Text Generation
Transformers
entropy
hallucination
logits-processor
lean4
formal-verification
cuda-q
temperature-scheduling
audit-log
harness
guardrails
snapkitty
agda
python
cuda
Instructions to use Snapkitty/sovereign-entropy-theorem with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Snapkitty/sovereign-entropy-theorem with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Snapkitty/sovereign-entropy-theorem")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Snapkitty/sovereign-entropy-theorem", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Snapkitty/sovereign-entropy-theorem with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Snapkitty/sovereign-entropy-theorem" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Snapkitty/sovereign-entropy-theorem", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Snapkitty/sovereign-entropy-theorem
- SGLang
How to use Snapkitty/sovereign-entropy-theorem with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "Snapkitty/sovereign-entropy-theorem" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Snapkitty/sovereign-entropy-theorem", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "Snapkitty/sovereign-entropy-theorem" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Snapkitty/sovereign-entropy-theorem", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Snapkitty/sovereign-entropy-theorem with Docker Model Runner:
docker model run hf.co/Snapkitty/sovereign-entropy-theorem
File size: 5,047 Bytes
e66aefa | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 | #!/usr/bin/env python3
"""
Sovereign Entropy Theorem — Python Host Orchestration
Bridges: Lean/Agda Formal Verification <-> CUDA-Q Quantum Runtime <-> WORM Audit
"""
import subprocess
import json
import time
import hashlib
from pathlib import Path
from dataclasses import dataclass, asdict
from typing import Dict, Any
@dataclass
class SovereignArtifact:
theorem: str
version: str
author: str
trust: str
theta: float
lean_verification: Dict[str, Any]
python_verification: Dict[str, Any]
cudaq_verification: Dict[str, Any]
worm_chain_hash: str
timestamp: int
class SovereignRuntime:
def __init__(self, build_dir: Path = Path("build")):
self.build_dir = build_dir
self.executable = build_dir / "sovereign_entropy"
self.artifacts_dir = Path("artifacts")
self.artifacts_dir.mkdir(exist_ok=True)
def build(self) -> bool:
self.build_dir.mkdir(exist_ok=True)
r = subprocess.run(["cmake", "-B", str(self.build_dir), "-S", "."],
capture_output=True, text=True)
if r.returncode != 0:
print(f"CMake failed: {r.stderr}")
return False
r = subprocess.run(["cmake", "--build", str(self.build_dir), "-j"],
capture_output=True, text=True)
if r.returncode != 0:
print(f"Build failed: {r.stderr}")
return False
print("CUDA-Q engine built successfully")
return True
def run_cudaq_verification(self) -> Dict[str, Any]:
if not self.executable.exists():
return {"success": False, "error": "Executable not found"}
r = subprocess.run([str(self.executable)], capture_output=True, text=True, timeout=300)
if r.returncode != 0:
return {"success": False, "error": r.stderr}
artifact_path = Path("sovereign_entropy_cudaq_artifact.json")
if artifact_path.exists():
with open(artifact_path) as f:
return {"success": True, "data": json.load(f)}
return {"success": True, "output": r.stdout}
def run_lean_verification(self) -> Dict[str, Any]:
try:
r = subprocess.run(
["lake", "build"], capture_output=True, text=True, timeout=120,
cwd="lean")
return {"success": r.returncode == 0, "output": r.stdout, "errors": r.stderr}
except FileNotFoundError:
return {"success": False, "error": "Lean/lake not found"}
def run_python_verification(self) -> Dict[str, Any]:
try:
r = subprocess.run(
["python", "python/verify_entropy.py"],
capture_output=True, text=True, timeout=60)
return {"success": r.returncode == 0, "output": r.stdout}
except FileNotFoundError:
return {"success": False, "error": "Python not found"}
def compute_worm_hash(self, artifacts: Dict[str, Any]) -> str:
canonical = json.dumps(artifacts, sort_keys=True, separators=(',', ':'))
return hashlib.sha256(canonical.encode()).hexdigest()
def generate_final_artifact(self) -> SovereignArtifact:
print("\n" + "=" * 70)
print("SOVEREIGN ENTROPY THEOREM - FULL VERIFICATION PIPELINE")
print("=" * 70)
print("\n[1/3] Building CUDA-Q Runtime Engine...")
self.build()
print("\n[2/3] Running Lean 4 Formal Verification...")
lean_result = self.run_lean_verification()
print("\n[3/3] Running Python Numerical Verification...")
python_result = self.run_python_verification()
print("\n[+] Running CUDA-Q Quantum Verification...")
cudaq_result = self.run_cudaq_verification()
combined = {"lean": lean_result, "python": python_result, "cudaq": cudaq_result}
worm_hash = self.compute_worm_hash(combined)
artifact = SovereignArtifact(
theorem="Sovereign Entropy Theorem",
version="1.0",
author="Ahmad Ali Parr",
trust="Bel Esprit D'Accord Irrevocable Trust",
theta=89/2462,
lean_verification=lean_result,
python_verification=python_result,
cudaq_verification=cudaq_result,
worm_chain_hash=worm_hash,
timestamp=int(time.time())
)
artifact_path = self.artifacts_dir / f"sovereign_artifact_{artifact.timestamp}.json"
with open(artifact_path, 'w') as f:
json.dump(asdict(artifact), f, indent=2, default=str)
print(f"\nArtifact saved: {artifact_path}")
print(f"WORM-chain hash: {worm_hash[:64]}...")
return artifact
if __name__ == "__main__":
runtime = SovereignRuntime()
artifact = runtime.generate_final_artifact()
print(f"\nLean: {'PASS' if artifact.lean_verification.get('success') else 'FAIL'}")
print(f"Python: {'PASS' if artifact.python_verification.get('success') else 'FAIL'}")
print(f"CUDA-Q: {'PASS' if artifact.cudaq_verification.get('success') else 'FAIL'}")
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