27 lines
1.7 KiB
Python
27 lines
1.7 KiB
Python
#!/usr/bin/env python
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# Quick self-contained eval: runs the GGUF (grammar-constrained) on built-in test passages and
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# reports JSON-validity, sarcasm handling, and contradiction detection. pip install llama-cpp-python
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import glob, json, os
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from llama_cpp import Llama, LlamaGrammar
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HERE = os.path.dirname(os.path.abspath(__file__)); ROOT = os.path.dirname(HERE)
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GGUF = (glob.glob(os.path.join(ROOT, "*.gguf")) + glob.glob(os.path.join(HERE, "*.gguf")))[0]
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PROMPT = open(os.path.join(ROOT, "prompt.txt"), encoding="utf-8").read()
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GRAMMAR = LlamaGrammar.from_string(open(os.path.join(ROOT, "claim.gbnf"), encoding="utf-8").read())
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CASES = [
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("The mayor said crime fell last year. Hours later the police chief said it actually rose.", "contradiction"),
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("What an incredible update, my phone now dies by noon. The engineers really outdid themselves.", "sarcasm"),
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("On 2024-03-12 the central bank cut rates to 4.5%, citing easing inflation.", "fact"),
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]
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llm = Llama(model_path=GGUF, n_ctx=4096, n_gpu_layers=-1, verbose=False)
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ok = con = sar = nclaims = 0
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for text, tag in CASES:
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o = llm.create_chat_completion(messages=[{"role": "user", "content": PROMPT + text}],
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grammar=GRAMMAR, temperature=0.0, max_tokens=768)
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try:
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d = json.loads(o["choices"][0]["message"]["content"]); ok += 1; nclaims += len(d.get("claims", []))
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if tag == "contradiction" and d.get("contradictions"): con += 1
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if tag == "sarcasm" and any(c.get("stance") == "ironic" for c in d.get("claims", [])): sar += 1
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except Exception:
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pass
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print(f"valid JSON: {ok}/{len(CASES)} | avg claims: {nclaims/max(1,ok):.1f} | contradiction: {con}/1 | sarcasm: {sar}/1")
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