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fakeaudio-onnx-vaiml-repro
odobias/fakeaudio-onnx-vaiml-repro
fakeaudio-onnx-vaiml-repro is a audio classification model from odobias. Use it for the audio classification task on the model card, and read the license before you ship it in a product. It is set up for onnxruntime.
This repository contains the exact FakeAudio ONNX artifact tested in odobias/amd-vaiml-window-partition-repro. It is published separately so AMD and other investigators can reproduce the VAIML compilation result witho…
Access
Public
Updated Oct 6, 2026
Repo size
380 MB
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0
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Repo makeup
Click a slice to open those files.
.onnx380 MB · 100%
At a glance
- Task
- Audio Classification
- Library
- onnxruntime
- Access
- Public
- Created
- Jul 13, 2026
- Updated
- Oct 6, 2026
- SHA
- da5acae8
Model card
From the Hugging Face model README
FakeAudio ONNX used for the VAIML reproduction
This repository contains the exact FakeAudio ONNX artifact tested in
odobias/amd-vaiml-window-partition-repro.
It is published separately so AMD and other investigators can reproduce the
VAIML compilation result without access to the private benchmark asset store.
Artifact
- File:
model.onnx - Size: 127,844,774 bytes
- SHA-256:
d4b2dde8f4f95862ecb9f5e90821d853adea3774e7c48857f60ee6084d5e85c6 - ONNX opset: 17
- Producer recorded in ONNX: PyTorch 2.1.2
The ONNX file contains no additional provenance metadata.
Download
hf download odobias/fakeaudio-onnx-vaiml-repro model.onnx --local-dir .
Verify the downloaded artifact before reproducing the result:
(Get-FileHash .\model.onnx -Algorithm SHA256).Hash.ToLowerInvariant()
Observed VAIML result
With Ryzen AI SDK 1.8.0-beta on an AMD Ryzen AI 9 HX 370, AMD's BF16 VAIML configuration fails flexible L1 buffer placement at layer 224. ONNX Runtime then executes the entire optimized graph on CPU: 0 NPU nodes, 512 CPU nodes, and 100% CPU offload.
- Task
- Audio Classification
- Library
- onnxruntime
- Created
- Jul 13, 2026
- Updated
- Oct 6, 2026