failing after 29s Details Validate Config / YAML Lint (pull_request) Failing after 23s Details Validate Config / JSON Validate (pull_request) Successful in 23s Details Validate Config / Shell Script Lint (pull_request) Failing after 1m18s Details Validate Config / Cron Syntax Check (pull_request) Successful in 14s Details Validate Config / Deploy Script Dry Run (pull_request) Successful in 12s Details Validate Config / Python Syntax & Import Check (pull_request) Failing after 1m58s Details Validate Config / Playbook Schema Validation (pull_request) Successful in 18s Details PR Checklist / pr-checklist (pull_request) Failing after 11m49s Details Architecture Lint / Lint Repository (pull_request) Has been cancelled Details Validate Config / Python Test Suite (pull_request) Has been cancelled Details Terse→rich prompt expansion pairs for visual scene generation. Domains: landscapes, portraits, abstract, fantasy Format: {terse, rich, domain} Count: 500 pairs, 435 unique terse inputs Output: training/data/prompt-enhancement/visual-scenes-500.jsonl Closes #600	2026-04-15 07:36:01 -04:00
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

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