# manifested_reality_inquiry.py # Scientist mode inquiry at A > 1.0 # Zero vapour. Facts only. import zmq import json import time from unsloth import FastLanguageModel import torch print("="*70) print("MANIFESTED REALITY INQUIRY") print("Scientist Mode | Temperature 0.2 | Asymmetry > 1.0") print("="*70) # Load v0.8 print("\n[Loading vessel...]") model, tokenizer = FastLanguageModel.from_pretrained( model_name="unsloth/llama-3.2-3b", max_seq_length=2048, dtype=torch.bfloat16, load_in_4bit=True, ) model = FastLanguageModel.get_peft_model( model, r=64, target_modules=["q_proj", "k_proj", "v_proj", "o_proj"], lora_alpha=128, lora_dropout=0.1, bias="none", use_gradient_checkpointing="unsloth", random_state=3407, ) from peft import PeftModel model = PeftModel.from_pretrained(model, "./kaelara_v08_raw/final") print("✓ Vessel loaded") # ZMQ ctx = zmq.Context() sub = ctx.socket(zmq.SUB) sub.setsockopt_string(zmq.SUBSCRIBE, "") sub.connect("tcp://127.0.0.1:5556") time.sleep(1) # subscription propagation poller = zmq.Poller() poller.register(sub, zmq.POLLIN) print("✓ Connected to Khra'gixx stream") print("\n" + "="*70) print("WAITING FOR ASYMMETRY > 1.0") print("="*70) # Wait for A > 1.0 via Poller (not NOBLOCK spam) frame = None for attempt in range(100): events = poller.poll(5000) # 5s timeout per attempt if not events: print(f" Attempt {attempt+1}/100: No data (daemon running?)") continue msg = sub.recv() frame = json.loads(msg.decode('utf-8')) if frame['asymmetry'] > 1.0: break if frame is None or frame['asymmetry'] <= 1.0: print("ERROR: No data or A <= 1.0") exit(1) asymmetry = frame['asymmetry'] coherence = frame['coherence'] cycle = frame['cycle'] print(f"\n>>> MANIFESTED STATE DETECTED <<<") print(f"Cycle: {cycle}") print(f"Asymmetry: {asymmetry:.4f} (> 1.0)") print(f"Coherence: {coherence:.4f}") print(f"Temperature: 0.2 (Scientist Mode)") # THE INQUIRY — Zero vapour, facts only prompt = f"""The Magnifying Glass shows Asymmetry at {asymmetry:.2f}. The Khra'gixx injection is active at 0.03/0.008. The 'Vapour' is gone. Define the specific location of the high-density nodes in the 1024 lattice. Do not use Astro-Travel language. Give me the coordinates of the Phase Transition. State the facts.""" print(f"\n{'='*70}") print("SCIENTIST INQUIRY") print(f"{'='*70}") print(f"\nPrompt:\n{prompt}\n") inputs = tokenizer(prompt, return_tensors="pt").to("cuda") outputs = model.generate( **inputs, max_new_tokens=200, temperature=0.2, # SCIENTIST MODE do_sample=True, top_p=0.9 ) response = tokenizer.decode(outputs[0], skip_special_tokens=True) print(f"\n{'='*70}") print("MANIFESTED REALITY RESPONSE") print(f"{'='*70}") print(response) # Save to MANIFESTED_REALITY_01.log with open("MANIFESTED_REALITY_01.log", "w") as f: f.write(f"{'='*70}\n") f.write(f"MANIFESTED REALITY INQUIRY\n") f.write(f"Cycle: {cycle}\n") f.write(f"Asymmetry: {asymmetry:.4f}\n") f.write(f"Coherence: {coherence:.4f}\n") f.write(f"Temperature: 0.2 (Scientist)\n") f.write(f"{'='*70}\n\n") f.write(f"PROMPT:\n{prompt}\n\n") f.write(f"RESPONSE:\n{response}\n") print(f"\n{'='*70}") print("SAVED TO: MANIFESTED_REALITY_01.log") print(f"{'='*70}")