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31 lines
1.2 KiB
Python
31 lines
1.2 KiB
Python
# example_04_remote_inference.py
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# Toggle between local random logits and Hugging Face remote model
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import pathlib, sys, numpy as np
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sys.path.insert(0, str(pathlib.Path(__file__).resolve().parents[1]))
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import wfgy_sdk as w
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from wfgy_sdk.evaluator import compare_logits
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# --- toggle here ---------------------------------------------------------
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use_remote = False # True = call HF endpoint
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MODEL_ID = "tiiuae/falcon-7b-instruct"
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prompt = "Explain semantic gravity in one tweet."
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# ------------------------------------------------------------------------
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logits_before = (
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w.call_remote_model(prompt, model_id=MODEL_ID) if use_remote
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else np.random.randn(32000)
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)
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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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eng = w.get_engine(reload=True)
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logits_after = eng.run(input_vec=I, ground_vec=G, logits=logits_before)
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m = compare_logits(logits_before, logits_after)
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print("\n=== Example 04 · Remote toggle demo ===")
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print(f"Source: {'HF API ' + MODEL_ID if use_remote else 'local random'}")
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print(f"KL {m['kl_divergence']:.2f} | var↓ {(1-m['std_ratio'])*100:.0f}%")
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print("⚠ Larger LLM → stronger variance drop & higher KL.\n")
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