Roland Tannous 9ca45826d4 feat: parallel URL image probe with time estimate and progress reporting ... - Add 200-sample parallel probe using ThreadPoolExecutor + safe_num_proc to estimate download speed and failure rate before full conversion - Abort with clear error if >=30% of probe images fail to download - Show estimated download time in the training overlay modal - Parallel batch conversion for URL-based datasets (vs sequential for local) - Add warning field to /check-format response for URL-based image datasets - Display URL warning in dataset preview dialog (amber banner) - Thread progress_callback from trainer through format_and_template_dataset to convert_to_vlm_format for real-time status updates		2026-03-04 23:40:38 +00:00
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data_recipe	refactor(data-recipe): split recipe backend routes for readability (seed/validate/jobs)	2026-02-26 14:05:32 +01:00
.gitkeep	root studio folder	2026-02-02 09:13:49 +00:00
__init__.py	merge nightly	2026-02-15 14:52:07 +01:00
auth.py	fix: rollback auth.db user row if token generation fails during setup	2026-02-13 10:11:07 +00:00
datasets.py	feat: parallel URL image probe with time estimate and progress reporting	2026-03-04 23:40:38 +00:00
export.py	Adding metadata for checkpoints	2026-02-16 23:46:17 +00:00
inference.py	fix: support mmproj for local vision GGUF models + fix Windows pipe deadlock	2026-03-01 12:58:38 +00:00
models.py	Merge branch 'nightly' into feat/gguf-llama-cpp-inference	2026-02-25 16:06:03 +04:00
training.py	feat: add index range dataset slicing to studio training page	2026-03-04 23:24:09 +00:00