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
..
datasets	feat: parallel URL image probe with time estimate and progress reporting	2026-03-04 23:40:38 +00:00
hardware	Force num_proc=1 on Windows to avoid slow spawn overhead	2026-03-01 13:05:10 +00:00
inference	added the inference fetching from model mappers	2026-02-15 02:48:53 -07:00
models	fix: support mmproj for local vision GGUF models + fix Windows pipe deadlock	2026-03-01 12:58:38 +00:00
paths	fix lora: outputs path local	2026-02-15 16:58:24 +01:00
.gitkeep	root studio folder	2026-02-02 09:13:49 +00:00
cache_cleanup.py	feat: clear unsloth_compiled_cache on startup, shutdown, and between model loads	2026-02-23 07:26:22 +00:00
utils.py	replace torch MPS with MLX	2026-02-11 16:04:35 +00:00