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95 lines
3.6 KiB
Markdown
95 lines
3.6 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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```
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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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---
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<!-- WFGY_FOOTER_START -->
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### Explore More
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| Layer | Page | What it’s for |
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| --- | --- | --- |
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| ⭐ Proof | [WFGY Recognition Map](/recognition/README.md) | External citations, integrations, and ecosystem proof |
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| ⚙️ Engine | [WFGY 1.0](/legacy/README.md) | Original PDF tension engine and early logic sketch (legacy reference) |
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| ⚙️ Engine | [WFGY 2.0](/core/README.md) | Production tension kernel for RAG and agent systems |
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| ⚙️ Engine | [WFGY 3.0](/TensionUniverse/EventHorizon/README.md) | TXT based Singularity tension engine (131 S class set) |
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| 🗺️ Map | [Problem Map 1.0](/ProblemMap/README.md) | Flagship 16 problem RAG failure taxonomy and fix map |
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| 🗺️ Map | [Problem Map 2.0](/ProblemMap/wfgy-rag-16-problem-map-global-debug-card.md) | Global Debug Card for RAG and agent pipeline diagnosis |
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| 🗺️ Map | [Problem Map 3.0](/ProblemMap/wfgy-ai-problem-map-troubleshooting-atlas.md) | Global AI troubleshooting atlas and failure pattern map |
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| 🧰 App | [TXT OS](/OS/README.md) | .txt semantic OS with fast bootstrap |
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| 🧰 App | [Blah Blah Blah](/OS/BlahBlahBlah/README.md) | Abstract and paradox Q&A built on TXT OS |
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| 🧰 App | [Blur Blur Blur](/OS/BlurBlurBlur/README.md) | Text to image generation with semantic control |
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| 🏡 Onboarding | [Starter Village](/StarterVillage/README.md) | Guided entry point for new users |
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If this repository helped, starring it improves discovery so more builders can find the docs and tools.
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[](https://github.com/onestardao/WFGY)
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<!-- WFGY_FOOTER_END -->
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