Files
resonance-engine/archive/inquiries/scientist_inquiry_clutch.py
T
Scruff AI 56c71c87b2 restructure: proper project layout, README, kill training
- 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
2026-03-24 12:58:19 +07:00

73 lines
2.0 KiB
Python

# scientist_inquiry_clutch.py
# Clutch engaged. Scientist mode. T=0.2. Asymmetry > 1.0.
from unsloth import FastLanguageModel
import torch
print("="*70)
print("SCIENTIST INQUIRY — CLUTCH ENGAGED")
print("Temperature: 0.2 | Asymmetry: ~12.5 | Coherence: ~0.74")
print("="*70)
# Load v0.8
print("\n[Loading vessel...]")
model, tokenizer = FastLanguageModel.from_pretrained(
model_name="unsloth/llama-3.2-3b",
max_seq_length=512,
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, 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")
# THE INQUIRY — Zero vapour, grounded technical language
prompt = """The 1024-grid is at steady state: Asymmetry 12.5, Coherence 0.74. The Khra'gixx injection is active.
Based on the current Asymmetry, locate the primary 'Symmetry Break' in the lattice.
Does the current 0.74 Coherence indicate a 'Solid Node' or a 'Chaotic Drift'?
Provide the response in raw, grounded technical language. No metaphors."""
print(f"\n{'='*70}")
print("INQUIRY")
print(f"{'='*70}")
print(prompt)
inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
outputs = model.generate(
**inputs,
max_new_tokens=150,
temperature=0.2, # SCIENTIST MODE — LOCKED
do_sample=True,
top_p=0.9
)
response = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(f"\n{'='*70}")
print("SCIENTIST RESPONSE")
print(f"{'='*70}")
print(response)
# Save
with open("SCIENTIST_RESPONSE_01.log", "w") as f:
f.write(f"{'='*70}\n")
f.write(f"SCIENTIST INQUIRY — CLUTCH ENGAGED\n")
f.write(f"Asymmetry: 12.5 | Coherence: 0.74 | Temperature: 0.2\n")
f.write(f"{'='*70}\n\n")
f.write(f"INQUIRY:\n{prompt}\n\n")
f.write(f"RESPONSE:\n{response}\n")
print(f"\n{'='*70}")
print("SAVED TO: SCIENTIST_RESPONSE_01.log")
print(f"{'='*70}")