kermt-finetune SKILL.md skillA

kermt-finetune 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-finetune@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-finetune/SKILL.md
Versions recorded
1
Latest version
git:20260915.2cd3507, committed Sep 15, 2026
Size
16,475 bytes
Repository stars
3,871
License
Apache-2.0

Finetune a pretrained KERMT encoder on a labeled CSV. Validate the checkpoint and data, prepare features, and run containerized training. Use a local checkpoint or optionally download a pinned Hugging Face model bundle using HF_TOKEN if configured. Write model bundles, prepared data, logs, and trained models to user-selected host directories.

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-finetune

Finetune a pretrained KERMT encoder on a user-supplied labeled CSV. The skill
is the workflow orchestrator: validate ckpt, validate data, prepare data,
launch the runner detached, return a run directory + container name.

## 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.

## Downloads and local outputs

The optional released-model branch reads `config/released_model.json` for the
Hugging Face repository, pinned revision, and filenames. The bundled
`scripts/fetch_released_model.py` downloads the model bundle over HTTPS into
the host directory the user selects. Public models work without credentials;
if `HF_TOKEN` is set, the container helper forwards it for Hugging Face
authentication. Prepared data, logs, and workflow results go into the chosen
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add nvidia/skills/kermt-finetune@sha256:bf157bd453528a9c

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_bkj5mdkywen76ess.svg)](https://markdownregistry.com/a/art_bkj5mdkywen76ess)

3 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 16,475 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 (16475 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_bkj5mdkywen76ess
GET https://markdownregistry.com/api/v1/resolve?ref=nvidia/skills/kermt-finetune
GET https://markdownregistry.com/api/v1/blob/bf157bd453528a9c2d272d537fe3fc103a9de83f907f9071e8c35a770c5582fc

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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Every file in nvidia/skills

Other files named kermt-finetune

kermt-finetune SKILL.md skill
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