metadata
sdk: static
ConeML
ConeML is a small-model research project focused on scratch training, curriculum geometry, and activation tuning.
The first public artifact is a 348M-parameter alpha model trained from scratch with a layered cone curriculum and staged SFT activation. The release documents what changed across stages, what activated in chat format, and what remains unresolved.
Current Focus
- Scratch-trained small language models
- Layered curriculum design
- Format activation and SFT staging
- Transparent internal probe reporting
- Reproducible model release artifacts