Parameter Golf - 16MB Language Model Challenge
⭐ Advanced
Project Overview
Contributed to the Parameter Golf challenge focused on training highly efficient language models that fit within a strict 16MB model size budget.
Key Work
- Built and tested lightweight training configurations for compact transformer-style architectures.
- Explored trade-offs between model size, context window, and validation loss.
- Improved reproducibility by documenting hyperparameter choices and run comparisons.
Skills Demonstrated
- Efficient ML experimentation
- Resource-constrained model design
- Open-source collaboration and benchmarking