kermt-add-cmim-pretrain

by NVIDIA3.6k

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Install

The skill file stays in the publisher's repository.

Paste the copied command in a terminal. It installs this SKILL.md into that agent.

npx skills add NVIDIA/skills --skill bionemo-kermt-add-cmim-pretrain -a cursor -y

Download skill skills/bionemo-kermt-add-cmim-pretrain/SKILL.md on GitHub

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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.

Questions

How do I install kermt-add-cmim-pretrain?: Download skills/bionemo-kermt-add-cmim-pretrain/SKILL.md from the publisher, or copy the path and open the repository. PlugMCP lists the skill and does not host the file.
Where does kermt-add-cmim-pretrain live?: The publisher keeps it at https://github.com/NVIDIA/skills.
Which agents can use kermt-add-cmim-pretrain?: Claude, Cursor, and Codex can read a SKILL.md you add from the publisher's repository.

name: kermt-add-cmim-pretrain description: 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. license: Apache-2.0 compatibility: Requires docker, nvidia-container-toolkit, and a CUDA-capable NVIDIA GPU. Designed for Claude Code, Codex, and Nemotron. metadata: owner: classification: workflow-skill risk_tier: skill

"$SKILL_DIR/scripts/kermt_container.sh" run --data <user-csv> --run-dir $RUN_DIR -- \ "python /skill/scripts/prepare_data.py --mode pretrain \\ --csv /data/<basename> --out /runs/data \\ [--val-csv /data/<val-basename>] [--val-frac 0.1] [--seed 0]"

"$SKILL_DIR/scripts/kermt_container.sh" run --ckpt <user-ckpt> --run-dir $RUN_DIR -- \ "python /skill/scripts/upgrade_to_hybrid.py \\ --ckpt /ckpt \\ --prepare-manifest /runs/data/prepare_data.json \\ --out /runs/upgraded.pt"

"$SKILL_DIR/scripts/kermt_container.sh" run_detached \\ --name kermt-add-cmim-pretrain-<ts> \\ --run-dir $RUN_DIR -- \\ "python /skill/scripts/run_pretrain_local.py \\ --ckpt /runs/upgraded.pt \\ --prepare-manifest /runs/data/prepare_data.json \\ --out /runs \\ [--epochs N --batch-size N ...]"

kermt-add-cmim-pretrain

Install

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Questions

Line/token budget: ~165 lines, ~1900 tokens — well within the

500-line / 5000-token cap for skill files.