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71 lines
2.1 KiB
Markdown
71 lines
2.1 KiB
Markdown
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# WFGY – Public API Specs & ONNX Graphs
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*Version 1.0 · last updated 2025-06-12*
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WFGY is open by design.
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To guarantee that each module can be inspected, audited, or re-implemented,
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we publish (1) a concise API spec and (2) a lightweight ONNX graph for every
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core component.
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Download the `.onnx` files and open them in **[Netron](https://netron.app)**
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or any ONNX viewer to see the exact computation graph—no black box, no
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hidden layers.
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| Module | API spec | ONNX graph |
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|--------|----------|-----------|
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| **BBMC**<br>_Semantic Residue_ | [`bbmc_api.md`](bbmc_api.md) | [`onnx/bbmc.onnx`](onnx/bbmc.onnx) |
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| **BBPF**<br>_Progression Flow_ | [`bbpf_api.md`](bbpf_api.md) | [`onnx/bbpf.onnx`](onnx/bbpf.onnx) |
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| **BBCR**<br>_Collapse–Rebirth_ | [`bbcr_api.md`](bbcr_api.md) | [`onnx/bbcr.onnx`](onnx/bbcr.onnx) |
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| **BBAM**<br>_Attention Modulator_ | [`bbam_api.md`](bbam_api.md) | [`onnx/bbam.onnx`](onnx/bbam.onnx) |
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---
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## Re-exporting the graphs
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All four graphs are intentionally **tiny** (~20 KB each) so they build in
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seconds and reveal the tensor flow without shipping proprietary weights.
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```bash
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# in repo root
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python export_onnx.py
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````
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This script recreates the folder structure:
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```
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specs/
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├── onnx/
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│ ├── bbam.onnx
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│ ├── bbcr.onnx
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│ ├── bbmc.onnx
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│ └── bbpf.onnx
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└── *.md # human-readable API specs
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```
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Feel free to replace these dummy graphs with full-precision weights
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if you need exact numerical reproduction.
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---
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## License & Citation
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The API descriptions and ONNX graphs are released under the MIT license.
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If you use WFGY in research, please cite the Zenodo release:
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```
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PSBigBig, “WFGY 1.0: A Self-Healing Variance Gate for LLMs,”
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Zenodo, 2025, doi:10.5281/zenodo.15630970
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```
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> ⭐ Help us reach **10 000 GitHub stars** to unlock **WFGY 2.0**!
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> Any issue / PR is welcome—open science thrives on transparency.
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```
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---
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### Will Colab runs change after adding this folder?
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No. `specs/` is pure documentation.
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All examples (`example_01`–`08`), tests, and the SDK itself remain identical,
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so you can keep running the original Colab notebook without any modification.
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```
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