onnxruntime-ggml
An onnxruntime execution provider that runs ONNX models on ggml's Metal, Vulkan and CPU kernels.
uv pip install onnxruntime-ggml
Requires Python 3.11 or newer.
The wheel includes the native provider and installs a compatible onnxruntime. Supports macOS 14+ (Apple silicon), Linux x86_64 (glibc 2.35+) and aarch64 (glibc 2.39+), and Windows x64. No compiler or separate ggml installation is needed.
import onnxruntime_ggml as ggml
session = ggml.InferenceSession("model.onnx") # ggml first, CPU provider as fallback
session = ggml.InferenceSession("model.onnx", {"device": "cpu", "threads": 4})
Or keep your own session options:
import onnxruntime as ort, onnxruntime_ggml as ggml
so = ggml.session_options({"device": "gpu"})
session = ort.InferenceSession("model.onnx", so)
Set ORT_GGML_LOG=debug to see what the provider does with a graph. Full docs: https://github.com/thewh1teagle/onnxruntime-ggml
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