diff --git a/.dockerignore b/.dockerignore new file mode 100644 index 0000000000000000000000000000000000000000..e98058ee30350a2be1da90c47bf2f335ec21457b --- /dev/null +++ b/.dockerignore @@ -0,0 +1,21 @@ +# The .dockerignore file excludes files from the container build process. +# +# https://docs.docker.com/engine/reference/builder/#dockerignore-file + +# Exclude Git files +.git +.github +.gitignore + +# Exclude Python cache files +__pycache__ +.mypy_cache +.pytest_cache +.ruff_cache + +# Exclude Python virtual environment +/venv + +# Exclude some weights +/openai +/liuhaotian diff --git a/.editorconfig b/.editorconfig new file mode 100644 index 0000000000000000000000000000000000000000..d99a490bee397f969e93faa0c083b69674435ee8 --- /dev/null +++ b/.editorconfig @@ -0,0 +1,18 @@ +root = true + +# Unix-style newlines with a newline ending every file +[*] +end_of_line = lf +insert_final_newline = true +trim_trailing_whitespace = true +charset = utf-8 + +# 4 space indentation +[*.{py,json}] +indent_style = space +indent_size = 4 + +# 2 space indentation +[*.{md,sh,yaml,yml}] +indent_style = space +indent_size = 2 \ No newline at end of file diff --git a/.gitattributes b/.gitattributes index 1ef325f1b111266a6b26e0196871bd78baa8c2f3..5462cde720b76950382f4f83eb14d08ac438edaa 100644 --- a/.gitattributes +++ b/.gitattributes @@ -1,59 +1,29 @@ -*.7z filter=lfs diff=lfs merge=lfs -text -*.arrow filter=lfs diff=lfs merge=lfs -text -*.bin filter=lfs diff=lfs merge=lfs -text -*.bz2 filter=lfs diff=lfs merge=lfs -text -*.ckpt filter=lfs diff=lfs merge=lfs -text -*.ftz filter=lfs diff=lfs merge=lfs -text -*.gz filter=lfs diff=lfs merge=lfs -text -*.h5 filter=lfs diff=lfs merge=lfs -text -*.joblib filter=lfs diff=lfs merge=lfs -text -*.lfs.* filter=lfs diff=lfs merge=lfs -text -*.lz4 filter=lfs diff=lfs merge=lfs -text -*.mds filter=lfs diff=lfs merge=lfs -text -*.mlmodel filter=lfs diff=lfs merge=lfs -text -*.model filter=lfs diff=lfs merge=lfs -text -*.msgpack filter=lfs diff=lfs merge=lfs -text -*.npy filter=lfs diff=lfs merge=lfs -text -*.npz filter=lfs diff=lfs merge=lfs -text -*.onnx filter=lfs diff=lfs merge=lfs -text -*.ot filter=lfs diff=lfs merge=lfs -text -*.parquet filter=lfs diff=lfs merge=lfs -text -*.pb filter=lfs diff=lfs merge=lfs -text -*.pickle filter=lfs diff=lfs merge=lfs -text -*.pkl filter=lfs diff=lfs merge=lfs -text -*.pt filter=lfs diff=lfs merge=lfs -text -*.pth filter=lfs diff=lfs merge=lfs -text -*.rar filter=lfs diff=lfs merge=lfs -text -*.safetensors filter=lfs diff=lfs merge=lfs -text -saved_model/**/* filter=lfs diff=lfs merge=lfs -text -*.tar.* filter=lfs diff=lfs merge=lfs -text -*.tar filter=lfs diff=lfs merge=lfs -text -*.tflite filter=lfs diff=lfs merge=lfs -text -*.tgz filter=lfs diff=lfs merge=lfs -text -*.wasm filter=lfs diff=lfs merge=lfs -text -*.xz filter=lfs diff=lfs merge=lfs -text -*.zip filter=lfs diff=lfs merge=lfs -text -*.zst filter=lfs diff=lfs merge=lfs -text -*tfevents* filter=lfs diff=lfs merge=lfs -text -# Audio files - uncompressed -*.pcm filter=lfs diff=lfs merge=lfs -text -*.sam filter=lfs diff=lfs merge=lfs -text -*.raw filter=lfs diff=lfs merge=lfs -text -# Audio files - compressed -*.aac filter=lfs diff=lfs merge=lfs -text -*.flac filter=lfs diff=lfs merge=lfs -text -*.mp3 filter=lfs diff=lfs merge=lfs -text -*.ogg filter=lfs diff=lfs merge=lfs -text -*.wav filter=lfs diff=lfs merge=lfs -text -# Image files - uncompressed -*.bmp filter=lfs diff=lfs merge=lfs -text -*.gif filter=lfs diff=lfs merge=lfs -text -*.png filter=lfs diff=lfs merge=lfs -text -*.tiff filter=lfs diff=lfs merge=lfs -text -# Image files - compressed -*.jpg filter=lfs diff=lfs merge=lfs -text -*.jpeg filter=lfs diff=lfs merge=lfs -text -*.webp filter=lfs diff=lfs merge=lfs -text -# Video files - compressed -*.mp4 filter=lfs diff=lfs merge=lfs -text -*.webm filter=lfs diff=lfs merge=lfs -text +# https://git-scm.com/docs/gitattributes + +# Set the default behavior, in case people don't have core.autocrlf set. +# https://git-scm.com/docs/gitattributes#_end_of_line_conversion +* text=auto + +# common python attributes, taken from https://github.com/alexkaratarakis/gitattributes/blob/710900479a2bedeec7003d381719521ffbb18bf8/Python.gitattributes +# Source files +# ============ +*.pxd text diff=python +*.py text diff=python +*.py3 text diff=python +*.pyw text diff=python +*.pyx text diff=python +*.pyz text diff=python +*.pyi text diff=python + +# Binary files +# ============ +*.db binary +*.p binary +*.pkl binary +*.pickle binary +*.pyc binary export-ignore +*.pyo binary export-ignore +*.pyd binary + +# Jupyter notebook +*.ipynb text eol=lf diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..747e3b55f71de1a8ffbfcdff8665d6cec882c386 --- /dev/null +++ b/.gitignore @@ -0,0 +1,81 @@ +# Python +__pycache__ +*.pyc +*.egg-info +dist + +# Log +*.log +*.log.* +# *.json +# *.jsonl + +# Data +!**/alpaca-data-conversation.json +# Editor +.idea +*.swp +.vscode + +# Other +.DS_Store +wandb +output +llavavid + +checkpoints +project_checkpoints +debug_checkpoints +playground/data +playground/cc3m_llava34b_cap +ckpts* + +.ipynb_checkpoints +chunyl_scripts +*.ipynb + +# DevContainer +!.devcontainer/* + +# Demo +serve_images/ +notebooks/ +logs +scripts/dist_* +logs/ +submissions/ +cn_scripts/ +internal_project_checkpoints/ +work_dirs +workdir +.venv +venv +scripts/i18n/* +playground/.nfs028b000000010add00000001 +HIP +playground/.nfs028b0000017bff2c00000012 +scripts/qwen +scripts/vicuna +scripts/mistral +scripts/baseline_rep +scripts/cn_boli01_hl +scripts/cn_boli01_lf +scripts/cn_lf +scripts/cn_lq +scripts/cn_yg +scripts/cn_yg_hao +scripts/eva_encoder +scripts/i18n +scripts/i18n_higher_res +scripts/multi-images +scratchpad +build/ +playground/*.json +mlx_configs/ +data_processing/ +# demo/ +.python-version +uv.lock +# nas +.nfs* +data/ \ No newline at end of file diff --git a/.vscode/launch.json b/.vscode/launch.json new file mode 100644 index 0000000000000000000000000000000000000000..a1ef1adb30856bdb2baa064011c4b92e25f906fc --- /dev/null +++ b/.vscode/launch.json @@ -0,0 +1,26 @@ +{ + // 使用 IntelliSense 了解相关属性。 + // 悬停以查看现有属性的描述。 + // 欲了解更多信息，请访问: https://go.microsoft.com/fwlink/?linkid=830387 + "version": "0.2.0", + "configurations": [ + { + "name": "sh_file_debug", + "type": "debugpy", + "request": "attach", + "connect": { + "host": "localhost", + "port": 9518 + }, + "justMyCode": false + }, + { + "name": "Python 调试程序: 包含参数的当前文件", + "type": "debugpy", + "request": "launch", + "program": "${file}", + "console": "integratedTerminal", + "args": "${command:pickArgs}" + } + ] +} \ No newline at end of file diff --git a/11video_r1_training_model_keys.json b/11video_r1_training_model_keys.json new file mode 100644 index 0000000000000000000000000000000000000000..a1b158b94eccdee7eae7fcec4717c6abcc2e093f --- /dev/null +++ b/11video_r1_training_model_keys.json @@ -0,0 +1,842 @@ +{ + "total": 825, + "first_10": [ + "visual.patch_embed.proj.weight", + "visual.blocks.0.norm1.weight", + "visual.blocks.0.norm2.weight", + "visual.blocks.0.attn.qkv.weight", + "visual.blocks.0.attn.qkv.bias", + "visual.blocks.0.attn.proj.weight", + "visual.blocks.0.attn.proj.bias", + "visual.blocks.0.mlp.gate_proj.weight", + "visual.blocks.0.mlp.gate_proj.bias", + "visual.blocks.0.mlp.up_proj.weight" + ], + "all_keys": [ + "visual.patch_embed.proj.weight", + "visual.blocks.0.norm1.weight", + "visual.blocks.0.norm2.weight", + "visual.blocks.0.attn.qkv.weight", + "visual.blocks.0.attn.qkv.bias", + "visual.blocks.0.attn.proj.weight", + "visual.blocks.0.attn.proj.bias", + "visual.blocks.0.mlp.gate_proj.weight", + "visual.blocks.0.mlp.gate_proj.bias", + "visual.blocks.0.mlp.up_proj.weight", + "visual.blocks.0.mlp.up_proj.bias", + "visual.blocks.0.mlp.down_proj.weight", + "visual.blocks.0.mlp.down_proj.bias", + "visual.blocks.1.norm1.weight", + "visual.blocks.1.norm2.weight", + "visual.blocks.1.attn.qkv.weight", + "visual.blocks.1.attn.qkv.bias", + "visual.blocks.1.attn.proj.weight", + "visual.blocks.1.attn.proj.bias", + "visual.blocks.1.mlp.gate_proj.weight", + "visual.blocks.1.mlp.gate_proj.bias", + "visual.blocks.1.mlp.up_proj.weight", + "visual.blocks.1.mlp.up_proj.bias", + "visual.blocks.1.mlp.down_proj.weight", + "visual.blocks.1.mlp.down_proj.bias", + "visual.blocks.2.norm1.weight", + "visual.blocks.2.norm2.weight", + "visual.blocks.2.attn.qkv.weight", + "visual.blocks.2.attn.qkv.bias", + "visual.blocks.2.attn.proj.weight", + "visual.blocks.2.attn.proj.bias", + "visual.blocks.2.mlp.gate_proj.weight", + "visual.blocks.2.mlp.gate_proj.bias", + "visual.blocks.2.mlp.up_proj.weight", + "visual.blocks.2.mlp.up_proj.bias", + "visual.blocks.2.mlp.down_proj.weight", + "visual.blocks.2.mlp.down_proj.bias", + "visual.blocks.3.norm1.weight", + "visual.blocks.3.norm2.weight", + "visual.blocks.3.attn.qkv.weight", + "visual.blocks.3.attn.qkv.bias", + "visual.blocks.3.attn.proj.weight", + "visual.blocks.3.attn.proj.bias", + "visual.blocks.3.mlp.gate_proj.weight", + "visual.blocks.3.mlp.gate_proj.bias", + "visual.blocks.3.mlp.up_proj.weight", + "visual.blocks.3.mlp.up_proj.bias", + "visual.blocks.3.mlp.down_proj.weight", + "visual.blocks.3.mlp.down_proj.bias", + "visual.blocks.4.norm1.weight", + "visual.blocks.4.norm2.weight", + "visual.blocks.4.attn.qkv.weight", + "visual.blocks.4.attn.qkv.bias", + "visual.blocks.4.attn.proj.weight", + "visual.blocks.4.attn.proj.bias", + "visual.blocks.4.mlp.gate_proj.weight", + "visual.blocks.4.mlp.gate_proj.bias", + "visual.blocks.4.mlp.up_proj.weight", + "visual.blocks.4.mlp.up_proj.bias", + "visual.blocks.4.mlp.down_proj.weight", + "visual.blocks.4.mlp.down_proj.bias", + "visual.blocks.5.norm1.weight", + "visual.blocks.5.norm2.weight", + "visual.blocks.5.attn.qkv.weight", + "visual.blocks.5.attn.qkv.bias", + "visual.blocks.5.attn.proj.weight", + "visual.blocks.5.attn.proj.bias", + "visual.blocks.5.mlp.gate_proj.weight", + "visual.blocks.5.mlp.gate_proj.bias", + "visual.blocks.5.mlp.up_proj.weight", + "visual.blocks.5.mlp.up_proj.bias", + "visual.blocks.5.mlp.down_proj.weight", + "visual.blocks.5.mlp.down_proj.bias", + "visual.blocks.6.norm1.weight", + "visual.blocks.6.norm2.weight", + "visual.blocks.6.attn.qkv.weight", + "visual.blocks.6.attn.qkv.bias", + "visual.blocks.6.attn.proj.weight", + "visual.blocks.6.attn.proj.bias", + "visual.blocks.6.mlp.gate_proj.weight", + "visual.blocks.6.mlp.gate_proj.bias", + "visual.blocks.6.mlp.up_proj.weight", + "visual.blocks.6.mlp.up_proj.bias", + "visual.blocks.6.mlp.down_proj.weight", + "visual.blocks.6.mlp.down_proj.bias", + "visual.blocks.7.norm1.weight", + "visual.blocks.7.norm2.weight", + "visual.blocks.7.attn.qkv.weight", + "visual.blocks.7.attn.qkv.bias", + "visual.blocks.7.attn.proj.weight", + "visual.blocks.7.attn.proj.bias", + "visual.blocks.7.mlp.gate_proj.weight", + "visual.blocks.7.mlp.gate_proj.bias", + "visual.blocks.7.mlp.up_proj.weight", + "visual.blocks.7.mlp.up_proj.bias", + "visual.blocks.7.mlp.down_proj.weight", + "visual.blocks.7.mlp.down_proj.bias", + "visual.blocks.8.norm1.weight", + "visual.blocks.8.norm2.weight", + "visual.blocks.8.attn.qkv.weight", + "visual.blocks.8.attn.qkv.bias", + "visual.blocks.8.attn.proj.weight", + "visual.blocks.8.attn.proj.bias", + "visual.blocks.8.mlp.gate_proj.weight", + "visual.blocks.8.mlp.gate_proj.bias", + "visual.blocks.8.mlp.up_proj.weight", + "visual.blocks.8.mlp.up_proj.bias", + "visual.blocks.8.mlp.down_proj.weight", + "visual.blocks.8.mlp.down_proj.bias", + "visual.blocks.9.norm1.weight", + "visual.blocks.9.norm2.weight", + "visual.blocks.9.attn.qkv.weight", + "visual.blocks.9.attn.qkv.bias", + "visual.blocks.9.attn.proj.weight", + "visual.blocks.9.attn.proj.bias", + "visual.blocks.9.mlp.gate_proj.weight", + "visual.blocks.9.mlp.gate_proj.bias", + "visual.blocks.9.mlp.up_proj.weight", + "visual.blocks.9.mlp.up_proj.bias", + "visual.blocks.9.mlp.down_proj.weight", + "visual.blocks.9.mlp.down_proj.bias", + "visual.blocks.10.norm1.weight", + "visual.blocks.10.norm2.weight", + "visual.blocks.10.attn.qkv.weight", + "visual.blocks.10.attn.qkv.bias", + "visual.blocks.10.attn.proj.weight", + "visual.blocks.10.attn.proj.bias", + "visual.blocks.10.mlp.gate_proj.weight", + "visual.blocks.10.mlp.gate_proj.bias", + "visual.blocks.10.mlp.up_proj.weight", + "visual.blocks.10.mlp.up_proj.bias", + "visual.blocks.10.mlp.down_proj.weight", + "visual.blocks.10.mlp.down_proj.bias", + "visual.blocks.11.norm1.weight", + "visual.blocks.11.norm2.weight", + "visual.blocks.11.attn.qkv.weight", + "visual.blocks.11.attn.qkv.bias", + "visual.blocks.11.attn.proj.weight", + "visual.blocks.11.attn.proj.bias", + "visual.blocks.11.mlp.gate_proj.weight", + "visual.blocks.11.mlp.gate_proj.bias", + "visual.blocks.11.mlp.up_proj.weight", + "visual.blocks.11.mlp.up_proj.bias", + "visual.blocks.11.mlp.down_proj.weight", + "visual.blocks.11.mlp.down_proj.bias", + "visual.blocks.12.norm1.weight", + "visual.blocks.12.norm2.weight", + "visual.blocks.12.attn.qkv.weight", + "visual.blocks.12.attn.qkv.bias", + "visual.blocks.12.attn.proj.weight", + "visual.blocks.12.attn.proj.bias", + "visual.blocks.12.mlp.gate_proj.weight", + "visual.blocks.12.mlp.gate_proj.bias", + "visual.blocks.12.mlp.up_proj.weight", + "visual.blocks.12.mlp.up_proj.bias", + "visual.blocks.12.mlp.down_proj.weight", + "visual.blocks.12.mlp.down_proj.bias", + "visual.blocks.13.norm1.weight", + "visual.blocks.13.norm2.weight", + "visual.blocks.13.attn.qkv.weight", + "visual.blocks.13.attn.qkv.bias", + "visual.blocks.13.attn.proj.weight", + "visual.blocks.13.attn.proj.bias", + "visual.blocks.13.mlp.gate_proj.weight", + "visual.blocks.13.mlp.gate_proj.bias", + "visual.blocks.13.mlp.up_proj.weight", + "visual.blocks.13.mlp.up_proj.bias", + "visual.blocks.13.mlp.down_proj.weight", + "visual.blocks.13.mlp.down_proj.bias", + "visual.blocks.14.norm1.weight", + "visual.blocks.14.norm2.weight", + "visual.blocks.14.attn.qkv.weight", + "visual.blocks.14.attn.qkv.bias", + "visual.blocks.14.attn.proj.weight", + "visual.blocks.14.attn.proj.bias", + "visual.blocks.14.mlp.gate_proj.weight", + "visual.blocks.14.mlp.gate_proj.bias", + "visual.blocks.14.mlp.up_proj.weight", + "visual.blocks.14.mlp.up_proj.bias", + "visual.blocks.14.mlp.down_proj.weight", + "visual.blocks.14.mlp.down_proj.bias", + "visual.blocks.15.norm1.weight", + "visual.blocks.15.norm2.weight", + "visual.blocks.15.attn.qkv.weight", + "visual.blocks.15.attn.qkv.bias", + "visual.blocks.15.attn.proj.weight", + "visual.blocks.15.attn.proj.bias", + "visual.blocks.15.mlp.gate_proj.weight", + "visual.blocks.15.mlp.gate_proj.bias", + "visual.blocks.15.mlp.up_proj.weight", + "visual.blocks.15.mlp.up_proj.bias", + "visual.blocks.15.mlp.down_proj.weight", + "visual.blocks.15.mlp.down_proj.bias", + "visual.blocks.16.norm1.weight", + "visual.blocks.16.norm2.weight", + "visual.blocks.16.attn.qkv.weight", + "visual.blocks.16.attn.qkv.bias", + "visual.blocks.16.attn.proj.weight", + "visual.blocks.16.attn.proj.bias", + "visual.blocks.16.mlp.gate_proj.weight", + "visual.blocks.16.mlp.gate_proj.bias", + "visual.blocks.16.mlp.up_proj.weight", + "visual.blocks.16.mlp.up_proj.bias", + "visual.blocks.16.mlp.down_proj.weight", + "visual.blocks.16.mlp.down_proj.bias", + "visual.blocks.17.norm1.weight", + "visual.blocks.17.norm2.weight", + "visual.blocks.17.attn.qkv.weight", + "visual.blocks.17.attn.qkv.bias", + "visual.blocks.17.attn.proj.weight", + "visual.blocks.17.attn.proj.bias", + "visual.blocks.17.mlp.gate_proj.weight", + "visual.blocks.17.mlp.gate_proj.bias", + "visual.blocks.17.mlp.up_proj.weight", + "visual.blocks.17.mlp.up_proj.bias", + "visual.blocks.17.mlp.down_proj.weight", + "visual.blocks.17.mlp.down_proj.bias", + "visual.blocks.18.norm1.weight", + "visual.blocks.18.norm2.weight", + "visual.blocks.18.attn.qkv.weight", + "visual.blocks.18.attn.qkv.bias", + "visual.blocks.18.attn.proj.weight", + "visual.blocks.18.attn.proj.bias", + "visual.blocks.18.mlp.gate_proj.weight", + "visual.blocks.18.mlp.gate_proj.bias", + "visual.blocks.18.mlp.up_proj.weight", + "visual.blocks.18.mlp.up_proj.bias", + "visual.blocks.18.mlp.down_proj.weight", + "visual.blocks.18.mlp.down_proj.bias", + "visual.blocks.19.norm1.weight", + "visual.blocks.19.norm2.weight", + "visual.blocks.19.attn.qkv.weight", + "visual.blocks.19.attn.qkv.bias", + "visual.blocks.19.attn.proj.weight", + "visual.blocks.19.attn.proj.bias", + "visual.blocks.19.mlp.gate_proj.weight", + "visual.blocks.19.mlp.gate_proj.bias", + "visual.blocks.19.mlp.up_proj.weight", + "visual.blocks.19.mlp.up_proj.bias", + "visual.blocks.19.mlp.down_proj.weight", + "visual.blocks.19.mlp.down_proj.bias", + "visual.blocks.20.norm1.weight", + "visual.blocks.20.norm2.weight", + "visual.blocks.20.attn.qkv.weight", + "visual.blocks.20.attn.qkv.bias", + "visual.blocks.20.attn.proj.weight", + "visual.blocks.20.attn.proj.bias", + "visual.blocks.20.mlp.gate_proj.weight", + "visual.blocks.20.mlp.gate_proj.bias", + "visual.blocks.20.mlp.up_proj.weight", + "visual.blocks.20.mlp.up_proj.bias", + "visual.blocks.20.mlp.down_proj.weight", + "visual.blocks.20.mlp.down_proj.bias", + "visual.blocks.21.norm1.weight", + "visual.blocks.21.norm2.weight", + "visual.blocks.21.attn.qkv.weight", + "visual.blocks.21.attn.qkv.bias", + "visual.blocks.21.attn.proj.weight", + "visual.blocks.21.attn.proj.bias", + "visual.blocks.21.mlp.gate_proj.weight", + "visual.blocks.21.mlp.gate_proj.bias", + "visual.blocks.21.mlp.up_proj.weight", + "visual.blocks.21.mlp.up_proj.bias", + "visual.blocks.21.mlp.down_proj.weight", + "visual.blocks.21.mlp.down_proj.bias", + "visual.blocks.22.norm1.weight", + "visual.blocks.22.norm2.weight", + "visual.blocks.22.attn.qkv.weight", + "visual.blocks.22.attn.qkv.bias", + "visual.blocks.22.attn.proj.weight", + "visual.blocks.22.attn.proj.bias", + "visual.blocks.22.mlp.gate_proj.weight", + "visual.blocks.22.mlp.gate_proj.bias", + "visual.blocks.22.mlp.up_proj.weight", + "visual.blocks.22.mlp.up_proj.bias", + "visual.blocks.22.mlp.down_proj.weight", + "visual.blocks.22.mlp.down_proj.bias", + "visual.blocks.23.norm1.weight", + "visual.blocks.23.norm2.weight", + "visual.blocks.23.attn.qkv.weight", + "visual.blocks.23.attn.qkv.bias", + "visual.blocks.23.attn.proj.weight", + "visual.blocks.23.attn.proj.bias", + "visual.blocks.23.mlp.gate_proj.weight", + "visual.blocks.23.mlp.gate_proj.bias", + "visual.blocks.23.mlp.up_proj.weight", + "visual.blocks.23.mlp.up_proj.bias", + "visual.blocks.23.mlp.down_proj.weight", + "visual.blocks.23.mlp.down_proj.bias", + "visual.blocks.24.norm1.weight", + "visual.blocks.24.norm2.weight", + "visual.blocks.24.attn.qkv.weight", + "visual.blocks.24.attn.qkv.bias", + "visual.blocks.24.attn.proj.weight", + "visual.blocks.24.attn.proj.bias", + "visual.blocks.24.mlp.gate_proj.weight", + "visual.blocks.24.mlp.gate_proj.bias", + "visual.blocks.24.mlp.up_proj.weight", + "visual.blocks.24.mlp.up_proj.bias", + "visual.blocks.24.mlp.down_proj.weight", + "visual.blocks.24.mlp.down_proj.bias", + "visual.blocks.25.norm1.weight", + "visual.blocks.25.norm2.weight", + "visual.blocks.25.attn.qkv.weight", + "visual.blocks.25.attn.qkv.bias", + "visual.blocks.25.attn.proj.weight", + "visual.blocks.25.attn.proj.bias", + "visual.blocks.25.mlp.gate_proj.weight", + "visual.blocks.25.mlp.gate_proj.bias", + "visual.blocks.25.mlp.up_proj.weight", + "visual.blocks.25.mlp.up_proj.bias", + "visual.blocks.25.mlp.down_proj.weight", + "visual.blocks.25.mlp.down_proj.bias", + "visual.blocks.26.norm1.weight", + "visual.blocks.26.norm2.weight", + "visual.blocks.26.attn.qkv.weight", + "visual.blocks.26.attn.qkv.bias", + "visual.blocks.26.attn.proj.weight", + "visual.blocks.26.attn.proj.bias", + "visual.blocks.26.mlp.gate_proj.weight", + "visual.blocks.26.mlp.gate_proj.bias", + "visual.blocks.26.mlp.up_proj.weight", + "visual.blocks.26.mlp.up_proj.bias", + "visual.blocks.26.mlp.down_proj.weight", + "visual.blocks.26.mlp.down_proj.bias", + "visual.blocks.27.norm1.weight", + "visual.blocks.27.norm2.weight", + "visual.blocks.27.attn.qkv.weight", + "visual.blocks.27.attn.qkv.bias", + "visual.blocks.27.attn.proj.weight", + "visual.blocks.27.attn.proj.bias", + "visual.blocks.27.mlp.gate_proj.weight", + "visual.blocks.27.mlp.gate_proj.bias", + "visual.blocks.27.mlp.up_proj.weight", + "visual.blocks.27.mlp.up_proj.bias", + "visual.blocks.27.mlp.down_proj.weight", + "visual.blocks.27.mlp.down_proj.bias", + "visual.blocks.28.norm1.weight", + "visual.blocks.28.norm2.weight", + "visual.blocks.28.attn.qkv.weight", + "visual.blocks.28.attn.qkv.bias", + "visual.blocks.28.attn.proj.weight", + "visual.blocks.28.attn.proj.bias", + "visual.blocks.28.mlp.gate_proj.weight", + "visual.blocks.28.mlp.gate_proj.bias", + "visual.blocks.28.mlp.up_proj.weight", + "visual.blocks.28.mlp.up_proj.bias", + "visual.blocks.28.mlp.down_proj.weight", + "visual.blocks.28.mlp.down_proj.bias", + "visual.blocks.29.norm1.weight", + "visual.blocks.29.norm2.weight", + "visual.blocks.29.attn.qkv.weight", + "visual.blocks.29.attn.qkv.bias", + "visual.blocks.29.attn.proj.weight", + "visual.blocks.29.attn.proj.bias", + "visual.blocks.29.mlp.gate_proj.weight", + "visual.blocks.29.mlp.gate_proj.bias", + "visual.blocks.29.mlp.up_proj.weight", + "visual.blocks.29.mlp.up_proj.bias", + "visual.blocks.29.mlp.down_proj.weight", + "visual.blocks.29.mlp.down_proj.bias", + "visual.blocks.30.norm1.weight", + "visual.blocks.30.norm2.weight", + "visual.blocks.30.attn.qkv.weight", + "visual.blocks.30.attn.qkv.bias", + "visual.blocks.30.attn.proj.weight", + "visual.blocks.30.attn.proj.bias", + "visual.blocks.30.mlp.gate_proj.weight", + "visual.blocks.30.mlp.gate_proj.bias", + "visual.blocks.30.mlp.up_proj.weight", + "visual.blocks.30.mlp.up_proj.bias", + "visual.blocks.30.mlp.down_proj.weight", + "visual.blocks.30.mlp.down_proj.bias", + "visual.blocks.31.norm1.weight", + "visual.blocks.31.norm2.weight", + "visual.blocks.31.attn.qkv.weight", + "visual.blocks.31.attn.qkv.bias", + "visual.blocks.31.attn.proj.weight", + "visual.blocks.31.attn.proj.bias", + "visual.blocks.31.mlp.gate_proj.weight", + "visual.blocks.31.mlp.gate_proj.bias", + "visual.blocks.31.mlp.up_proj.weight", + "visual.blocks.31.mlp.up_proj.bias", + "visual.blocks.31.mlp.down_proj.weight", + "visual.blocks.31.mlp.down_proj.bias", + "visual.merger.ln_q.weight", + "visual.merger.mlp.0.weight", + "visual.merger.mlp.0.bias", + "visual.merger.mlp.2.weight", + "visual.merger.mlp.2.bias", + "model.embed_tokens.weight", + "model.layers.0.self_attn.q_proj.weight", + "model.layers.0.self_attn.q_proj.bias", + "model.layers.0.self_attn.k_proj.weight", + "model.layers.0.self_attn.k_proj.bias", + "model.layers.0.self_attn.v_proj.weight", + "model.layers.0.self_attn.v_proj.bias", + "model.layers.0.self_attn.o_proj.weight", + "model.layers.0.mlp.gate_proj.weight", + "model.layers.0.mlp.up_proj.weight", + "model.layers.0.mlp.down_proj.weight", + "model.layers.0.input_layernorm.weight", + "model.layers.0.post_attention_layernorm.weight", + "model.layers.1.self_attn.q_proj.weight", + "model.layers.1.self_attn.q_proj.bias", + "model.layers.1.self_attn.k_proj.weight", + "model.layers.1.self_attn.k_proj.bias", + "model.layers.1.self_attn.v_proj.weight", + "model.layers.1.self_attn.v_proj.bias", + "model.layers.1.self_attn.o_proj.weight", + "model.layers.1.mlp.gate_proj.weight", + "model.layers.1.mlp.up_proj.weight", + "model.layers.1.mlp.down_proj.weight", + "model.layers.1.input_layernorm.weight", + "model.layers.1.post_attention_layernorm.weight", + "model.layers.2.self_attn.q_proj.weight", + "model.layers.2.self_attn.q_proj.bias", + "model.layers.2.self_attn.k_proj.weight", + "model.layers.2.self_attn.k_proj.bias", + "model.layers.2.self_attn.v_proj.weight", + "model.layers.2.self_attn.v_proj.bias", + "model.layers.2.self_attn.o_proj.weight", + "model.layers.2.mlp.gate_proj.weight", + "model.layers.2.mlp.up_proj.weight", + "model.layers.2.mlp.down_proj.weight", + "model.layers.2.input_layernorm.weight", + "model.layers.2.post_attention_layernorm.weight", + "model.layers.3.self_attn.q_proj.weight", + "model.layers.3.self_attn.q_proj.bias", + "model.layers.3.self_attn.k_proj.weight", + "model.layers.3.self_attn.k_proj.bias", + "model.layers.3.self_attn.v_proj.weight", + "model.layers.3.self_attn.v_proj.bias", + "model.layers.3.self_attn.o_proj.weight", + "model.layers.3.mlp.gate_proj.weight", + "model.layers.3.mlp.up_proj.weight", + "model.layers.3.mlp.down_proj.weight", + "model.layers.3.input_layernorm.weight", + "model.layers.3.post_attention_layernorm.weight", + "model.layers.4.self_attn.q_proj.weight", + "model.layers.4.self_attn.q_proj.bias", + "model.layers.4.self_attn.k_proj.weight", + "model.layers.4.self_attn.k_proj.bias", + "model.layers.4.self_attn.v_proj.weight", + "model.layers.4.self_attn.v_proj.bias", + "model.layers.4.self_attn.o_proj.weight", + "model.layers.4.mlp.gate_proj.weight", + "model.layers.4.mlp.up_proj.weight", + "model.layers.4.mlp.down_proj.weight", + "model.layers.4.input_layernorm.weight", + "model.layers.4.post_attention_layernorm.weight", + "model.layers.5.self_attn.q_proj.weight", + "model.layers.5.self_attn.q_proj.bias", + "model.layers.5.self_attn.k_proj.weight", + "model.layers.5.self_attn.k_proj.bias", + "model.layers.5.self_attn.v_proj.weight", + "model.layers.5.self_attn.v_proj.bias", + "model.layers.5.self_attn.o_proj.weight", + "model.layers.5.mlp.gate_proj.weight", + "model.layers.5.mlp.up_proj.weight", + "model.layers.5.mlp.down_proj.weight", + "model.layers.5.input_layernorm.weight", + "model.layers.5.post_attention_layernorm.weight", + "model.layers.6.self_attn.q_proj.weight", + "model.layers.6.self_attn.q_proj.bias", + "model.layers.6.self_attn.k_proj.weight", + "model.layers.6.self_attn.k_proj.bias", + "model.layers.6.self_attn.v_proj.weight", + "model.layers.6.self_attn.v_proj.bias", + "model.layers.6.self_attn.o_proj.weight", + "model.layers.6.mlp.gate_proj.weight", + "model.layers.6.mlp.up_proj.weight", + "model.layers.6.mlp.down_proj.weight", + "model.layers.6.input_layernorm.weight", + "model.layers.6.post_attention_layernorm.weight", + "model.layers.7.self_attn.q_proj.weight", + "model.layers.7.self_attn.q_proj.bias", + "model.layers.7.self_attn.k_proj.weight", + "model.layers.7.self_attn.k_proj.bias", + "model.layers.7.self_attn.v_proj.weight", + "model.layers.7.self_attn.v_proj.bias", + "model.layers.7.self_attn.o_proj.weight", + "model.layers.7.mlp.gate_proj.weight", + "model.layers.7.mlp.up_proj.weight", + "model.layers.7.mlp.down_proj.weight", + "model.layers.7.input_layernorm.weight", + "model.layers.7.post_attention_layernorm.weight", + "model.layers.8.self_attn.q_proj.weight", + "model.layers.8.self_attn.q_proj.bias", + "model.layers.8.self_attn.k_proj.weight", + "model.layers.8.self_attn.k_proj.bias", + "model.layers.8.self_attn.v_proj.weight", + "model.layers.8.self_attn.v_proj.bias", + "model.layers.8.self_attn.o_proj.weight", + "model.layers.8.mlp.gate_proj.weight", + "model.layers.8.mlp.up_proj.weight", + "model.layers.8.mlp.down_proj.weight", + "model.layers.8.input_layernorm.weight", + "model.layers.8.post_attention_layernorm.weight", + "model.layers.9.self_attn.q_proj.weight", + "model.layers.9.self_attn.q_proj.bias", + "model.layers.9.self_attn.k_proj.weight", + "model.layers.9.self_attn.k_proj.bias", + "model.layers.9.self_attn.v_proj.weight", + "model.layers.9.self_attn.v_proj.bias", + "model.layers.9.self_attn.o_proj.weight", + "model.layers.9.mlp.gate_proj.weight", + "model.layers.9.mlp.up_proj.weight", + "model.layers.9.mlp.down_proj.weight", + "model.layers.9.input_layernorm.weight", + "model.layers.9.post_attention_layernorm.weight", + "model.layers.10.self_attn.q_proj.weight", + "model.layers.10.self_attn.q_proj.bias", + "model.layers.10.self_attn.k_proj.weight", + "model.layers.10.self_attn.k_proj.bias", + "model.layers.10.self_attn.v_proj.weight", + "model.layers.10.self_attn.v_proj.bias", + "model.layers.10.self_attn.o_proj.weight", + "model.layers.10.mlp.gate_proj.weight", + "model.layers.10.mlp.up_proj.weight", + "model.layers.10.mlp.down_proj.weight", + "model.layers.10.input_layernorm.weight", + "model.layers.10.post_attention_layernorm.weight", + "model.layers.11.self_attn.q_proj.weight", + "model.layers.11.self_attn.q_proj.bias", + "model.layers.11.self_attn.k_proj.weight", + "model.layers.11.self_attn.k_proj.bias", + "model.layers.11.self_attn.v_proj.weight", + "model.layers.11.self_attn.v_proj.bias", + "model.layers.11.self_attn.o_proj.weight", + "model.layers.11.mlp.gate_proj.weight", + "model.layers.11.mlp.up_proj.weight", + "model.layers.11.mlp.down_proj.weight", + "model.layers.11.input_layernorm.weight", + "model.layers.11.post_attention_layernorm.weight", + "model.layers.12.self_attn.q_proj.weight", + "model.layers.12.self_attn.q_proj.bias", + "model.layers.12.self_attn.k_proj.weight", + "model.layers.12.self_attn.k_proj.bias", + "model.layers.12.self_attn.v_proj.weight", + "model.layers.12.self_attn.v_proj.bias", + "model.layers.12.self_attn.o_proj.weight", + "model.layers.12.mlp.gate_proj.weight", + "model.layers.12.mlp.up_proj.weight", + "model.layers.12.mlp.down_proj.weight", + "model.layers.12.input_layernorm.weight", + "model.layers.12.post_attention_layernorm.weight", + "model.layers.13.self_attn.q_proj.weight", + "model.layers.13.self_attn.q_proj.bias", + "model.layers.13.self_attn.k_proj.weight", + "model.layers.13.self_attn.k_proj.bias", + "model.layers.13.self_attn.v_proj.weight", + "model.layers.13.self_attn.v_proj.bias", + "model.layers.13.self_attn.o_proj.weight", + "model.layers.13.mlp.gate_proj.weight", + "model.layers.13.mlp.up_proj.weight", + "model.layers.13.mlp.down_proj.weight", + "model.layers.13.input_layernorm.weight", + "model.layers.13.post_attention_layernorm.weight", + "model.layers.14.self_attn.q_proj.weight", + "model.layers.14.self_attn.q_proj.bias", + "model.layers.14.self_attn.k_proj.weight", + "model.layers.14.self_attn.k_proj.bias", + "model.layers.14.self_attn.v_proj.weight", + "model.layers.14.self_attn.v_proj.bias", + "model.layers.14.self_attn.o_proj.weight", + "model.layers.14.mlp.gate_proj.weight", + "model.layers.14.mlp.up_proj.weight", + "model.layers.14.mlp.down_proj.weight", + "model.layers.14.input_layernorm.weight", + "model.layers.14.post_attention_layernorm.weight", + "model.layers.15.self_attn.q_proj.weight", + "model.layers.15.self_attn.q_proj.bias", + "model.layers.15.self_attn.k_proj.weight", + "model.layers.15.self_attn.k_proj.bias", + "model.layers.15.self_attn.v_proj.weight", + "model.layers.15.self_attn.v_proj.bias", + "model.layers.15.self_attn.o_proj.weight", + "model.layers.15.mlp.gate_proj.weight", + "model.layers.15.mlp.up_proj.weight", + "model.layers.15.mlp.down_proj.weight", + "model.layers.15.input_layernorm.weight", + "model.layers.15.post_attention_layernorm.weight", + "model.layers.16.self_attn.q_proj.weight", + "model.layers.16.self_attn.q_proj.bias", + "model.layers.16.self_attn.k_proj.weight", + "model.layers.16.self_attn.k_proj.bias", + "model.layers.16.self_attn.v_proj.weight", + "model.layers.16.self_attn.v_proj.bias", + "model.layers.16.self_attn.o_proj.weight", + "model.layers.16.mlp.gate_proj.weight", + "model.layers.16.mlp.up_proj.weight", + "model.layers.16.mlp.down_proj.weight", + "model.layers.16.input_layernorm.weight", + "model.layers.16.post_attention_layernorm.weight", + "model.layers.17.self_attn.q_proj.weight", + "model.layers.17.self_attn.q_proj.bias", + "model.layers.17.self_attn.k_proj.weight", + "model.layers.17.self_attn.k_proj.bias", + "model.layers.17.self_attn.v_proj.weight", + "model.layers.17.self_attn.v_proj.bias", + "model.layers.17.self_attn.o_proj.weight", + "model.layers.17.mlp.gate_proj.weight", + "model.layers.17.mlp.up_proj.weight", + "model.layers.17.mlp.down_proj.weight", + "model.layers.17.input_layernorm.weight", + "model.layers.17.post_attention_layernorm.weight", + "model.layers.18.self_attn.q_proj.weight", + "model.layers.18.self_attn.q_proj.bias", + "model.layers.18.self_attn.k_proj.weight", + "model.layers.18.self_attn.k_proj.bias", + "model.layers.18.self_attn.v_proj.weight", + "model.layers.18.self_attn.v_proj.bias", + "model.layers.18.self_attn.o_proj.weight", + "model.layers.18.mlp.gate_proj.weight", + "model.layers.18.mlp.up_proj.weight", + "model.layers.18.mlp.down_proj.weight", + "model.layers.18.input_layernorm.weight", + "model.layers.18.post_attention_layernorm.weight", + "model.layers.19.self_attn.q_proj.weight", + "model.layers.19.self_attn.q_proj.bias", + "model.layers.19.self_attn.k_proj.weight", + "model.layers.19.self_attn.k_proj.bias", + "model.layers.19.self_attn.v_proj.weight", + "model.layers.19.self_attn.v_proj.bias", + "model.layers.19.self_attn.o_proj.weight", + "model.layers.19.mlp.gate_proj.weight", + "model.layers.19.mlp.up_proj.weight", + "model.layers.19.mlp.down_proj.weight", + "model.layers.19.input_layernorm.weight", + "model.layers.19.post_attention_layernorm.weight", + "model.layers.20.self_attn.q_proj.weight", + "model.layers.20.self_attn.q_proj.bias", + "model.layers.20.self_attn.k_proj.weight", + "model.layers.20.self_attn.k_proj.bias", + "model.layers.20.self_attn.v_proj.weight", + "model.layers.20.self_attn.v_proj.bias", + "model.layers.20.self_attn.o_proj.weight", + "model.layers.20.mlp.gate_proj.weight", + "model.layers.20.mlp.up_proj.weight", + "model.layers.20.mlp.down_proj.weight", + "model.layers.20.input_layernorm.weight", + "model.layers.20.post_attention_layernorm.weight", + "model.layers.21.self_attn.q_proj.weight", + "model.layers.21.self_attn.q_proj.bias", + "model.layers.21.self_attn.k_proj.weight", + "model.layers.21.self_attn.k_proj.bias", + "model.layers.21.self_attn.v_proj.weight", + "model.layers.21.self_attn.v_proj.bias", + "model.layers.21.self_attn.o_proj.weight", + "model.layers.21.mlp.gate_proj.weight", + "model.layers.21.mlp.up_proj.weight", + "model.layers.21.mlp.down_proj.weight", + "model.layers.21.input_layernorm.weight", + "model.layers.21.post_attention_layernorm.weight", + "model.layers.22.self_attn.q_proj.weight", + "model.layers.22.self_attn.q_proj.bias", + "model.layers.22.self_attn.k_proj.weight", + "model.layers.22.self_attn.k_proj.bias", + "model.layers.22.self_attn.v_proj.weight", + "model.layers.22.self_attn.v_proj.bias", + "model.layers.22.self_attn.o_proj.weight", + "model.layers.22.mlp.gate_proj.weight", + "model.layers.22.mlp.up_proj.weight", + "model.layers.22.mlp.down_proj.weight", + "model.layers.22.input_layernorm.weight", + "model.layers.22.post_attention_layernorm.weight", + "model.layers.23.self_attn.q_proj.weight", + "model.layers.23.self_attn.q_proj.bias", + "model.layers.23.self_attn.k_proj.weight", + "model.layers.23.self_attn.k_proj.bias", + "model.layers.23.self_attn.v_proj.weight", + "model.layers.23.self_attn.v_proj.bias", + "model.layers.23.self_attn.o_proj.weight", + "model.layers.23.mlp.gate_proj.weight", + "model.layers.23.mlp.up_proj.weight", + "model.layers.23.mlp.down_proj.weight", + "model.layers.23.input_layernorm.weight", + "model.layers.23.post_attention_layernorm.weight", + "model.layers.24.self_attn.q_proj.weight", + "model.layers.24.self_attn.q_proj.bias", + "model.layers.24.self_attn.k_proj.weight", + "model.layers.24.self_attn.k_proj.bias", + "model.layers.24.self_attn.v_proj.weight", + "model.layers.24.self_attn.v_proj.bias", + "model.layers.24.self_attn.o_proj.weight", + "model.layers.24.mlp.gate_proj.weight", + "model.layers.24.mlp.up_proj.weight", + "model.layers.24.mlp.down_proj.weight", + "model.layers.24.input_layernorm.weight", + "model.layers.24.post_attention_layernorm.weight", + "model.layers.25.self_attn.q_proj.weight", + "model.layers.25.self_attn.q_proj.bias", + "model.layers.25.self_attn.k_proj.weight", + "model.layers.25.self_attn.k_proj.bias", + "model.layers.25.self_attn.v_proj.weight", + "model.layers.25.self_attn.v_proj.bias", + "model.layers.25.self_attn.o_proj.weight", + "model.layers.25.mlp.gate_proj.weight", + "model.layers.25.mlp.up_proj.weight", + "model.layers.25.mlp.down_proj.weight", + "model.layers.25.input_layernorm.weight", + "model.layers.25.post_attention_layernorm.weight", + "model.layers.26.self_attn.q_proj.weight", + "model.layers.26.self_attn.q_proj.bias", + "model.layers.26.self_attn.k_proj.weight", + "model.layers.26.self_attn.k_proj.bias", + "model.layers.26.self_attn.v_proj.weight", + "model.layers.26.self_attn.v_proj.bias", + "model.layers.26.self_attn.o_proj.weight", + "model.layers.26.mlp.gate_proj.weight", + "model.layers.26.mlp.up_proj.weight", + "model.layers.26.mlp.down_proj.weight", + "model.layers.26.input_layernorm.weight", + "model.layers.26.post_attention_layernorm.weight", + "model.layers.27.self_attn.q_proj.weight", + "model.layers.27.self_attn.q_proj.bias", + "model.layers.27.self_attn.k_proj.weight", + "model.layers.27.self_attn.k_proj.bias", + "model.layers.27.self_attn.v_proj.weight", + "model.layers.27.self_attn.v_proj.bias", + "model.layers.27.self_attn.o_proj.weight", + "model.layers.27.mlp.gate_proj.weight", + "model.layers.27.mlp.up_proj.weight", + "model.layers.27.mlp.down_proj.weight", + "model.layers.27.input_layernorm.weight", + "model.layers.27.post_attention_layernorm.weight", + "model.layers.28.self_attn.q_proj.weight", + "model.layers.28.self_attn.q_proj.bias", + "model.layers.28.self_attn.k_proj.weight", + "model.layers.28.self_attn.k_proj.bias", + "model.layers.28.self_attn.v_proj.weight", + "model.layers.28.self_attn.v_proj.bias", + "model.layers.28.self_attn.o_proj.weight", + "model.layers.28.mlp.gate_proj.weight", + "model.layers.28.mlp.up_proj.weight", + "model.layers.28.mlp.down_proj.weight", + "model.layers.28.input_layernorm.weight", + "model.layers.28.post_attention_layernorm.weight", + "model.layers.29.self_attn.q_proj.weight", + "model.layers.29.self_attn.q_proj.bias", + "model.layers.29.self_attn.k_proj.weight", + "model.layers.29.self_attn.k_proj.bias", + "model.layers.29.self_attn.v_proj.weight", + "model.layers.29.self_attn.v_proj.bias", + "model.layers.29.self_attn.o_proj.weight", + "model.layers.29.mlp.gate_proj.weight", + "model.layers.29.mlp.up_proj.weight", + "model.layers.29.mlp.down_proj.weight", + "model.layers.29.input_layernorm.weight", + "model.layers.29.post_attention_layernorm.weight", + "model.layers.30.self_attn.q_proj.weight", + "model.layers.30.self_attn.q_proj.bias", + "model.layers.30.self_attn.k_proj.weight", + "model.layers.30.self_attn.k_proj.bias", + "model.layers.30.self_attn.v_proj.weight", + "model.layers.30.self_attn.v_proj.bias", + "model.layers.30.self_attn.o_proj.weight", + "model.layers.30.mlp.gate_proj.weight", + "model.layers.30.mlp.up_proj.weight", + "model.layers.30.mlp.down_proj.weight", + "model.layers.30.input_layernorm.weight", + "model.layers.30.post_attention_layernorm.weight", + "model.layers.31.self_attn.q_proj.weight", + "model.layers.31.self_attn.q_proj.bias", + "model.layers.31.self_attn.k_proj.weight", + "model.layers.31.self_attn.k_proj.bias", + "model.layers.31.self_attn.v_proj.weight", + "model.layers.31.self_attn.v_proj.bias", + "model.layers.31.self_attn.o_proj.weight", + "model.layers.31.mlp.gate_proj.weight", + "model.layers.31.mlp.up_proj.weight", + "model.layers.31.mlp.down_proj.weight", + "model.layers.31.input_layernorm.weight", + "model.layers.31.post_attention_layernorm.weight", + "model.layers.32.self_attn.q_proj.weight", + "model.layers.32.self_attn.q_proj.bias", + "model.layers.32.self_attn.k_proj.weight", + "model.layers.32.self_attn.k_proj.bias", + "model.layers.32.self_attn.v_proj.weight", + "model.layers.32.self_attn.v_proj.bias", + "model.layers.32.self_attn.o_proj.weight", + "model.layers.32.mlp.gate_proj.weight", + "model.layers.32.mlp.up_proj.weight", + "model.layers.32.mlp.down_proj.weight", + "model.layers.32.input_layernorm.weight", + "model.layers.32.post_attention_layernorm.weight", + "model.layers.33.self_attn.q_proj.weight", + "model.layers.33.self_attn.q_proj.bias", + "model.layers.33.self_attn.k_proj.weight", + "model.layers.33.self_attn.k_proj.bias", + "model.layers.33.self_attn.v_proj.weight", + "model.layers.33.self_attn.v_proj.bias", + "model.layers.33.self_attn.o_proj.weight", + "model.layers.33.mlp.gate_proj.weight", + "model.layers.33.mlp.up_proj.weight", + "model.layers.33.mlp.down_proj.weight", + "model.layers.33.input_layernorm.weight", + "model.layers.33.post_attention_layernorm.weight", + "model.layers.34.self_attn.q_proj.weight", + "model.layers.34.self_attn.q_proj.bias", + "model.layers.34.self_attn.k_proj.weight", + "model.layers.34.self_attn.k_proj.bias", + "model.layers.34.self_attn.v_proj.weight", + "model.layers.34.self_attn.v_proj.bias", + "model.layers.34.self_attn.o_proj.weight", + "model.layers.34.mlp.gate_proj.weight", + "model.layers.34.mlp.up_proj.weight", + "model.layers.34.mlp.down_proj.weight", + "model.layers.34.input_layernorm.weight", + "model.layers.34.post_attention_layernorm.weight", + "model.layers.35.self_attn.q_proj.weight", + "model.layers.35.self_attn.q_proj.bias", + "model.layers.35.self_attn.k_proj.weight", + "model.layers.35.self_attn.k_proj.bias", + "model.layers.35.self_attn.v_proj.weight", + "model.layers.35.self_attn.v_proj.bias", + "model.layers.35.self_attn.o_proj.weight", + "model.layers.35.mlp.gate_proj.weight", + "model.layers.35.mlp.up_proj.weight", + "model.layers.35.mlp.down_proj.weight", + "model.layers.35.input_layernorm.weight", + "model.layers.35.post_attention_layernorm.weight", + "model.norm.weight", + "lm_head.weight" + ] +} \ No newline at end of file diff --git a/11video_r1_vllm_model_keys.json b/11video_r1_vllm_model_keys.json new file mode 100644 index 0000000000000000000000000000000000000000..ed2154d8d5d86cb0f1403584844d8b898af58a8b --- /dev/null +++ b/11video_r1_vllm_model_keys.json @@ -0,0 +1,661 @@ +{ + "total": 644, + "first_10": [ + "visual.patch_embed.proj.weight", + "visual.blocks.0.norm1.weight", + "visual.blocks.0.norm2.weight", + "visual.blocks.0.attn.qkv.weight", + "visual.blocks.0.attn.qkv.bias", + "visual.blocks.0.attn.proj.weight", + "visual.blocks.0.attn.proj.bias", + "visual.blocks.0.mlp.gate_proj.weight", + "visual.blocks.0.mlp.gate_proj.bias", + "visual.blocks.0.mlp.up_proj.weight" + ], + "all_keys": [ + "visual.patch_embed.proj.weight", + "visual.blocks.0.norm1.weight", + "visual.blocks.0.norm2.weight", + "visual.blocks.0.attn.qkv.weight", + "visual.blocks.0.attn.qkv.bias", + "visual.blocks.0.attn.proj.weight", + "visual.blocks.0.attn.proj.bias", + "visual.blocks.0.mlp.gate_proj.weight", + "visual.blocks.0.mlp.gate_proj.bias", + "visual.blocks.0.mlp.up_proj.weight", + "visual.blocks.0.mlp.up_proj.bias", + "visual.blocks.0.mlp.down_proj.weight", + "visual.blocks.0.mlp.down_proj.bias", + "visual.blocks.1.norm1.weight", + "visual.blocks.1.norm2.weight", + "visual.blocks.1.attn.qkv.weight", + "visual.blocks.1.attn.qkv.bias", + "visual.blocks.1.attn.proj.weight", + "visual.blocks.1.attn.proj.bias", + "visual.blocks.1.mlp.gate_proj.weight", + "visual.blocks.1.mlp.gate_proj.bias", + "visual.blocks.1.mlp.up_proj.weight", + "visual.blocks.1.mlp.up_proj.bias", + "visual.blocks.1.mlp.down_proj.weight", + "visual.blocks.1.mlp.down_proj.bias", + "visual.blocks.2.norm1.weight", + "visual.blocks.2.norm2.weight", + "visual.blocks.2.attn.qkv.weight", + "visual.blocks.2.attn.qkv.bias", + "visual.blocks.2.attn.proj.weight", + "visual.blocks.2.attn.proj.bias", + "visual.blocks.2.mlp.gate_proj.weight", + "visual.blocks.2.mlp.gate_proj.bias", + "visual.blocks.2.mlp.up_proj.weight", + "visual.blocks.2.mlp.up_proj.bias", + "visual.blocks.2.mlp.down_proj.weight", + "visual.blocks.2.mlp.down_proj.bias", + "visual.blocks.3.norm1.weight", + "visual.blocks.3.norm2.weight", + "visual.blocks.3.attn.qkv.weight", + "visual.blocks.3.attn.qkv.bias", + "visual.blocks.3.attn.proj.weight", + "visual.blocks.3.attn.proj.bias", + "visual.blocks.3.mlp.gate_proj.weight", + "visual.blocks.3.mlp.gate_proj.bias", + "visual.blocks.3.mlp.up_proj.weight", + "visual.blocks.3.mlp.up_proj.bias", + "visual.blocks.3.mlp.down_proj.weight", + "visual.blocks.3.mlp.down_proj.bias", + "visual.blocks.4.norm1.weight", + "visual.blocks.4.norm2.weight", + "visual.blocks.4.attn.qkv.weight", + "visual.blocks.4.attn.qkv.bias", + "visual.blocks.4.attn.proj.weight", + "visual.blocks.4.attn.proj.bias", + "visual.blocks.4.mlp.gate_proj.weight", + "visual.blocks.4.mlp.gate_proj.bias", + "visual.blocks.4.mlp.up_proj.weight", + "visual.blocks.4.mlp.up_proj.bias", + "visual.blocks.4.mlp.down_proj.weight", + "visual.blocks.4.mlp.down_proj.bias", + "visual.blocks.5.norm1.weight", + "visual.blocks.5.norm2.weight", + "visual.blocks.5.attn.qkv.weight", + "visual.blocks.5.attn.qkv.bias", + "visual.blocks.5.attn.proj.weight", + "visual.blocks.5.attn.proj.bias", + "visual.blocks.5.mlp.gate_proj.weight", + "visual.blocks.5.mlp.gate_proj.bias", + "visual.blocks.5.mlp.up_proj.weight", + "visual.blocks.5.mlp.up_proj.bias", + "visual.blocks.5.mlp.down_proj.weight", + "visual.blocks.5.mlp.down_proj.bias", + "visual.blocks.6.norm1.weight", + "visual.blocks.6.norm2.weight", + "visual.blocks.6.attn.qkv.weight", + "visual.blocks.6.attn.qkv.bias", + "visual.blocks.6.attn.proj.weight", + "visual.blocks.6.attn.proj.bias", + "visual.blocks.6.mlp.gate_proj.weight", + "visual.blocks.6.mlp.gate_proj.bias", + "visual.blocks.6.mlp.up_proj.weight", + "visual.blocks.6.mlp.up_proj.bias", + "visual.blocks.6.mlp.down_proj.weight", + "visual.blocks.6.mlp.down_proj.bias", + "visual.blocks.7.norm1.weight", + "visual.blocks.7.norm2.weight", + "visual.blocks.7.attn.qkv.weight", + "visual.blocks.7.attn.qkv.bias", + "visual.blocks.7.attn.proj.weight", + "visual.blocks.7.attn.proj.bias", + "visual.blocks.7.mlp.gate_proj.weight", + "visual.blocks.7.mlp.gate_proj.bias", + "visual.blocks.7.mlp.up_proj.weight", + "visual.blocks.7.mlp.up_proj.bias", + "visual.blocks.7.mlp.down_proj.weight", + "visual.blocks.7.mlp.down_proj.bias", + "visual.blocks.8.norm1.weight", + "visual.blocks.8.norm2.weight", + "visual.blocks.8.attn.qkv.weight", + "visual.blocks.8.attn.qkv.bias", + "visual.blocks.8.attn.proj.weight", + "visual.blocks.8.attn.proj.bias", + "visual.blocks.8.mlp.gate_proj.weight", + "visual.blocks.8.mlp.gate_proj.bias", + "visual.blocks.8.mlp.up_proj.weight", + "visual.blocks.8.mlp.up_proj.bias", + "visual.blocks.8.mlp.down_proj.weight", + "visual.blocks.8.mlp.down_proj.bias", + "visual.blocks.9.norm1.weight", + "visual.blocks.9.norm2.weight", + "visual.blocks.9.attn.qkv.weight", + "visual.blocks.9.attn.qkv.bias", + "visual.blocks.9.attn.proj.weight", + "visual.blocks.9.attn.proj.bias", + "visual.blocks.9.mlp.gate_proj.weight", + "visual.blocks.9.mlp.gate_proj.bias", + "visual.blocks.9.mlp.up_proj.weight", + "visual.blocks.9.mlp.up_proj.bias", + "visual.blocks.9.mlp.down_proj.weight", + "visual.blocks.9.mlp.down_proj.bias", + "visual.blocks.10.norm1.weight", + "visual.blocks.10.norm2.weight", + "visual.blocks.10.attn.qkv.weight", + "visual.blocks.10.attn.qkv.bias", + "visual.blocks.10.attn.proj.weight", + "visual.blocks.10.attn.proj.bias", + "visual.blocks.10.mlp.gate_proj.weight", + "visual.blocks.10.mlp.gate_proj.bias", + "visual.blocks.10.mlp.up_proj.weight", + "visual.blocks.10.mlp.up_proj.bias", + "visual.blocks.10.mlp.down_proj.weight", + "visual.blocks.10.mlp.down_proj.bias", + "visual.blocks.11.norm1.weight", + "visual.blocks.11.norm2.weight", + "visual.blocks.11.attn.qkv.weight", + "visual.blocks.11.attn.qkv.bias", + "visual.blocks.11.attn.proj.weight", + "visual.blocks.11.attn.proj.bias", + "visual.blocks.11.mlp.gate_proj.weight", + "visual.blocks.11.mlp.gate_proj.bias", + "visual.blocks.11.mlp.up_proj.weight", + "visual.blocks.11.mlp.up_proj.bias", + "visual.blocks.11.mlp.down_proj.weight", + "visual.blocks.11.mlp.down_proj.bias", + "visual.blocks.12.norm1.weight", + "visual.blocks.12.norm2.weight", + "visual.blocks.12.attn.qkv.weight", + "visual.blocks.12.attn.qkv.bias", + "visual.blocks.12.attn.proj.weight", + "visual.blocks.12.attn.proj.bias", + "visual.blocks.12.mlp.gate_proj.weight", + "visual.blocks.12.mlp.gate_proj.bias", + "visual.blocks.12.mlp.up_proj.weight", + "visual.blocks.12.mlp.up_proj.bias", + "visual.blocks.12.mlp.down_proj.weight", + "visual.blocks.12.mlp.down_proj.bias", + "visual.blocks.13.norm1.weight", + "visual.blocks.13.norm2.weight", + "visual.blocks.13.attn.qkv.weight", + "visual.blocks.13.attn.qkv.bias", + "visual.blocks.13.attn.proj.weight", + "visual.blocks.13.attn.proj.bias", + "visual.blocks.13.mlp.gate_proj.weight", + "visual.blocks.13.mlp.gate_proj.bias", + "visual.blocks.13.mlp.up_proj.weight", + "visual.blocks.13.mlp.up_proj.bias", + "visual.blocks.13.mlp.down_proj.weight", + "visual.blocks.13.mlp.down_proj.bias", + "visual.blocks.14.norm1.weight", + "visual.blocks.14.norm2.weight", + "visual.blocks.14.attn.qkv.weight", + "visual.blocks.14.attn.qkv.bias", + "visual.blocks.14.attn.proj.weight", + "visual.blocks.14.attn.proj.bias", + "visual.blocks.14.mlp.gate_proj.weight", + "visual.blocks.14.mlp.gate_proj.bias", + "visual.blocks.14.mlp.up_proj.weight", + "visual.blocks.14.mlp.up_proj.bias", + "visual.blocks.14.mlp.down_proj.weight", + "visual.blocks.14.mlp.down_proj.bias", + "visual.blocks.15.norm1.weight", + "visual.blocks.15.norm2.weight", + "visual.blocks.15.attn.qkv.weight", + "visual.blocks.15.attn.qkv.bias", + "visual.blocks.15.attn.proj.weight", + "visual.blocks.15.attn.proj.bias", + "visual.blocks.15.mlp.gate_proj.weight", + "visual.blocks.15.mlp.gate_proj.bias", + "visual.blocks.15.mlp.up_proj.weight", + "visual.blocks.15.mlp.up_proj.bias", + "visual.blocks.15.mlp.down_proj.weight", + "visual.blocks.15.mlp.down_proj.bias", + "visual.blocks.16.norm1.weight", + "visual.blocks.16.norm2.weight", + "visual.blocks.16.attn.qkv.weight", + "visual.blocks.16.attn.qkv.bias", + "visual.blocks.16.attn.proj.weight", + "visual.blocks.16.attn.proj.bias", + "visual.blocks.16.mlp.gate_proj.weight", + "visual.blocks.16.mlp.gate_proj.bias", + "visual.blocks.16.mlp.up_proj.weight", + "visual.blocks.16.mlp.up_proj.bias", + "visual.blocks.16.mlp.down_proj.weight", + "visual.blocks.16.mlp.down_proj.bias", + "visual.blocks.17.norm1.weight", + "visual.blocks.17.norm2.weight", + "visual.blocks.17.attn.qkv.weight", + "visual.blocks.17.attn.qkv.bias", + "visual.blocks.17.attn.proj.weight", + "visual.blocks.17.attn.proj.bias", + "visual.blocks.17.mlp.gate_proj.weight", + "visual.blocks.17.mlp.gate_proj.bias", + "visual.blocks.17.mlp.up_proj.weight", + "visual.blocks.17.mlp.up_proj.bias", + "visual.blocks.17.mlp.down_proj.weight", + "visual.blocks.17.mlp.down_proj.bias", + "visual.blocks.18.norm1.weight", + "visual.blocks.18.norm2.weight", + "visual.blocks.18.attn.qkv.weight", + "visual.blocks.18.attn.qkv.bias", + "visual.blocks.18.attn.proj.weight", + "visual.blocks.18.attn.proj.bias", + "visual.blocks.18.mlp.gate_proj.weight", + "visual.blocks.18.mlp.gate_proj.bias", + "visual.blocks.18.mlp.up_proj.weight", + "visual.blocks.18.mlp.up_proj.bias", + "visual.blocks.18.mlp.down_proj.weight", + "visual.blocks.18.mlp.down_proj.bias", + "visual.blocks.19.norm1.weight", + "visual.blocks.19.norm2.weight", + "visual.blocks.19.attn.qkv.weight", + "visual.blocks.19.attn.qkv.bias", + "visual.blocks.19.attn.proj.weight", + "visual.blocks.19.attn.proj.bias", + "visual.blocks.19.mlp.gate_proj.weight", + "visual.blocks.19.mlp.gate_proj.bias", + "visual.blocks.19.mlp.up_proj.weight", + "visual.blocks.19.mlp.up_proj.bias", + "visual.blocks.19.mlp.down_proj.weight", + "visual.blocks.19.mlp.down_proj.bias", + "visual.blocks.20.norm1.weight", + "visual.blocks.20.norm2.weight", + "visual.blocks.20.attn.qkv.weight", + "visual.blocks.20.attn.qkv.bias", + "visual.blocks.20.attn.proj.weight", + "visual.blocks.20.attn.proj.bias", + "visual.blocks.20.mlp.gate_proj.weight", + "visual.blocks.20.mlp.gate_proj.bias", + "visual.blocks.20.mlp.up_proj.weight", + "visual.blocks.20.mlp.up_proj.bias", + "visual.blocks.20.mlp.down_proj.weight", + "visual.blocks.20.mlp.down_proj.bias", + "visual.blocks.21.norm1.weight", + "visual.blocks.21.norm2.weight", + "visual.blocks.21.attn.qkv.weight", + "visual.blocks.21.attn.qkv.bias", + "visual.blocks.21.attn.proj.weight", + "visual.blocks.21.attn.proj.bias", + "visual.blocks.21.mlp.gate_proj.weight", + "visual.blocks.21.mlp.gate_proj.bias", + "visual.blocks.21.mlp.up_proj.weight", + "visual.blocks.21.mlp.up_proj.bias", + "visual.blocks.21.mlp.down_proj.weight", + "visual.blocks.21.mlp.down_proj.bias", + "visual.blocks.22.norm1.weight", + "visual.blocks.22.norm2.weight", + "visual.blocks.22.attn.qkv.weight", + "visual.blocks.22.attn.qkv.bias", + "visual.blocks.22.attn.proj.weight", + "visual.blocks.22.attn.proj.bias", + "visual.blocks.22.mlp.gate_proj.weight", + "visual.blocks.22.mlp.gate_proj.bias", + "visual.blocks.22.mlp.up_proj.weight", + "visual.blocks.22.mlp.up_proj.bias", + "visual.blocks.22.mlp.down_proj.weight", + "visual.blocks.22.mlp.down_proj.bias", + "visual.blocks.23.norm1.weight", + "visual.blocks.23.norm2.weight", + "visual.blocks.23.attn.qkv.weight", + "visual.blocks.23.attn.qkv.bias", + "visual.blocks.23.attn.proj.weight", + "visual.blocks.23.attn.proj.bias", + "visual.blocks.23.mlp.gate_proj.weight", + "visual.blocks.23.mlp.gate_proj.bias", + "visual.blocks.23.mlp.up_proj.weight", + "visual.blocks.23.mlp.up_proj.bias", + "visual.blocks.23.mlp.down_proj.weight", + "visual.blocks.23.mlp.down_proj.bias", + "visual.blocks.24.norm1.weight", + "visual.blocks.24.norm2.weight", + "visual.blocks.24.attn.qkv.weight", + "visual.blocks.24.attn.qkv.bias", + "visual.blocks.24.attn.proj.weight", + "visual.blocks.24.attn.proj.bias", + "visual.blocks.24.mlp.gate_proj.weight", + "visual.blocks.24.mlp.gate_proj.bias", + "visual.blocks.24.mlp.up_proj.weight", + "visual.blocks.24.mlp.up_proj.bias", + "visual.blocks.24.mlp.down_proj.weight", + "visual.blocks.24.mlp.down_proj.bias", + "visual.blocks.25.norm1.weight", + "visual.blocks.25.norm2.weight", + "visual.blocks.25.attn.qkv.weight", + "visual.blocks.25.attn.qkv.bias", + "visual.blocks.25.attn.proj.weight", + "visual.blocks.25.attn.proj.bias", + "visual.blocks.25.mlp.gate_proj.weight", + "visual.blocks.25.mlp.gate_proj.bias", + "visual.blocks.25.mlp.up_proj.weight", + "visual.blocks.25.mlp.up_proj.bias", + "visual.blocks.25.mlp.down_proj.weight", + "visual.blocks.25.mlp.down_proj.bias", + "visual.blocks.26.norm1.weight", + "visual.blocks.26.norm2.weight", + "visual.blocks.26.attn.qkv.weight", + "visual.blocks.26.attn.qkv.bias", + "visual.blocks.26.attn.proj.weight", + "visual.blocks.26.attn.proj.bias", + "visual.blocks.26.mlp.gate_proj.weight", + "visual.blocks.26.mlp.gate_proj.bias", + "visual.blocks.26.mlp.up_proj.weight", + "visual.blocks.26.mlp.up_proj.bias", + "visual.blocks.26.mlp.down_proj.weight", + "visual.blocks.26.mlp.down_proj.bias", + "visual.blocks.27.norm1.weight", + "visual.blocks.27.norm2.weight", + "visual.blocks.27.attn.qkv.weight", + "visual.blocks.27.attn.qkv.bias", + "visual.blocks.27.attn.proj.weight", + "visual.blocks.27.attn.proj.bias", + "visual.blocks.27.mlp.gate_proj.weight", + "visual.blocks.27.mlp.gate_proj.bias", + "visual.blocks.27.mlp.up_proj.weight", + "visual.blocks.27.mlp.up_proj.bias", + "visual.blocks.27.mlp.down_proj.weight", + "visual.blocks.27.mlp.down_proj.bias", + "visual.blocks.28.norm1.weight", + "visual.blocks.28.norm2.weight", + "visual.blocks.28.attn.qkv.weight", + "visual.blocks.28.attn.qkv.bias", + "visual.blocks.28.attn.proj.weight", + "visual.blocks.28.attn.proj.bias", + "visual.blocks.28.mlp.gate_proj.weight", + "visual.blocks.28.mlp.gate_proj.bias", + "visual.blocks.28.mlp.up_proj.weight", + "visual.blocks.28.mlp.up_proj.bias", + "visual.blocks.28.mlp.down_proj.weight", + "visual.blocks.28.mlp.down_proj.bias", + "visual.blocks.29.norm1.weight", + "visual.blocks.29.norm2.weight", + "visual.blocks.29.attn.qkv.weight", + "visual.blocks.29.attn.qkv.bias", + "visual.blocks.29.attn.proj.weight", + "visual.blocks.29.attn.proj.bias", + "visual.blocks.29.mlp.gate_proj.weight", + "visual.blocks.29.mlp.gate_proj.bias", + "visual.blocks.29.mlp.up_proj.weight", + "visual.blocks.29.mlp.up_proj.bias", + "visual.blocks.29.mlp.down_proj.weight", + "visual.blocks.29.mlp.down_proj.bias", + "visual.blocks.30.norm1.weight", + "visual.blocks.30.norm2.weight", + "visual.blocks.30.attn.qkv.weight", + "visual.blocks.30.attn.qkv.bias", + "visual.blocks.30.attn.proj.weight", + "visual.blocks.30.attn.proj.bias", + "visual.blocks.30.mlp.gate_proj.weight", + "visual.blocks.30.mlp.gate_proj.bias", + "visual.blocks.30.mlp.up_proj.weight", + "visual.blocks.30.mlp.up_proj.bias", + "visual.blocks.30.mlp.down_proj.weight", + "visual.blocks.30.mlp.down_proj.bias", + "visual.blocks.31.norm1.weight", + "visual.blocks.31.norm2.weight", + "visual.blocks.31.attn.qkv.weight", + "visual.blocks.31.attn.qkv.bias", + "visual.blocks.31.attn.proj.weight", + "visual.blocks.31.attn.proj.bias", + "visual.blocks.31.mlp.gate_proj.weight", + "visual.blocks.31.mlp.gate_proj.bias", + "visual.blocks.31.mlp.up_proj.weight", + "visual.blocks.31.mlp.up_proj.bias", + "visual.blocks.31.mlp.down_proj.weight", + "visual.blocks.31.mlp.down_proj.bias", + "visual.merger.ln_q.weight", + "visual.merger.mlp.0.weight", + "visual.merger.mlp.0.bias", + "visual.merger.mlp.2.weight", + "visual.merger.mlp.2.bias", + "language_model.model.embed_tokens.weight", + "language_model.model.layers.0.self_attn.qkv_proj.weight", + "language_model.model.layers.0.self_attn.qkv_proj.bias", + "language_model.model.layers.0.self_attn.o_proj.weight", + "language_model.model.layers.0.mlp.gate_up_proj.weight", + "language_model.model.layers.0.mlp.down_proj.weight", + "language_model.model.layers.0.input_layernorm.weight", + "language_model.model.layers.0.post_attention_layernorm.weight", + "language_model.model.layers.1.self_attn.qkv_proj.weight", + "language_model.model.layers.1.self_attn.qkv_proj.bias", + "language_model.model.layers.1.self_attn.o_proj.weight", + "language_model.model.layers.1.mlp.gate_up_proj.weight", + "language_model.model.layers.1.mlp.down_proj.weight", + "language_model.model.layers.1.input_layernorm.weight", + "language_model.model.layers.1.post_attention_layernorm.weight", + "language_model.model.layers.2.self_attn.qkv_proj.weight", + "language_model.model.layers.2.self_attn.qkv_proj.bias", + "language_model.model.layers.2.self_attn.o_proj.weight", + "language_model.model.layers.2.mlp.gate_up_proj.weight", + "language_model.model.layers.2.mlp.down_proj.weight", + "language_model.model.layers.2.input_layernorm.weight", + "language_model.model.layers.2.post_attention_layernorm.weight", + "language_model.model.layers.3.self_attn.qkv_proj.weight", + "language_model.model.layers.3.self_attn.qkv_proj.bias", + "language_model.model.layers.3.self_attn.o_proj.weight", + "language_model.model.layers.3.mlp.gate_up_proj.weight", + "language_model.model.layers.3.mlp.down_proj.weight", + "language_model.model.layers.3.input_layernorm.weight", + "language_model.model.layers.3.post_attention_layernorm.weight", + "language_model.model.layers.4.self_attn.qkv_proj.weight", + "language_model.model.layers.4.self_attn.qkv_proj.bias", + "language_model.model.layers.4.self_attn.o_proj.weight", + "language_model.model.layers.4.mlp.gate_up_proj.weight", + "language_model.model.layers.4.mlp.down_proj.weight", + "language_model.model.layers.4.input_layernorm.weight", + "language_model.model.layers.4.post_attention_layernorm.weight", + "language_model.model.layers.5.self_attn.qkv_proj.weight", + "language_model.model.layers.5.self_attn.qkv_proj.bias", + "language_model.model.layers.5.self_attn.o_proj.weight", + "language_model.model.layers.5.mlp.gate_up_proj.weight", + "language_model.model.layers.5.mlp.down_proj.weight", + "language_model.model.layers.5.input_layernorm.weight", + "language_model.model.layers.5.post_attention_layernorm.weight", + "language_model.model.layers.6.self_attn.qkv_proj.weight", + "language_model.model.layers.6.self_attn.qkv_proj.bias", + "language_model.model.layers.6.self_attn.o_proj.weight", + "language_model.model.layers.6.mlp.gate_up_proj.weight", + "language_model.model.layers.6.mlp.down_proj.weight", + "language_model.model.layers.6.input_layernorm.weight", + "language_model.model.layers.6.post_attention_layernorm.weight", + "language_model.model.layers.7.self_attn.qkv_proj.weight", + "language_model.model.layers.7.self_attn.qkv_proj.bias", + "language_model.model.layers.7.self_attn.o_proj.weight", + "language_model.model.layers.7.mlp.gate_up_proj.weight", + "language_model.model.layers.7.mlp.down_proj.weight", + "language_model.model.layers.7.input_layernorm.weight", + "language_model.model.layers.7.post_attention_layernorm.weight", + "language_model.model.layers.8.self_attn.qkv_proj.weight", + "language_model.model.layers.8.self_attn.qkv_proj.bias", + "language_model.model.layers.8.self_attn.o_proj.weight", + "language_model.model.layers.8.mlp.gate_up_proj.weight", + "language_model.model.layers.8.mlp.down_proj.weight", + "language_model.model.layers.8.input_layernorm.weight", + "language_model.model.layers.8.post_attention_layernorm.weight", + "language_model.model.layers.9.self_attn.qkv_proj.weight", + "language_model.model.layers.9.self_attn.qkv_proj.bias", + "language_model.model.layers.9.self_attn.o_proj.weight", + "language_model.model.layers.9.mlp.gate_up_proj.weight", + "language_model.model.layers.9.mlp.down_proj.weight", + "language_model.model.layers.9.input_layernorm.weight", + "language_model.model.layers.9.post_attention_layernorm.weight", + "language_model.model.layers.10.self_attn.qkv_proj.weight", + "language_model.model.layers.10.self_attn.qkv_proj.bias", + "language_model.model.layers.10.self_attn.o_proj.weight", + "language_model.model.layers.10.mlp.gate_up_proj.weight", + "language_model.model.layers.10.mlp.down_proj.weight", + "language_model.model.layers.10.input_layernorm.weight", + "language_model.model.layers.10.post_attention_layernorm.weight", + "language_model.model.layers.11.self_attn.qkv_proj.weight", + "language_model.model.layers.11.self_attn.qkv_proj.bias", + "language_model.model.layers.11.self_attn.o_proj.weight", + "language_model.model.layers.11.mlp.gate_up_proj.weight", + "language_model.model.layers.11.mlp.down_proj.weight", + "language_model.model.layers.11.input_layernorm.weight", + "language_model.model.layers.11.post_attention_layernorm.weight", + "language_model.model.layers.12.self_attn.qkv_proj.weight", + "language_model.model.layers.12.self_attn.qkv_proj.bias", + "language_model.model.layers.12.self_attn.o_proj.weight", + "language_model.model.layers.12.mlp.gate_up_proj.weight", + "language_model.model.layers.12.mlp.down_proj.weight", + "language_model.model.layers.12.input_layernorm.weight", + "language_model.model.layers.12.post_attention_layernorm.weight", + "language_model.model.layers.13.self_attn.qkv_proj.weight", + "language_model.model.layers.13.self_attn.qkv_proj.bias", + "language_model.model.layers.13.self_attn.o_proj.weight", + "language_model.model.layers.13.mlp.gate_up_proj.weight", + "language_model.model.layers.13.mlp.down_proj.weight", + "language_model.model.layers.13.input_layernorm.weight", + "language_model.model.layers.13.post_attention_layernorm.weight", + "language_model.model.layers.14.self_attn.qkv_proj.weight", + "language_model.model.layers.14.self_attn.qkv_proj.bias", + "language_model.model.layers.14.self_attn.o_proj.weight", + "language_model.model.layers.14.mlp.gate_up_proj.weight", + "language_model.model.layers.14.mlp.down_proj.weight", + "language_model.model.layers.14.input_layernorm.weight", + "language_model.model.layers.14.post_attention_layernorm.weight", + "language_model.model.layers.15.self_attn.qkv_proj.weight", + "language_model.model.layers.15.self_attn.qkv_proj.bias", + "language_model.model.layers.15.self_attn.o_proj.weight", + "language_model.model.layers.15.mlp.gate_up_proj.weight", + "language_model.model.layers.15.mlp.down_proj.weight", + "language_model.model.layers.15.input_layernorm.weight", + "language_model.model.layers.15.post_attention_layernorm.weight", + "language_model.model.layers.16.self_attn.qkv_proj.weight", + "language_model.model.layers.16.self_attn.qkv_proj.bias", + "language_model.model.layers.16.self_attn.o_proj.weight", + "language_model.model.layers.16.mlp.gate_up_proj.weight", + "language_model.model.layers.16.mlp.down_proj.weight", + "language_model.model.layers.16.input_layernorm.weight", + "language_model.model.layers.16.post_attention_layernorm.weight", + "language_model.model.layers.17.self_attn.qkv_proj.weight", + "language_model.model.layers.17.self_attn.qkv_proj.bias", + "language_model.model.layers.17.self_attn.o_proj.weight", + "language_model.model.layers.17.mlp.gate_up_proj.weight", + "language_model.model.layers.17.mlp.down_proj.weight", + "language_model.model.layers.17.input_layernorm.weight", + "language_model.model.layers.17.post_attention_layernorm.weight", + "language_model.model.layers.18.self_attn.qkv_proj.weight", + "language_model.model.layers.18.self_attn.qkv_proj.bias", + "language_model.model.layers.18.self_attn.o_proj.weight", + "language_model.model.layers.18.mlp.gate_up_proj.weight", + "language_model.model.layers.18.mlp.down_proj.weight", + "language_model.model.layers.18.input_layernorm.weight", + "language_model.model.layers.18.post_attention_layernorm.weight", + "language_model.model.layers.19.self_attn.qkv_proj.weight", + "language_model.model.layers.19.self_attn.qkv_proj.bias", + "language_model.model.layers.19.self_attn.o_proj.weight", + "language_model.model.layers.19.mlp.gate_up_proj.weight", + "language_model.model.layers.19.mlp.down_proj.weight", + "language_model.model.layers.19.input_layernorm.weight", + "language_model.model.layers.19.post_attention_layernorm.weight", + "language_model.model.layers.20.self_attn.qkv_proj.weight", + "language_model.model.layers.20.self_attn.qkv_proj.bias", + "language_model.model.layers.20.self_attn.o_proj.weight", + "language_model.model.layers.20.mlp.gate_up_proj.weight", + "language_model.model.layers.20.mlp.down_proj.weight", + "language_model.model.layers.20.input_layernorm.weight", + "language_model.model.layers.20.post_attention_layernorm.weight", + "language_model.model.layers.21.self_attn.qkv_proj.weight", + "language_model.model.layers.21.self_attn.qkv_proj.bias", + "language_model.model.layers.21.self_attn.o_proj.weight", + "language_model.model.layers.21.mlp.gate_up_proj.weight", + "language_model.model.layers.21.mlp.down_proj.weight", + "language_model.model.layers.21.input_layernorm.weight", + "language_model.model.layers.21.post_attention_layernorm.weight", + "language_model.model.layers.22.self_attn.qkv_proj.weight", + "language_model.model.layers.22.self_attn.qkv_proj.bias", + "language_model.model.layers.22.self_attn.o_proj.weight", + "language_model.model.layers.22.mlp.gate_up_proj.weight", + "language_model.model.layers.22.mlp.down_proj.weight", + "language_model.model.layers.22.input_layernorm.weight", + "language_model.model.layers.22.post_attention_layernorm.weight", + "language_model.model.layers.23.self_attn.qkv_proj.weight", + "language_model.model.layers.23.self_attn.qkv_proj.bias", + "language_model.model.layers.23.self_attn.o_proj.weight", + "language_model.model.layers.23.mlp.gate_up_proj.weight", + "language_model.model.layers.23.mlp.down_proj.weight", + "language_model.model.layers.23.input_layernorm.weight", + "language_model.model.layers.23.post_attention_layernorm.weight", + "language_model.model.layers.24.self_attn.qkv_proj.weight", + "language_model.model.layers.24.self_attn.qkv_proj.bias", + "language_model.model.layers.24.self_attn.o_proj.weight", + "language_model.model.layers.24.mlp.gate_up_proj.weight", + "language_model.model.layers.24.mlp.down_proj.weight", + "language_model.model.layers.24.input_layernorm.weight", + "language_model.model.layers.24.post_attention_layernorm.weight", + "language_model.model.layers.25.self_attn.qkv_proj.weight", + "language_model.model.layers.25.self_attn.qkv_proj.bias", + "language_model.model.layers.25.self_attn.o_proj.weight", + "language_model.model.layers.25.mlp.gate_up_proj.weight", + "language_model.model.layers.25.mlp.down_proj.weight", + "language_model.model.layers.25.input_layernorm.weight", + "language_model.model.layers.25.post_attention_layernorm.weight", + "language_model.model.layers.26.self_attn.qkv_proj.weight", + "language_model.model.layers.26.self_attn.qkv_proj.bias", + "language_model.model.layers.26.self_attn.o_proj.weight", + "language_model.model.layers.26.mlp.gate_up_proj.weight", + "language_model.model.layers.26.mlp.down_proj.weight", + "language_model.model.layers.26.input_layernorm.weight", + "language_model.model.layers.26.post_attention_layernorm.weight", + "language_model.model.layers.27.self_attn.qkv_proj.weight", + "language_model.model.layers.27.self_attn.qkv_proj.bias", + "language_model.model.layers.27.self_attn.o_proj.weight", + "language_model.model.layers.27.mlp.gate_up_proj.weight", + "language_model.model.layers.27.mlp.down_proj.weight", + "language_model.model.layers.27.input_layernorm.weight", + "language_model.model.layers.27.post_attention_layernorm.weight", + "language_model.model.layers.28.self_attn.qkv_proj.weight", + "language_model.model.layers.28.self_attn.qkv_proj.bias", + "language_model.model.layers.28.self_attn.o_proj.weight", + "language_model.model.layers.28.mlp.gate_up_proj.weight", + "language_model.model.layers.28.mlp.down_proj.weight", + "language_model.model.layers.28.input_layernorm.weight", + "language_model.model.layers.28.post_attention_layernorm.weight", + "language_model.model.layers.29.self_attn.qkv_proj.weight", + "language_model.model.layers.29.self_attn.qkv_proj.bias", + "language_model.model.layers.29.self_attn.o_proj.weight", + "language_model.model.layers.29.mlp.gate_up_proj.weight", + "language_model.model.layers.29.mlp.down_proj.weight", + "language_model.model.layers.29.input_layernorm.weight", + "language_model.model.layers.29.post_attention_layernorm.weight", + "language_model.model.layers.30.self_attn.qkv_proj.weight", + "language_model.model.layers.30.self_attn.qkv_proj.bias", + "language_model.model.layers.30.self_attn.o_proj.weight", + "language_model.model.layers.30.mlp.gate_up_proj.weight", + "language_model.model.layers.30.mlp.down_proj.weight", + "language_model.model.layers.30.input_layernorm.weight", + "language_model.model.layers.30.post_attention_layernorm.weight", + "language_model.model.layers.31.self_attn.qkv_proj.weight", + "language_model.model.layers.31.self_attn.qkv_proj.bias", + "language_model.model.layers.31.self_attn.o_proj.weight", + "language_model.model.layers.31.mlp.gate_up_proj.weight", + "language_model.model.layers.31.mlp.down_proj.weight", + "language_model.model.layers.31.input_layernorm.weight", + "language_model.model.layers.31.post_attention_layernorm.weight", + "language_model.model.layers.32.self_attn.qkv_proj.weight", + "language_model.model.layers.32.self_attn.qkv_proj.bias", + "language_model.model.layers.32.self_attn.o_proj.weight", + "language_model.model.layers.32.mlp.gate_up_proj.weight", + "language_model.model.layers.32.mlp.down_proj.weight", + "language_model.model.layers.32.input_layernorm.weight", + "language_model.model.layers.32.post_attention_layernorm.weight", + "language_model.model.layers.33.self_attn.qkv_proj.weight", + "language_model.model.layers.33.self_attn.qkv_proj.bias", + "language_model.model.layers.33.self_attn.o_proj.weight", + "language_model.model.layers.33.mlp.gate_up_proj.weight", + "language_model.model.layers.33.mlp.down_proj.weight", + "language_model.model.layers.33.input_layernorm.weight", + "language_model.model.layers.33.post_attention_layernorm.weight", + "language_model.model.layers.34.self_attn.qkv_proj.weight", + "language_model.model.layers.34.self_attn.qkv_proj.bias", + "language_model.model.layers.34.self_attn.o_proj.weight", + "language_model.model.layers.34.mlp.gate_up_proj.weight", + "language_model.model.layers.34.mlp.down_proj.weight", + "language_model.model.layers.34.input_layernorm.weight", + "language_model.model.layers.34.post_attention_layernorm.weight", + "language_model.model.layers.35.self_attn.qkv_proj.weight", + "language_model.model.layers.35.self_attn.qkv_proj.bias", + "language_model.model.layers.35.self_attn.o_proj.weight", + "language_model.model.layers.35.mlp.gate_up_proj.weight", + "language_model.model.layers.35.mlp.down_proj.weight", + "language_model.model.layers.35.input_layernorm.weight", + "language_model.model.layers.35.post_attention_layernorm.weight", + "language_model.model.norm.weight" + ] +} \ No newline at end of file diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000000000000000000000000000000000000..261eeb9e9f8b2b4b0d119366dda99c6fd7d35c64 --- /dev/null +++ b/LICENSE @@ -0,0 +1,201 @@ + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. Definitions. + + "License" shall mean the terms and conditions for use, reproduction, + and distribution as defined by Sections 1 through 9 of this document. + + "Licensor" shall mean the copyright owner or entity authorized by + the copyright owner that is granting the License. + + "Legal Entity" shall mean the union of the acting entity and all + other entities that control, are controlled by, or are under common + control with that entity. For the purposes of this definition, + "control" means (i) the power, direct or indirect, to cause the + direction or management of such entity, whether by contract or + otherwise, or (ii) ownership of fifty percent (50%) or more of the + outstanding shares, or (iii) beneficial ownership of such entity. + + "You" (or "Your") shall mean an individual or Legal Entity + exercising permissions granted by this License. + + "Source" form shall mean the preferred form for making modifications, + including but not limited to software source code, documentation + source, and configuration files. + + "Object" form shall mean any form resulting from mechanical + transformation or translation of a Source form, including but + not limited to compiled object code, generated documentation, + and conversions to other media types. + + "Work" shall mean the work of authorship, whether in Source or + Object form, made available under the License, as indicated by a + copyright notice that is included in or attached to the work + (an example is provided in the Appendix below). + + "Derivative Works" shall mean any work, whether in Source or Object + form, that is based on (or derived from) the Work and for which the + editorial revisions, annotations, elaborations, or other modifications + represent, as a whole, an original work of authorship. For the purposes + of this License, Derivative Works shall not include works that remain + separable from, or merely link (or bind by name) to the interfaces of, + the Work and Derivative Works thereof. + + "Contribution" shall mean any work of authorship, including + the original version of the Work and any modifications or additions + to that Work or Derivative Works thereof, that is intentionally + submitted to Licensor for inclusion in the Work by the copyright owner + or by an individual or Legal Entity authorized to submit on behalf of + the copyright owner. For the purposes of this definition, "submitted" + means any form of electronic, verbal, or written communication sent + to the Licensor or its representatives, including but not limited to + communication on electronic mailing lists, source code control systems, + and issue tracking systems that are managed by, or on behalf of, the + Licensor for the purpose of discussing and improving the Work, but + excluding communication that is conspicuously marked or otherwise + designated in writing by the copyright owner as "Not a Contribution." + + "Contributor" shall mean Licensor and any individual or Legal Entity + on behalf of whom a Contribution has been received by Licensor and + subsequently incorporated within the Work. + + 2. Grant of Copyright License. Subject to the terms and conditions of + this License, each Contributor hereby grants to You a perpetual, + worldwide, non-exclusive, no-charge, royalty-free, irrevocable + copyright license to reproduce, prepare Derivative Works of, + publicly display, publicly perform, sublicense, and distribute the + Work and such Derivative Works in Source or Object form. + + 3. Grant of Patent License. Subject to the terms and conditions of + this License, each Contributor hereby grants to You a perpetual, + worldwide, non-exclusive, no-charge, royalty-free, irrevocable + (except as stated in this section) patent license to make, have made, + use, offer to sell, sell, import, and otherwise transfer the Work, + where such license applies only to those patent claims licensable + by such Contributor that are necessarily infringed by their + Contribution(s) alone or by combination of their Contribution(s) + with the Work to which such Contribution(s) was submitted. If You + institute patent litigation against any entity (including a + cross-claim or counterclaim in a lawsuit) alleging that the Work + or a Contribution incorporated within the Work constitutes direct + or contributory patent infringement, then any patent licenses + granted to You under this License for that Work shall terminate + as of the date such litigation is filed. + + 4. Redistribution. You may reproduce and distribute copies of the + Work or Derivative Works thereof in any medium, with or without + modifications, and in Source or Object form, provided that You + meet the following conditions: + + (a) You must give any other recipients of the Work or + Derivative Works a copy of this License; and + + (b) You must cause any modified files to carry prominent notices + stating that You changed the files; and + + (c) You must retain, in the Source form of any Derivative Works + that You distribute, all copyright, patent, trademark, and + attribution notices from the Source form of the Work, + excluding those notices that do not pertain to any part of + the Derivative Works; and + + (d) If the Work includes a "NOTICE" text file as part of its + distribution, then any Derivative Works that You distribute must + include a readable copy of the attribution notices contained + within such NOTICE file, excluding those notices that do not + pertain to any part of the Derivative Works, in at least one + of the following places: within a NOTICE text file distributed + as part of the Derivative Works; within the Source form or + documentation, if provided along with the Derivative Works; or, + within a display generated by the Derivative Works, if and + wherever such third-party notices normally appear. The contents + of the NOTICE file are for informational purposes only and + do not modify the License. You may add Your own attribution + notices within Derivative Works that You distribute, alongside + or as an addendum to the NOTICE text from the Work, provided + that such additional attribution notices cannot be construed + as modifying the License. + + You may add Your own copyright statement to Your modifications and + may provide additional or different license terms and conditions + for use, reproduction, or distribution of Your modifications, or + for any such Derivative Works as a whole, provided Your use, + reproduction, and distribution of the Work otherwise complies with + the conditions stated in this License. + + 5. Submission of Contributions. Unless You explicitly state otherwise, + any Contribution intentionally submitted for inclusion in the Work + by You to the Licensor shall be under the terms and conditions of + this License, without any additional terms or conditions. + Notwithstanding the above, nothing herein shall supersede or modify + the terms of any separate license agreement you may have executed + with Licensor regarding such Contributions. + + 6. Trademarks. This License does not grant permission to use the trade + names, trademarks, service marks, or product names of the Licensor, + except as required for reasonable and customary use in describing the + origin of the Work and reproducing the content of the NOTICE file. + + 7. Disclaimer of Warranty. Unless required by applicable law or + agreed to in writing, Licensor provides the Work (and each + Contributor provides its Contributions) on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or + implied, including, without limitation, any warranties or conditions + of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A + PARTICULAR PURPOSE. You are solely responsible for determining the + appropriateness of using or redistributing the Work and assume any + risks associated with Your exercise of permissions under this License. + + 8. Limitation of Liability. In no event and under no legal theory, + whether in tort (including negligence), contract, or otherwise, + unless required by applicable law (such as deliberate and grossly + negligent acts) or agreed to in writing, shall any Contributor be + liable to You for damages, including any direct, indirect, special, + incidental, or consequential damages of any character arising as a + result of this License or out of the use or inability to use the + Work (including but not limited to damages for loss of goodwill, + work stoppage, computer failure or malfunction, or any and all + other commercial damages or losses), even if such Contributor + has been advised of the possibility of such damages. + + 9. Accepting Warranty or Additional Liability. While redistributing + the Work or Derivative Works thereof, You may choose to offer, + and charge a fee for, acceptance of support, warranty, indemnity, + or other liability obligations and/or rights consistent with this + License. However, in accepting such obligations, You may act only + on Your own behalf and on Your sole responsibility, not on behalf + of any other Contributor, and only if You agree to indemnify, + defend, and hold each Contributor harmless for any liability + incurred by, or claims asserted against, such Contributor by reason + of your accepting any such warranty or additional liability. + + END OF TERMS AND CONDITIONS + + APPENDIX: How to apply the Apache License to your work. + + To apply the Apache License to your work, attach the following + boilerplate notice, with the fields enclosed by brackets "[]" + replaced with your own identifying information. (Don't include + the brackets!) The text should be enclosed in the appropriate + comment syntax for the file format. We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright [yyyy] [name of copyright owner] + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..e6a1229dffbdbd8ac2743188d2ea216dcfc1fe4d --- /dev/null +++ b/README.md @@ -0,0 +1,164 @@ +# ⏱️ TimeSearch-R: Adaptive Temporal Search for Long-Form Video Understanding via Self-Verification Reinforcement Learning + +*A model that learns to actively search for relevant temporal clips through end-to-end reinforcement learning.* + +[📄 [Paper](https://arxiv.org/abs/2511.05489)] [🤗 [Model](https://huggingface.co/Time-Search/TimeSearch-R)] + +## 📰 News + +🔥 **[2025/11/13]** Our [Model Checkpoint](https://huggingface.co/Time-Search/TimeSearch-R) is uploaded! + +## 👁️ Overview + +TimeSearch-R reformulates temporal search as interleaved text–video thinking, seamlessly integrating searching video clips into the reasoning process through reinforcement learning (RL). + +![Teaser](assets/teaser.png) + +We introduce GRPO with Completeness Self-Verification (GRPO-CSV), which gathers searched video frames from the interleaved reasoning process and utilizes the same policy model to verify the adequacy of searched frames, thereby improving the completeness of video reasoning. + +![GRPO-CSV](assets/grpo_csv.png) + +## 🚀 Quick Start + +### 🏝️ Environmental Setup + +**Step 1:** Prepare the running environment. + +Prepare the environment with CUDA and PyTorch (CUDA 12.4 and PyTorch 2.6.0 in our experiments), and install the dependencies with `pip`. + +```bash +pip install -r requirements.txt +``` + +**Step 2:** Run the clip server for video frame retrieval. + +Download the pre-trained SigLIP model. +```bash +huggingface-cli download google/siglip-so400m-patch14-384 --local-dir /path/to/your/local/filedir +``` +Modify the `clip_as_service/server/clip_server/torch-flow.yml` to use the downloaded local model path and run the SigLIP server. + +```bash +cd clip_as_service/server && pip3 install . + +export CUDA_VISIBLE_DEVICES=RR +export GRPC_VERBOSITY=debug +export HF_HUB_OFFLINE=1 +export PYTHONPATH=$PYTHONPATH:. + +python3 -m clip_server +``` + +### 📦️ Dataset & Model + +We provide the preprocessed JSON files for [Haystack-LVBench](https://huggingface.co/datasets/MLL-Lab/LongVideoHaystack). The corresponding `.mp4` video files can be downloaded from the original [LongVideoBench](https://huggingface.co/datasets/longvideobench/LongVideoBench) dataset. + +Download the pre-trained TimeSearch-R model. + +```bash +huggingface-cli download --resume-download Time-Search/TimeSearch-R --local-dir /path/to/your/local/filedir +``` + +**(Recommended) Prepare the frame cache and feature cache.** +To accelerate the inference and training speed, we recommend extracting the frames and features for the videos in advance. + +```bash +python3 scripts/converts/prepare_frame_cache.py /path/to/your/local/data_root /path/to/your/local/haystack_lvbench_input.jsonl --num_workers 16 --target_fps 2 +python3 scripts/converts/prepare_feature_cache.py /path/to/your/local/data_root /path/to/your/local/haystack_lvbench_input.jsonl --num_workers 16 +``` + +### 📋️ Inference & Evaluation + +**Step 1:** Run the TimeSearch-R inference. + +```bash +# The IP address from the above step +export SIGLIP_URL=grpc://127.0.0.1:51000 + +torchrun \ + --nproc_per_node=8 \ + --master_port=24137 \ + time_r1/inference.py \ + --input_path /path/to/your/local/haystack_lvbench_input.jsonl \ + --save_path /path/to/your/local/haystack_lvbench_output \ + --data_root /path/to/your/local/data_root \ + --model_base /path/to/your/local/checkpoint \ + --prompt_template v4 \ + --use_env True \ + --use_vllm True \ + --batch_size 1 \ + --num_data_workers 2 \ + --total_video_tokens 24000 \ + --max_frames 768 \ + --max_tokens 256 +``` + +**Step 2:** Evaluate the temporal search and QA performance. + +The temporal search evaluation script is modified from [T*](https://github.com/mll-lab-nu/TStar). + +```bash +# Temporal search evaluation +python time_r1/eval/eval_temporal_search.py --search_result_path /path/to/your/local/haystack_lvbench_output.jsonl + +# QA evaluation +python time_r1/eval/longvideobench_eval.py /path/to/your/local/haystack_lvbench_output.jsonl +``` + +### 🏗️ GRPO-CSV Training + +**Step 1:** Prepare the reward model. + +We use [Qwen-2.5-72B-Instruct](https://huggingface.co/Qwen/Qwen2.5-72B-Instruct) as our reward model for LLM-as-a-judge verification. + +```bash +# download Qwen-2.5-72B-Instruct model +huggingface-cli download --resume-download https://huggingface.co/Qwen/Qwen2.5-72B-Instruct --local-dir /path/to/your/local/filedir +``` + +Start a VLLM server of [Qwen-2.5-72B-Instruct](https://huggingface.co/Qwen/Qwen2.5-72B-Instruct) for LLM-as-a-judge verification. + +```bash +vllm serve /path/to/your/local/filedir \ + --port 18901 \ + --gpu-memory-utilization 0.8 \ + --max-model-len 32768 \ + --tensor-parallel-size 8 \ + --served-model-name "judge" \ + --trust-remote-code \ + --disable-log-requests +``` + +**Step 2:** Train TimeSearch-R with GRPO-CSV. + +We recommend using no less than 16 GPUs (2 nodes x 8 GPUs) for 7B training. For each node, we recommend using no less than 1024GB CPU RAM, as the long-form videos in training datasets can consume a large amount of memory. + +We provide the training script for TimeSearch-R with GRPO-CSV in `scripts/train.sh`. + +```bash +bash scripts/train.sh +``` + +## 🔖 Citation + +If you find TimeSearch-R useful for your research and applications, please cite using this BibTeX: +```bibtex +@article{timesearch-r, + title={TimeSearch-R: Adaptive Temporal Search for Long-Form Video Understanding via Self-Verification Reinforcement Learning}, + author={Pan, Junwen and Zhang, Qizhe and Zhang, Rui and Lu, Ming and Wan, Xin and Zhang, Yuan and Liu, Chang and She, Qi}, + journal={arXiv preprint arXiv:2511.05489}, + year={2025} +} +``` + +## 🎟️ License + +This project is released under the [Apache 2.0 license](LICENSE). + +## 🏅 Acknowledgements + +We thank the authors of the following projects for their contributions: +* [Qwen2.5-VL](https://github.com/QwenLM/Qwen2.5-VL) +* [R1-V](https://github.com/Deep-Agent/R1-V) +* [trl](https://github.com/huggingface/trl) +* [T*](https://github.com/mll-lab-nu/TStar) diff --git a/all_output_reflect.jsonl b/all_output_reflect.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b1a3ba313d71b95d688b08f74c8a54eab5211eb0 --- /dev/null +++ b/all_output_reflect.jsonl @@ -0,0 +1,815 @@ +{"video_id": "7F9IrtSHmc0", "video_path": "/data/shuimu.chen/LongVideoBench/videos/7F9IrtSHmc0.mp4", "question": "In a room with a wall tiger and a map on the wall, there is a man wearing a white shirt. What is he doing?", "options": "A) drinking water\nB) playing with a cell phone\nC) speaking\nD) dancing", "answer": "C", "duration_group": 600, "gt_frame_index": [305], "duration": 422.66, "video": "/data/shuimu.chen/LongVideoBench/videos/7F9IrtSHmc0.mp4", "prediction": [{"role": "system", "content": [{"type": "text", "text": "You are a helpful video assistant.\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within XML tags:\n\n{\"type\": \"function\", \"function\": {\"name\": \"seek_video_frames\", \"description\": \"Search and select video frames according to textual query and temporal window. Time is in seconds.\", \"parameters\": {\"type\": \"object\", \"properties\": {\"query\": {\"type\": \"string\", \"description\": \"The query is used to describe the object, scene, or event of interest in the video thoroughly and clearly. \"}, \"start_time\": {\"type\": \"number\", \"description\": \"Start time of the segment of interest. \"}, \"end_time\": {\"type\": \"number\", \"description\": \"End time of the segment of interest. \"}, \"num_frames\": {\"type\": \"integer\", \"description\": \"Number of frames to sample (maximum 8). Default is 8.\"}}, \"required\": [\"query\"]}}}\n\n\nFor each function call, return a json object with function name and arguments within XML tags:\n\n{\"name\": , \"arguments\": }\n"}]}, {"role": "user", "content": [{"type": "video", "video": "