Resources

Tools, documentation, and links for local AI development and experimentation.

Local AI Tools

Ecosystem tools for running, managing, and interacting with local models.

Model Resources

Where to find models, weights, and documentation on formats.

Disclaimer: Model availability, licensing, and compatibility vary. Review documentation before downloading and using any model.

Developer Resources

Technical documentation and research papers for developers building local AI tools.

Research Interests

Core focus areas for advancing local inference capabilities.

CPU inference efficiency Low-end GPU inference Quantization Token generation speed Memory usage Context-window efficiency Power consumption Model loading time Portable AI deployments Offline-first software design

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