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vLLM/requirements/cuda.txt
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+13 aeeb36b1f1 [New model] Kimi K3 (#50000)
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# Common dependencies
-r common.txt
numba == 0.65.0 # Required for N-gram speculative decoding
# Dependencies for NVIDIA GPUs
torch==2.13.0
torchaudio==2.11.0
# These must be updated alongside torch
torchvision==0.28.0 # Required for phi3v processor. See https://github.com/pytorch/vision?tab=readme-ov-file#installation for corresponding version
torchcodec >= 0.14
PyNvVideoCodec==2.0.4
# FlashInfer should be updated together with the Dockerfile
# flashinfer-cubin is not on PyPI since 0.6.14; setup.py excludes it from
# install_requires so the published wheel does not carry an unresolvable pin
--extra-index-url https://flashinfer.ai/whl/
flashinfer-python==0.6.15.post1
flashinfer-cubin==0.6.15.post1
apache-tvm-ffi==0.1.11
tilelang==0.1.12
nvidia-cudnn-frontend>=1.19.1
# Required for LLM_NVTX_SCOPES_FOR_PROFILING=1
nvtx==0.2.15
# Required for faster safetensors model loading
fastsafetensors >= 0.3.2
# QuACK and Cutlass DSL for FA4 (cute-DSL implementation)
nvidia-cutlass-dsl[cu13]==4.6.0
quack-kernels>=0.6.1 # Required for CUTLASS DSL 4.6 by MSA
# Tokenspeed_MLA for faster mla with spec decode
tokenspeed-mla==0.1.8; platform_system == "Linux"
# Humming kernels for quantization gemm
humming-kernels[cu13]==0.1.10