QuantumindSSI/01-quantum-resistant-crypto-analyzer

TEXT GENERATIONPricing:Input $0.04 / Cached $0.008 / Output $0.08Concurrent Unit Cost:1Model Size:0.5BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Jul 16, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The QuantumindSSI/01-quantum-resistant-crypto-analyzer is a fine-tuned Small Language Model (SLM) developed by QuantumIndSSI Ltd, based on Qwen/Qwen2-0.5B-Instruct. This transformer decoder model is specifically designed to analyze cryptographic protocol implementations for quantum vulnerabilities, attack vectors, and NIST-aligned mitigations. It excels at identifying Shor-vulnerable and Grover-amplified patterns, making it ideal for automated security auditing and PQC migration planning.

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Overview

The QuantumindSSI/01-quantum-resistant-crypto-analyzer is a specialized Small Language Model (SLM) developed by QuantumIndSSI Ltd. It is built upon the Qwen/Qwen2-0.5B-Instruct base model, utilizing a transformer decoder architecture and fine-tuned with LoRA (Low-Rank Adaptation) for specific cryptographic analysis tasks. The model's primary function is to identify quantum-vulnerable patterns and attack vectors within cryptographic protocol implementations.

Key Capabilities

  • Automated Vulnerability Scanning: Analyzes protocols like TLS, SSH, IPsec, and more for quantum-related weaknesses.
  • Quantum Attack Vector Recognition: Detects vulnerabilities susceptible to Shor factoring, Grover search, quantum collision finding, and HNDL attacks.
  • Mitigation Recommendations: Provides NIST-aligned recommendations for identified quantum vulnerabilities.
  • Edge Deployment: Designed for efficient deployment on constrained hardware, including Victron devices, with low memory requirements.
  • Training Data: Trained on over 10,500 synthetic cryptographic protocol analyses covering various protocols and vulnerability types.

Good For

  • Security Audits: Assisting organizations in assessing the quantum resilience of their existing cryptographic infrastructure.
  • PQC Migration Planning: Aiding in the transition from classical to Post-Quantum Cryptography (PQC) by identifying critical areas for mitigation.
  • Developer Education: Helping developers understand and mitigate quantum cryptanalysis risks in their implementations.
  • Resource-Constrained Environments: Performing analyses on edge devices due to its optimized architecture and hardware requirements.

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