Individual skill

kermt-continue-pretrain

Continue KERMT pretraining on a custom SMILES corpus with a grover_base, cmim, or hybrid checkpoint. Use a local checkpoint or optionally download a pinned Hugging Face model bundle using HF_TOKEN if configured. Run containerized training and write model bundles, prepared data, logs, and checkpoints to user-selected host directories.

skills/bionemo-kermt-continue-pretrain/SKILL.md

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# kermt-continue-pretrain

Continue pretraining from a user-supplied KERMT checkpoint (grover_base /
cmim / hybrid). The skill is the workflow orchestrator: it validates inputs,
prepares the corpus, launches the runner, and returns a run directory.

## Skill and runtime paths

Set `SKILL_DIR` to the absolute path of this installed skill directory. Export
`KERMT_REPO` as the absolute path to the KERMT checkout used for model
execution. The bundled container helper mounts that checkout at
`/workspace` and this skill at `/skill` (read-only). Commands inside
the container use `/skill/scripts/`; defaults are bundled in `config/`.
See [Released models](references/released-models.md) for checkpoint bundle requirements.