mirror of
https://github.com/onestardao/WFGY.git
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51 lines
2.8 KiB
Python
51 lines
2.8 KiB
Python
"""
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╭──────────────────────────────────────────────────────────╮
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│ WFGY SDK · Self-Healing Variance Gate for Any LLM │
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│----------------------------------------------------------│
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│ 💌 Contact : hello@onestardao.com / TG @PSBigBig │
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│ 🌐 Docs : https://onestardao.com/papers │
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│ 🐙 GitHub : https://github.com/onestardao/WFGY │
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│ │
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│ ★ Star WFGY 1.0 → Unlock 2.0 │
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│ 10k ⭐ by **Aug 1st** = next-gen AI alchemy │
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│ Your click = our quantum leap │
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│ │
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│ 🔍 Official PDF of WFGY 1.0 (Zenodo DOI): │
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│ https://doi.org/10.5281/zenodo.15630969 │
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│ (Hosted on Zenodo – trusted international archive) │
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│ │
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│ 🧬 WFGY BigBang Prompt Pack (v1.0): │
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│ https://doi.org/10.5281/zenodo.15657016 │
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│ (Prompts to trigger the gate; multilingual updates coming) │
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│ │
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│ 🧠 Hidden folder inside repo: /I_am_not_lizardman │
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│ (X secret papers, wild prompts, and Einstein drama) │
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│ │
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│ ⚠ GPT-2 demo is just the appetizer. With bigger LLMs, │
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│ WFGY activates variance-drop lasers and KL fireworks. │
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│ │
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│ 🎮 Bonus: Honest Hero RPG Channel → │
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│ https://www.youtube.com/@OneStarDao │
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╰──────────────────────────────────────────────────────────╯
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"""
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# cli.py
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import argparse, wfgy_sdk as w
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from wfgy_sdk.evaluator import compare_logits, pretty_print
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import numpy as np
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def main():
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parser = argparse.ArgumentParser()
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parser.add_argument("prompt", help="text prompt to test")
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parser.add_argument("--model", default="gpt2",
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help="huggingface model id (public)")
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args = parser.parse_args()
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logits = w.call_remote_model(args.prompt, model_id=args.model)
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G = np.random.randn(128); G /= np.linalg.norm(G)
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I = G + np.random.normal(scale=0.05, size=128)
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logits_mod = w.get_engine().run(input_vec=I, ground_vec=G, logits=logits)
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pretty_print(compare_logits(logits, logits_mod))
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if __name__ == "__main__":
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main()
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