Fetching metadata from the HF Docker repository...
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Update app.py
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Resolve typing_extensions version issue
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Change port to 7899
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Change port number to 7861
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Fix issue where Qwen model_name was passed as model_path for loading
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Add support for all models
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Add separate num_frames slider
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Add CUDA cache freeing before model re-loading
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Add BF16/INT8/INT4 quantization support for LLaVA-Video to fit within 23GB VRAM HF Spaces limit
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Remove s3fs version since it causes fsspec version conflict w/ other pkgs
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Drop nccl-cu12 (2.27.5 -> 2.27.3) for torch==2.8
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1. Add flash-attn 2.8.3 release link with ABI=False since it works on HF Spaces
2. Drop torch (2.9.0 -> 2.8) since 2.9+ABI=False binary unavailable
3. Drop torchvision to 0.23 to try match with torch==2.8 -
Add new requirements.txt for transformers v5
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Add transformers v5 integration to models
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Add correct models/ repo
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Add kwargs to LLaVA-Video model.chat()
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Fix generation config
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Add UI features
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Finally worked after 10 hoursgit add .!
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flash-attn ABI true -> false for HF spaces
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Just the flash-attn error. Adding it to requirements.txt
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fix LLaVA fork editable link issue in requirements.txt
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Delete llava-next local copy, fork and update requirements.txt
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Change pre-req.txt
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Change pre-req.txt
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Change pre-req.txt
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Fix pre-requirements.txt
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Add LLaVA-NExt locally
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delete binary files in llava_local
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Pre-install flag added in README.md
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Install LLaVA-NeXT without deps to avoid version conflicts
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Remove flash-attn for faster build, change LLaVA link
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Drop python_version to 3.10, fix flash-attn .whl file for Python=3.10, torch=2.6
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huggingface-hub>=0.21.0,<1.0
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Bump torch==2.5.1 -> 2.6.0
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Drop sympy==1.14.0 -> 1.13.1
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Fix triton version
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Fix flash-attn python version to 3.13 for demo compatibility
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Fix flash-attn
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Fix requirements.txt
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Fix requirements.txt
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Fix requirements.txt
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Modify requirements.txt
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Modify requirments.txt
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Add videos to Git LFS
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Initial commit without videos
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initial commit
