nhonhoccode/qwen3-0-6b-cybersecqa-fullft-20251125-0541

Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:0.8BQuant:BF16Ctx Length:32kPublished:Nov 25, 2025License:apache-2.0Architecture:Transformer Open Weights Warm

nhonhoccode/qwen3-0-6b-cybersecqa-fullft-20251125-0541 is a Qwen3-0.6B model, fine-tuned by nhonhoccode, specifically for cybersecurity Q&A tasks. This 0.6 billion parameter model leverages a fixed system prompt to specialize in providing helpful responses to cybersecurity queries. It is optimized for domain-specific question answering within the cybersecurity field, making it suitable for applications requiring focused knowledge in this area.

Loading preview...

Model Overview

This model, nhonhoccode/qwen3-0-6b-cybersecqa-fullft-20251125-0541, is a Qwen3-0.6B base model fine-tuned by nhonhoccode using the FULL method. It is specifically designed and optimized for cybersecurity question and answer (Q&A) tasks.

Key Capabilities

  • Specialized Cybersecurity Q&A: Fine-tuned on the zobayer0x01/cybersecurity-qa dataset, comprising over 42,000 samples, to provide domain-specific answers.
  • Compact Size: Built upon a 0.6 billion parameter base model, making it relatively efficient for deployment.
  • Fixed System Prompt: Utilizes a consistent system prompt ("You are a helpful assistant specialized in cybersecurity Q&A.") to maintain focus and context in responses.

Performance Metrics

During evaluation, the model achieved notable scores for its size, including:

  • BLEU-4: 1.13
  • ROUGE-L: 13.25
  • BERTScore F1: 82.52
  • Perplexity: 15.15

Intended Use & Limitations

This model is intended for cybersecurity Q&A. Users should be aware that:

  • It is not guaranteed to be accurate for legal or medical purposes.
  • The model can hallucinate or produce outdated guidance; verification is crucial before production use.
  • It lacks explicit content filtering, requiring additional guardrails (e.g., moderation, retrieval augmentation) for safe deployment.

Good for

  • Applications requiring a compact model for cybersecurity-specific question answering.
  • Developers looking for a base to further fine-tune on niche cybersecurity datasets.
  • Educational tools or internal knowledge bases focused on cybersecurity topics.