Roland Tannous e5c7a18f72 fix: handle unrecognized model architectures in vision detection ... AutoConfig.from_pretrained() fails for models needing transformers 5.x (e.g. glm4_moe_lite) when running with 4.57.x. Add a raw config.json fallback that bypasses AutoConfig's architecture registry — fetches config.json directly from local path or HuggingFace Hub and checks for vision indicators without needing the architecture to be registered.		2026-03-06 04:46:51 +00:00
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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: handle unrecognized model architectures in vision detection	2026-03-06 04:46:51 +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