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ai-interpretabilityalignmentembeddinghallucinationknowledge-graphllmopen-sourceragreasoningsemantic-enginesemantic-inferencesemantic-residuesemantic-resonancesemantic-tensionsymbolic-reasoningtransformertxt-oswanfaguiyi
| .github/workflows | ||
| benchmarks | ||
| demo | ||
| examples | ||
| images | ||
| wfgy_sdk | ||
| .gitignore | ||
| config.yaml | ||
| Dockerfile | ||
| environment.yml | ||
| manifest.txt | ||
| README.md | ||
| reproduce.sh | ||
| requirements.txt | ||
| run_all_wfgy_modules.py | ||
| run_wfgy_all_modules_demo.py | ||
| run_wfgy_with_embedding.py | ||
| setup.py | ||
| test_modules.py | ||
| test_sdk_full.py | ||
| verify_manifest.py | ||
README.md
WFGY 1.0 Reproducibility Package
A Universal Unification Framework for Large-Scale Self-Healing LLMs
Zenodo DOI: 10.5281/zenodo.15593533
GitHub: https://github.com/PSBigBig/WFGY
Quickstart
git clone https://github.com/onestardao/WFGY.git
cd WFGY
# 1. Verify file integrity
python verify_manifest.py
# 2. Create environment
conda env create -f environment.yml
conda activate wfgy
# 3. Install SDK
pip install -e .
# 4. Run reproduction
bash reproduce.sh