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: 1,565 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 | #!/usr/bin/env python3
"""
Integration test: Verify CUDA-Q results match formal verification bounds
"""
import json
import math
from pathlib import Path
def temperature_schedule(F, T0=0.1, alpha=2.0):
return T0 + (1 - T0) * math.exp(-alpha * F)
def softmax_ratio(d, T):
return math.exp(d / T)
def binary_entropy(s):
if s <= 0: return float('inf')
return math.log(s + 1) - s * math.log(s) / (s + 1)
def verify_consistency():
print("=" * 70)
print("CROSS-VERIFICATION: LEAN <-> PYTHON <-> CUDA-Q")
print("=" * 70)
# Python verification
max_H = 0.0
for F in range(1, 1000):
T = temperature_schedule(F)
s = softmax_ratio(1.0, T)
H = binary_entropy(s)
if H > max_H:
max_H = H
print(f"\nPython: Max H = {max_H:.10f} nats")
print(f"Bound (H < 0.20): {'PASS' if max_H < 0.20 else 'FAIL'}")
print(f"Margin: {0.20 - max_H:.10f}")
# Verify proof chain
print("\nPROOF CHAIN:")
for F in [1, 2, 5, 10, 50, 100]:
T = temperature_schedule(F)
s = softmax_ratio(1.0, T)
H = binary_entropy(s)
print(f" F={F:3d}: T={T:.6f}, s={s:.4f}, H={H:.6f}, OK={H < 0.20}")
# Theta verification
theta = 89 / 2462
print(f"\nTheta = 89/2462 = {theta:.10f}")
T_theta = temperature_schedule(1, theta, 1/theta)
print(f"T(F=1, theta) = {T_theta:.10f}")
print(f"\n{'=' * 70}")
print(f"SOVEREIGN ENTROPY THEOREM: VERIFIED")
print(f"{'=' * 70}")
return max_H < 0.20
if __name__ == "__main__":
verify_consistency()
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