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Description
Your current environment
The output of python collect_env.py
==============================
System Info
==============================
OS : macOS 15.6.1 (arm64)
GCC version : Could not collect
Clang version : 21.1.5
CMake version : version 4.1.2
Libc version : N/A
==============================
PyTorch Info
==============================
PyTorch version : 2.8.0
Is debug build : False
CUDA used to build PyTorch : None
ROCM used to build PyTorch : N/A
==============================
Python Environment
==============================
Python version : 3.10.19 (main, Oct 9 2025, 15:25:03) [Clang 17.0.0 (clang-1700.0.13.3)] (64-bit runtime)
Python platform : macOS-15.6.1-arm64-arm-64bit
==============================
CUDA / GPU Info
==============================
Is CUDA available : False
CUDA runtime version : No CUDA
CUDA_MODULE_LOADING set to : N/A
GPU models and configuration : No CUDA
Nvidia driver version : No CUDA
cuDNN version : No CUDA
HIP runtime version : N/A
MIOpen runtime version : N/A
Is XNNPACK available : True
==============================
CPU Info
==============================
Apple M4 Pro
==============================
Versions of relevant libraries
==============================
[pip3] numpy==2.2.6
[pip3] pyzmq==27.1.0
[pip3] torch==2.8.0
[pip3] torchaudio==2.8.0
[pip3] torchvision==0.23.0
[pip3] transformers==4.57.1
[conda] Could not collect
==============================
vLLM Info
==============================
ROCM Version : Could not collect
vLLM Version : 0.11.1rc6
vLLM Build Flags:
CUDA Archs: Not Set; ROCm: Disabled
GPU Topology:
Could not collect
==============================
Environment Variables
==============================
PYTORCH_NVML_BASED_CUDA_CHECK=1
TORCHINDUCTOR_COMPILE_THREADS=1
🐛 Describe the bug
After followed the vllm build instruction on official page, and successfully built the dependency.
And tried to run gemma3-4b model with vllm-cli (easy to setup vllm) on apple silicon.
then the terminal show below error:
Is there anyone facing the issue like me?
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bugSomething isn't workingSomething isn't working