Oct 23 3 days ago 15:17 Sync from GitHub via hub-sync 15:15 Sync from GitHub via hub-sync Sep 30 26 days ago 09:51 Sync from GitHub via hub-sync Sep 24 09:20 Sync from GitHub via hub-sync 08:46 Sync from GitHub via hub-sync 08:41 Sync from GitHub via hub-sync 08:15 Sync from GitHub via hub-sync Sep 23 20:22 Sync from GitHub via hub-sync 19:49 Sync from GitHub via hub-sync 19:29 Sync from GitHub via hub-sync 16:39 Sync from GitHub via hub-sync 16:38 Sync from GitHub via hub-sync Sep 17 18:00 Sync from GitHub via hub-sync Sep 15 15:07 Sync from GitHub via hub-sync Aug 28 12:17 Sync from GitHub via hub-sync Jul 30 12:56 Sync from GitHub via hub-sync Jul 16 12:39 Sync from GitHub via hub-sync 12:36 Sync from GitHub via hub-sync Jul 15 13:42 Sync from GitHub via hub-sync Jul 14 15:09 Sync from GitHub via hub-sync Jul 8 17:50 Sync from GitHub via hub-sync 11:18 Sync from GitHub via hub-sync 10:44 Sync from GitHub via hub-sync 10:35 Sync from GitHub via hub-sync 10:34 Sync from GitHub via hub-sync 07:49 Sync from GitHub via hub-sync Jul 7 23:03 Sync from GitHub via hub-sync Jul 3 09:07 Sync from GitHub via hub-sync 09:07 Sync from GitHub via hub-sync 09:02 Sync from GitHub via hub-sync 08:37 Sync from GitHub via hub-sync Jul 1 14:43 Sync from GitHub via hub-sync 14:27 Sync from GitHub via hub-sync Jun 30 13:58 Sync from GitHub via hub-sync Jun 23 15:20 Sync from GitHub via hub-sync 15:01 Sync from GitHub via hub-sync 12:45 Sync from GitHub via hub-sync Jun 22 21:20 Sync from GitHub via hub-sync 14:44 Sync from GitHub via hub-sync 11:28 Sync from GitHub via hub-sync 11:21 Sync from GitHub via hub-sync Jun 9 19:47 Sync from GitHub via hub-sync Jun 6 17:38 Sync from GitHub via hub-sync Jun 5 12:52 Sync from GitHub via hub-sync 12:02 Sync from GitHub via hub-sync 10:41 Sync from GitHub via hub-sync 09:29 Sync from GitHub via hub-sync Jun 4 14:54 Sync from GitHub via hub-sync 07:40 Sync from GitHub via hub-sync Jun 1 14:26 Add PaddleOCR-VL-1.6 script (vLLM, image-mode) PaddleOCR-VL-1.6 is a plug-and-play 0.9B upgrade of 1.5 (96.33% SOTA on
OmniDocBench v1.6). vLLM offline backend with the six task modes (ocr, table,
formula, chart, spotting, seal) and --config/--create-pr for benchmark runs.
Must run in image-mode on HF Jobs (vllm/vllm-openai image) so flashinfer's
CUDA kernels are reused; the default uv-script image has no nvcc. Verified
end-to-end on a100-large: 5/5 clean markdown on ufo-ColPali, ~240 tok/s. 
