kermt-add-cmim-pretrain
bynvidia-bionemo· 32 skills
Convert a grover_base checkpoint (encoder-only or encoder + vocab heads) into a hybrid checkpoint by adding a randomly-initialized cMIM decoder + latent_dist, then continue pretraining on the user's corpus as hybrid (vocab + contrast). Effectively kermt-continue-pretrain with a one-time ckpt-conversion step prepended.
How to install kermt-add-cmim-pretrain?
nvidia-bionemo/bionemo-agent-toolkit/kermt-add-cmim-pretrain
$npx -y skills add nvidia-bionemo/bionemo-agent-toolkit --skill kermt-add-cmim-pretrainInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/nvidia-bionemo/bionemo-agent-toolkit" --skill "nvidia-bionemo/bionemo-agent-toolkit/kermt-add-cmim-pretrain"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/nvidia-bionemo/bionemo-agent-toolkit" that are relevant to the current task. Run `npx skills add "https://github.com/nvidia-bionemo/bionemo-agent-toolkit"` and select the relevant skills, then follow their instructions.
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