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# Mirrors fast_dvlm/requirements.txt; PyTorch cu124 wheels avoid cu130 driver requirements.
--extra-index-url https://download.pytorch.org/whl/cu124

# Core inference / training stack
torch==2.6.0
torchvision==0.21.0
transformers==4.57.1
tokenizers>=0.13.3
accelerate>=1.5.0
peft>=0.10.0
datasets==2.14.6
pyarrow==18.0.0
deepspeed>=0.14.4
evaluate==0.4.0
sentencepiece
einops>=0.6.1
qwen-vl-utils==0.0.14
Pillow>=10.0.0
numpy
tqdm

# lmflow vendored under fast_ddrive/lmflow still uses pkg_resources via versioning util.
setuptools>=64,<81
cpm_kernels==1.0.11
wandb

# Optional: Waymo official ADE / RFS metrics (separate `autovla` env recommended;
# tensorflow + waymo_open_dataset conflict with the main inference stack).
# tensorflow==2.12.0
# waymo-open-dataset-tf-2-12-0