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jax2onnx-models – AI Model by enpasos | AlphaNeural AI
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enpasos
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jax2onnx-models
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onnx
jax
jax2onnx
model-conversion
apache-2.0
us
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jax2onnx-models
🧪 This repository hosts
ONNX models
generated by the
jax2onnx
converter as part of its automated
pytest suite
.
These models are used to:
Validate correctness of the ONNX export pipeline
Provide public artifacts for visualization and inspection (e.g., with Netron)
Enable CI verification of shape/type fidelity, runtime compatibility, and graph structure
📦 Format
All models are stored in the
ONNX (Open Neural Network Exchange)
format.
They are compatible with:
ONNX runtimes (ONNX Runtime, TensorRT, etc.)
Netron for visual graph inspection
External ONNX validators
Models may include both small unit test graphs and larger architectures like GPT LLMs or Vision Transformers.
🔁 Update Policy
This repository is updated regularly with models generated during testing.
Only the latest model state is kept
— older versions are overwritten as needed.
We do
not maintain file history
to keep the repository lightweight.
📄 License
This repository and all included model files are licensed under the
Apache License 2.0
.
See
LICENSE
for details.
