OpenMythos is a cybersecurity-focused LLM
It's trained specifically on:
- ArXiv cs.CR (Cryptography & Security) research papers
- Real CVE vulnerability data with detailed descriptions

What did we build?

- Full SFT + RLVR training pipeline on H100 GPUs (via Modal)
- Custom datasets: filtered ArXiv papers + CVE vulnerability data
- Deployed on Hugging Face Spaces

What was challenging?

- Scraping and filtering high-quality dataset
- Getting RLVR to actually improve security reasoning.
- Running stable distributed training on Modal with DeepSpeed
- Making the model actually useful for real vuln analysis, not just theory

What are we proud of?

- Model genuinely understands CVEs and can reason about attack surfaces
- Clean SFT → RLVR pipeline that others can replicate
- 9,000+ users in the first week with zero marketing budget
- Benchmark results on CyberGym and cybench

How to test it?

Hugging Face Space: https://huggingface.co/spaces/build-small-hackathon/OpenMythos

Try prompts like:
- "Analyze this code for security vulnerabilities: [paste your code]"
- "Review this API endpoint for security issues: [paste code]"

It works best for:
✅ Code security review
✅ CVE explanation & mitigation
✅ Attack surface analysis
✅ Security research questions