kermt-add-cmim-pretrain SKILL.md skillA

kermt-add-cmim-pretrain from nvidia/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add nvidia/skills/kermt-add-cmim-pretrain@git:20260915.2cd3507

Pins git:20260915.2cd3507 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
nvidia/skills
Path
skills/bionemo-kermt-add-cmim-pretrain/SKILL.md
Versions recorded
1
Latest version
git:20260915.2cd3507, committed Sep 15, 2026
Size
8,631 bytes
Repository stars
3,871
License
Apache-2.0

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.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# kermt-add-cmim-pretrain

Convert a grover_base checkpoint (legacy original-GROVER `grover.encoders.*`
or modern `kermt.encoders.*`, with or without vocab heads) into a fully-formed
hybrid (cMIM + vocab) checkpoint, then continue pretraining on the user's
corpus as hybrid.

This is a thin wrapper: `upgrade_to_hybrid.py` produces a new ckpt that
classifies as `model_type: hybrid` via `check_checkpoint.py`, and the rest of
the workflow is identical to `kermt-continue-pretrain`.

> **Status: experimental.** This workflow is functional end-to-end but has not
> been benchmarked against the manuscript's from-scratch hybrid training (which
> produces the released checkpoint). Use as an experimental alternative to
> `kermt-pretrain-scratch` when you want to extend an existing grover_base
> checkpoint rather than restart from random init. Validate downstream
> performance on your own benchmark before relying on the upgraded ckpt for
> production work.

## 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
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add nvidia/skills/kermt-add-cmim-pretrain@sha256:eed773f29585c8b8

The line at the top of this page pins the label git:20260915.2cd3507, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_vtwob2owsw6jqjxh.svg)](https://markdownregistry.com/a/art_vtwob2owsw6jqjxh)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Sep 15, 2026.

versioncommittedcommitsizeaudit
git:20260915.2cd3507 latest2026-09-15 2cd3507 8,631 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (8631 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

nvidia/skills · 3,871 stars · license Apache-2.0 · pushed 2026-11-05 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_vtwob2owsw6jqjxh
GET https://markdownregistry.com/api/v1/resolve?ref=nvidia/skills/kermt-add-cmim-pretrain
GET https://markdownregistry.com/api/v1/blob/eed773f29585c8b8ad9386831dcce9659d864c4c690320d812d4324e51fab6e2

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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