squ11z1/Kairos

Hugging Face
TEXT GENERATIONConcurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Dec 28, 2025License:nvidia-open-model-licenseArchitecture:Transformer0.0K Open Weights Featherless Exclusive Warm

Kairos by squ11z1 is a specialized AI assistant fine-tuned on NVIDIA's Nemotron-Cascade-8B-Thinking model for quantum and classical cryptography tasks. It provides expert guidance on Quantum Key Distribution (QKD) protocols, cryptographic analysis, and security compliance. This model is designed to assist organizations in preparing for the post-quantum era and meeting regulatory frameworks like NIS2, DORA, and PCI-DSS.

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Overview

Kairos is an open-source AI assistant developed by squ11z1, specifically fine-tuned from NVIDIA's Nemotron-Cascade-8B-Thinking model to address quantum and classical cryptography challenges. It offers expert guidance on Quantum Key Distribution (QKD) protocols, cryptographic protocol analysis, and security compliance, making it suitable for organizations navigating the post-quantum landscape.

Key Capabilities

  • Quantum-Ready Expertise: Deep knowledge of QKD protocols (BB84, E91, B92, MDI-QKD, TF-QKD, CV-QKD).
  • Enterprise Compliance: Designed to assist with regulatory frameworks such as NIS2, DORA, PCI-DSS 4.0, ISO 27001, NIST PQC, and GDPR.
  • Cryptographic Analysis: Supports QBER analysis, attack simulation, IBM Quantum hardware result interpretation, protocol review, and vulnerability searching.
  • Code Generation: Capable of generating Qiskit implementations for quantum protocols.
  • Thinking Mode: Utilizes chain-of-thought reasoning for complex security analysis, activated by the /think command.
  • Production-Ready: Available in multiple quantization formats (BF16, Q8_0, Q4_K_M) for diverse deployment scenarios.

Performance & Specialization

While general benchmarks like LiveCodeBench and MMLU Pro show a reduction compared to the base Nemotron-Cascade-8B, Kairos significantly outperforms base models on its specialized cryptographic tasks. For instance, it achieves 92% accuracy on QKD Protocol Implementation and 96% on QBER Security Assessment. The model was trained using real quantum experimental data from the IBM Heron r2 processor, with future plans to incorporate data from the IBM Nighthawk processor for enhanced accuracy and fidelity.

Good For

  • Organizations seeking to assess cryptographic risks and plan quantum-safe migrations.
  • Developers implementing QKD protocols in Qiskit.
  • Security professionals needing guidance on compliance with NIS2, DORA, PCI-DSS, and NIST PQC.
  • Researchers analyzing quantum experimental data from IBM Quantum hardware.
  • Anyone requiring an AI assistant for defensive security in quantum and classical cryptography.