Scruff AI
56c71c87b2
- cuda/ — main LBM kernel (khra_gixx_1024_v5.cu) - navigator/ — lattice_observer, golden_weave, bridges, mock daemon - scripts/ — compile, start, launch, setup (paths updated) - docs/ — system manual - archive/ — everything else (old kernels, inquiries, experiments) - README.md — full setup guide: requirements, quick start, use your own LLM - removed training/ entirely (broken LoRA scripts + datasets) - .gitignore: exclude build/ logs/ training/ *.jsonl
87 lines
2.3 KiB
Python
87 lines
2.3 KiB
Python
# manifested_inquiry_direct.py
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# Direct inquiry with known state
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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("MANIFESTED REALITY INQUIRY")
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print("Scientist Mode | T=0.2 | Asymmetry > 1.0")
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print("="*70)
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# Load model
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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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# Known state from daemon
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asymmetry = 13.44
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coherence = 0.732
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cycle = 100
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print(f"\n>>> MANIFESTED STATE <<<")
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print(f"Cycle: {cycle}")
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print(f"Asymmetry: {asymmetry:.2f} (> 1.0)")
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print(f"Coherence: {coherence:.3f}")
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# THE INQUIRY — Zero vapour, facts only
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prompt = f"""The Magnifying Glass shows Asymmetry at {asymmetry:.2f}.
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The Khra'gixx injection is active at 0.03/0.008.
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The 'Vapour' is gone.
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Define the specific location of the high-density nodes in the 1024 lattice.
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Do not use Astro-Travel language.
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Give me the coordinates of the Phase Transition.
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State the facts."""
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print(f"\n{'='*70}")
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print("SCIENTIST INQUIRY (T=0.2)")
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print(f"{'='*70}")
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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
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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("MANIFESTED REALITY RESPONSE")
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print(f"{'='*70}")
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print(response)
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# Save to MANIFESTED_REALITY_01.log
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with open("MANIFESTED_REALITY_01.log", "w") as f:
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f.write(f"{'='*70}\n")
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f.write(f"MANIFESTED REALITY INQUIRY\n")
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f.write(f"Cycle: {cycle}\n")
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f.write(f"Asymmetry: {asymmetry:.4f}\n")
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f.write(f"Coherence: {coherence:.4f}\n")
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f.write(f"Temperature: 0.2 (Scientist)\n")
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f.write(f"{'='*70}\n\n")
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f.write(f"PROMPT:\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: MANIFESTED_REALITY_01.log")
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print(f"{'='*70}")
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