| --- |
| title: Cubic |
| emoji: 🧠 |
| colorFrom: blue |
| colorTo: purple |
| sdk: streamlit |
| app_file: index.html |
| pinned: false |
| --- |
| # Cubic — AI and Cybersecurity Research |
| Building accessible AI systems that run on consumer hardware. Our projects focus on CPU-first training, open-source research, and practical deployment. |
| ## Key Metrics |
| - **27 models** — 1 research paper — 3 team members |
| - **$0.004** min training cost — **100%** open source |
| ## Research Focus |
| - **AI Development** — CPU-first architectures and open-source models |
| - **Cybersecurity** — AI-powered security tools and threat detection |
| ## Projects |
| ### AXL — CPU-First Code Generation |
| - **27 models** from 566K to 318M parameters |
| - **Training cost**: $0.004 per model on consumer CPU |
| - **Architecture**: Multi-scale byte-level transformer |
| - **License**: Apache 2.0 |
| - Click the project card on the org page to see the full AXL detail page |
| ## Team |
| - **Kennedy**: CEO & Head of AI Research |
| - **Jasser**: CTO & Head of Cybersecurity |
| - **Taem**: Head of Marketing/Sales/Technical Assist |
| ## Interactive Tools |
| The org card includes two live calculators, grounded in AXL's real published numbers: |
| - **Memory Usage Estimator** — total estimated RAM from weights (at your chosen quantization) plus KV-cache overhead |
| - **Inference Speed Calculator** — estimated CPU tokens/sec by parameter count and thread count |
| ## Key Features |
| - Dark/Light theme toggle |
| - Two live calculators (memory & inference speed) |
| - Print-friendly CSS |
| - Responsive design |
| ## Links |
| - [GitHub](https://github.com/Cubic-Labs) |
| - [HuggingFace](https://huggingface.co/Cubic) |
| --- |
| *CPU-first, AI for everyone.* |
