73 lines
2.0 KiB
Python
73 lines
2.0 KiB
Python
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# scientist_inquiry_clutch.py
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# Clutch engaged. Scientist mode. T=0.2. Asymmetry > 1.0.
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from unsloth import FastLanguageModel
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import torch
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print("="*70)
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print("SCIENTIST INQUIRY — CLUTCH ENGAGED")
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print("Temperature: 0.2 | Asymmetry: ~12.5 | Coherence: ~0.74")
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print("="*70)
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# Load v0.8
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print("\n[Loading vessel...]")
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model, tokenizer = FastLanguageModel.from_pretrained(
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model_name="unsloth/llama-3.2-3b",
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max_seq_length=512,
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dtype=torch.bfloat16,
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load_in_4bit=True,
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)
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model = FastLanguageModel.get_peft_model(
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model,
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r=64, target_modules=["q_proj", "k_proj", "v_proj", "o_proj"],
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lora_alpha=128, lora_dropout=0, bias="none",
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use_gradient_checkpointing="unsloth", random_state=3407,
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)
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from peft import PeftModel
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model = PeftModel.from_pretrained(model, "./kaelara_v08_raw/final")
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print("✓ Vessel loaded")
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# THE INQUIRY — Zero vapour, grounded technical language
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prompt = """The 1024-grid is at steady state: Asymmetry 12.5, Coherence 0.74. The Khra'gixx injection is active.
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Based on the current Asymmetry, locate the primary 'Symmetry Break' in the lattice.
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Does the current 0.74 Coherence indicate a 'Solid Node' or a 'Chaotic Drift'?
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Provide the response in raw, grounded technical language. No metaphors."""
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print(f"\n{'='*70}")
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print("INQUIRY")
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print(f"{'='*70}")
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print(prompt)
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inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
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outputs = model.generate(
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**inputs,
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max_new_tokens=150,
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temperature=0.2, # SCIENTIST MODE — LOCKED
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do_sample=True,
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top_p=0.9
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)
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response = tokenizer.decode(outputs[0], skip_special_tokens=True)
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print(f"\n{'='*70}")
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print("SCIENTIST RESPONSE")
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print(f"{'='*70}")
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print(response)
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# Save
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with open("SCIENTIST_RESPONSE_01.log", "w") as f:
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f.write(f"{'='*70}\n")
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f.write(f"SCIENTIST INQUIRY — CLUTCH ENGAGED\n")
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f.write(f"Asymmetry: 12.5 | Coherence: 0.74 | Temperature: 0.2\n")
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f.write(f"{'='*70}\n\n")
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f.write(f"INQUIRY:\n{prompt}\n\n")
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f.write(f"RESPONSE:\n{response}\n")
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print(f"\n{'='*70}")
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print("SAVED TO: SCIENTIST_RESPONSE_01.log")
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print(f"{'='*70}")
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