| 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 | |
| ## First Release | |
| - Model: https://huggingface.co/ConeML/coneml-348m-alpha-polish900 | |
| - Website: https://coneml.com | |