Roland Tannous b5cfd0952c fix: use subprocess with transformers 5.x for vision detection ... Models like GLM-4.7-Flash have architectures (glm4_moe_lite) that AutoConfig in the main process (transformers 4.57.x) can't recognize. Instead of a raw config.json workaround, run the AutoConfig check in a subprocess with .venv_t5/ activated — same pattern as training and inference workers. This is more robust and consistent.		2026-03-06 04:51:23 +00:00
..
assets	Add GLM, Qwen3 MoE, TinyQwen3 MoE, and Ministral 3 VL model defaults and GLM train_on_responses_only mapping	2026-02-23 05:51:43 +00:00
auth	fix: replace datetime.UTC with timezone.utc for Python 3.9+ compatibility	2026-02-24 14:37:00 -06:00
core	fix: indentation error in orchestrator load_model	2026-03-05 19:43:30 +00:00
loggers	root studio folder	2026-02-02 09:13:49 +00:00
models	feat: parallel URL image probe with time estimate and progress reporting	2026-03-04 23:40:38 +00:00
requirements	feat: introduce single-env Python dependency management for streamlined compatibility	2026-02-24 07:45:40 +01:00
routes	fix: unload inference model before training to free GPU memory	2026-03-05 22:28:11 +00:00
state	root studio folder	2026-02-02 09:13:49 +00:00
tests	added @needs_torch to test_cuda_oom	2026-02-11 16:12:37 +00:00
utils	fix: use subprocess with transformers 5.x for vision detection	2026-03-06 04:51:23 +00:00
colab.py	feat: Add simple 2-cell Colab notebook (no tunnel needed)	2026-02-17 04:57:30 -06:00
main.py	refactor: consolidate version switching to .venv_t5, remove .venv_overlay	2026-03-06 04:37:06 +00:00
run.py	fix path in run_server	2026-02-14 05:06:17 +00:00