squ11z1/Kairos

Kairos — Open Source AI Quantum/Classical Cryptography Assistant

<p align="center">   <img src="https://cdn-uploads.huggingface.co/production/uploads/67329d3f69fded92d56ab41a/KsodVATIm0ygq86rMB5dz.jpeg" width="100%" style="object-fit: cover; object-position: top; height: 250px;" alt="Kairos"> </p>

<p align="center"> <img src="https://img.shields.io/badge/Fine--tuned-LoRA%20r64-orange" alt="Fine-tuned"> <img src="https://img.shields.io/badge/Quantization-Q4%20%7C%20Q8%20%7C%20BF16-purple" alt="Quantization"> <img src="https://img.shields.io/badge/Hardware-IBM%20Heron%20r2-red" alt="Hardware"> </p>

<p align="center"> <img src="https://img.shields.io/badge/License-NVIDIAOpenModel-green" alt="License"> <img src="https://img.shields.io/badge/Base-Nemotron--Cascade--8B-blue" alt="Base Model"> </p>

<p align="center"> <b>Enterprise-ready AI for quantum-safe cryptography and QKD protocols</b><br> <i>Built for NIS2, DORA, PCI-DSS, and post-quantum readiness</i> </p>

🎯 Overview

Kairos is a specialized open-source AI assistant fine-tuned for quantum and classical cryptography tasks. Built on NVIDIA's Nemotron-Cascade-8B-Thinking, Kairos provides expert-level guidance on Quantum Key Distribution (QKD), cryptographic protocol analysis, and security compliance — enabling organizations to prepare for the post-quantum era.

Why Kairos?

• —🔐 Quantum-Ready: Deep expertise in QKD protocols (BB84, E91, B92, MDI-QKD, TF-QKD)
• —🏢 Enterprise-Grade: Designed for compliance with NIS2, DORA, PCI-DSS, ISO 27001
• —🔓 Open Source: Fully open for customization, audit, and enterprise deployment
• —🧠 Thinking Mode: Chain-of-thought reasoning for complex security analysis
• —⚡ Production-Ready: Multiple quantization formats for any deployment scenario

🏛️ Compliance & Enterprise Use Cases

Kairos helps organizations meet cryptographic requirements across regulatory frameworks:

Enterprise Deployment Options

🛠️ Capabilities

Core Modules

Supported Protocols & Standards

Quantum Cryptography:

• —BB84, E91, B92, Six-State Protocol
• —MDI-QKD (Measurement-Device-Independent)
• —TF-QKD (Twin-Field)
• —CV-QKD (Continuous Variable)
• —DI-QKD (Device-Independent)

Classical Cryptography:

• —RSA, ECC, AES, ChaCha20
• —TLS 1.3, X.509, PKCS standards
• —Hash functions (SHA-2, SHA-3, BLAKE)

Post-Quantum (NIST Standards):

• —ML-KEM (Kyber)
• —ML-DSA (Dilithium)
• —SLH-DSA (SPHINCS+)
• —Hybrid schemes

📊 Benchmark Performance

Domain-Specific Tasks (Target Capabilities)

General Benchmarks

Note: General benchmark reduction reflects specialization trade-off. Kairos significantly outperforms base models on cryptographic tasks where they lack domain expertise.

🔬 IBM Quantum Hardware Validation

Kairos was trained on real quantum experimental data from IBM Heron r2 processor.

Hardware Configuration

Experimental Results

🚀 Future Hardware: IBM Nighthawk

Kairos v2 will incorporate data from IBM Nighthawk processor (expected Q1 2026):

Nighthawk's improved error rates will enable:

• —Higher-fidelity QKD key generation
• —More accurate attack threshold detection
• —Extended multi-party protocols (10+ qubit GHZ states)

📦 Available Formats

🚀 Quick Start

Ollama

# Download model
huggingface-cli download squ11z1/Kairos kairos-q4_k_m.gguf --local-dir .

# Create Modelfile
cat > Modelfile << 'EOF'
FROM ./kairos-q4_k_m.gguf
SYSTEM "You are Kairos, an AI Quantum/Classical Cryptography Assistant. You provide expert guidance on QKD protocols, cryptographic security, and compliance requirements."
PARAMETER temperature 0.7
PARAMETER num_ctx 4096
EOF

# Create and run
ollama create kairos -f Modelfile
ollama run kairos

Python (Transformers)

from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

model = AutoModelForCausalLM.from_pretrained(
    "squ11z1/Kairos",
    torch_dtype=torch.bfloat16,
    device_map="auto"
)
tokenizer = AutoTokenizer.from_pretrained("squ11z1/Kairos")

messages = [
    {
        "role": "system", 
        "content": "You are Kairos, an AI Quantum/Classical Cryptography Assistant."
    },
    {
        "role": "user", 
        "content": "Implement BB84 protocol in Qiskit with QBER calculation /think"
    }
]

prompt = tokenizer.apply_chat_template(
    messages, 
    tokenize=False, 
    add_generation_prompt=True
)
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)

outputs = model.generate(
    **inputs,
    max_new_tokens=2048,
    temperature=0.7,
    do_sample=True
)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

llama.cpp

./llama-cli -m kairos-q4_k_m.gguf \
  -p "Analyze QBER of 3.5% from BB84 experiment" \
  -n 1024 --temp 0.7

vLLM (Production)

from vllm import LLM, SamplingParams

llm = LLM(model="squ11z1/Kairos", dtype="bfloat16")
params = SamplingParams(temperature=0.7, max_tokens=2048)

output = llm.generate(["Explain E91 protocol security /think"], params)
print(output[0].outputs[0].text)

🧠 Thinking Mode

Kairos inherits Nemotron's thinking capability. Use /think to enable step-by-step reasoning:

User: Is QBER of 9.5% secure for BB84? /think

Kairos: <think>
1. BB84 security threshold analysis
2. Theoretical limit: 11% (unconditional security)
3. Practical threshold: ~8-10% (with finite-key effects)
4. Given QBER: 9.5%
5. Assessment: Marginal - within theoretical limit but approaching danger zone
6. Recommendation: Increase key length, verify channel stability
</think>

The QBER of 9.5% is **marginally secure** for BB84. While it remains below 
the theoretical 11% threshold, it's concerning because:

- Finite-key effects reduce practical security margins
- Environmental noise or eavesdropping cannot be distinguished at this level
- Recommended action: Monitor for stability, consider aborting if QBER increases

**Verdict**: Proceed with caution. Implement additional privacy amplification.

🔒 Security Considerations

Responsible Use

Kairos is designed for defensive security purposes:

✅ Intended Uses:

• —Cryptographic protocol education
• —Security compliance assessment
• —QKD system development
• —Vulnerability research (authorized)
• —Post-quantum migration planning

❌ Prohibited Uses:

• —Unauthorized system attacks
• —Malware development
• —Circumventing security controls
• —Any illegal activities

Model Limitations

• —Specialized for cryptography; general knowledge may be reduced
• —Code generation tested primarily with Qiskit
• —Hardware analysis based on IBM Quantum backends
• —Security advice should be verified by domain experts
• —Not a replacement for professional security audits

🤝 Contributing

Kairos is open for community contributions:

# Areas for contribution:
# - Additional training data
# - New protocol implementations
# - Benchmark evaluations
# - Documentation improvements
# - Integration examples

📜 License

This model is released under the NVIDIA Open Model License, inherited from the base model Nemotron-Cascade-8B-Thinking.

• —✅ Commercial use allowed
• —✅ Modification allowed
• —✅ Distribution allowed
• —⚠️ Must include license notice

🙏 Acknowledgments

• —NVIDIA — Nemotron-Cascade-8B-Thinking base model
• —IBM Quantum — Hardware access (ibm_fez, Heron r2)
• —Anthropic Claude — Synthetic dataset generation
• —Qiskit Community — Quantum computing framework

📚 Citation

@misc{kairos2025,
  title={Kairos: Open Source AI Quantum/Classical Cryptography Assistant},
  author={squ11z1},
  year={2025},
  publisher={HuggingFace},
  url={https://huggingface.co/squ11z1/Kairos}
}

<p align="center"> <b> Kairos — Securing the Cryptographic Future </b><br> <i>Open Source • Enterprise-Ready • Quantum-Safe</i> </p>