xiaomoguhzz/VisionEncoder
Upload V13.6 S2 checkpoint
Upload V13.5 S2 checkpoint
Upload V13.3 S2 checkpoint
Upload V13.2 S2 checkpoint
Upload V13.1 S2 checkpoint
Upload V13.0 S2 checkpoint
Add V12.4.6 video decode manifest
chore: remove S0 placeholder
upload V10.2 S0 main weights
chore: add S0 checkpoint directory
rename ckpts stock_{16f,32f}_10pct -> baseline_* (naming consistency)
add V10.x cache vjepa21/video_10pct_chunks
add V10.x cache qwen3vit/video_10pct_64f
add V10.x cache qwen3vit/video_10pct_32f
add V10.x cache vjepa21/image_10pct
Cleanup: remove flat 4b_stock/4b_v9_1 (moved into S2) + mistaken flat 32f dirs
Reorg: move 16f stock/v9_1 ckpts into S2 stage-first tree (drop machine name, tag 16f)
Reorg: flatten 32f ckpts to ckpts/{v10_2_32f,stock_32f}
Add 4B 32f inference ckpt under stage-first ckpts/ -> ckpts/S2/4b/qwen3_5_2b/stock_32f_10pct/v0-20260606-044138/checkpoint-785
Add 4B 32f inference ckpt under stage-first ckpts/ -> ckpts/S2/4b/qwen3_5_2b/v10_2_32f_10pct/v0-20260610-154054/checkpoint-785
remove write-path test marker
write-path test marker
docs: fix eval pointer (GitHub README step 7 -> section 4)
Update model card for data/ + ckpts/ + legacy/ restructure
Remove ckpts placeholder now that real ckpts landed
Add 4B MLLM ckpt: 4b_v9_1 (checkpoint-505, inference weights)
Add 4B MLLM ckpt: 4b_stock (checkpoint-505, inference weights)
Create ckpts/ folder for current trained checkpoints
Restructure repo into data/ + legacy/ (batch 14)
Restructure repo into data/ + legacy/ (batch 13)
Restructure repo into data/ + legacy/ (batch 12)
Restructure repo into data/ + legacy/ (batch 11)
Restructure repo into data/ + legacy/ (batch 10)
Restructure repo into data/ + legacy/ (batch 9)
Restructure repo into data/ + legacy/ (batch 8)
Restructure repo into data/ + legacy/ (batch 7)
Restructure repo into data/ + legacy/ (batch 6)
Restructure repo into data/ + legacy/ (batch 5)
Restructure repo into data/ + legacy/ (batch 4)
Restructure repo into data/ + legacy/ (batch 3)
Restructure repo into data/ + legacy/ (batch 2)
Restructure repo into data/ + legacy/ (batch 1)
Add V9 good_manifest (decode-probed video list) for collaborator repro
Add vmllm_cached cached datasets (6.2G, 693 files)
docs: add README describing checkpoint layout and training code mapping
Upload folder using huggingface_hub
Upload folder using huggingface_hub
Upload folder using huggingface_hub
Upload folder using huggingface_hub
Upload folder using huggingface_hub