kermt-finetune SKILL.md skillA
This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.
kermt-finetune from nvidia-bionemo/bionemo-agent-toolkit is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add nvidia-bionemo/bionemo-agent-toolkit/kermt-finetune@git:20260720.4c21e4fPins git:20260720.4c21e4f in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- nvidia-bionemo/bionemo-agent-toolkit
- Path
open-models-skills/kermt/kermt-finetune/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260720.4c21e4f, committed Jul 20, 2026
- Size
- 15,607 bytes
- Repository stars
- 503
- License
- a license file GitHub does not identify
Finetune a pretrained KERMT encoder on a labeled CSV. The skill validates the input checkpoint (must be a pretrain ckpt — grover_base / cmim / hybrid), validates the labeled CSV, prepares the data (clean + features + optional split), then launches main.py finetune inside the kermt container (detached for hours-scale runs). Hyperparameters come from agent/config/defaults_finetune.json with per-flag CLI override.
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. ## Hardware requirements - **GPUs**: 1 by default (single-GPU); pass `--gpus 0` (or whichever id) to select one. For faster training on a multi-GPU host, pass `--num-gpus N` (N>1) to run data-parallel DDP across N GPUs — `--batch-size` is then per-GPU (effective global batch = batch_size × N). - **VRAM**: ≥ 8 GB for the default `batch_size 32` configuration. Lower VRAM works at smaller batch sizes — pass `--batch-size N` to override. - **Disk**: a few GB per run (checkpoint + features + logs). - **Driver / CUDA**: any host supporting CUDA 12.6 (the kermt image base). `kermt-setup` validates this up-front. ## Inputs Required: - `--csv <path>` — labeled CSV. First column is `smiles`; every other column is a target. Checkpoint (optional — defaults to the released model if omitted): - `--ckpt <path>` — input pretrain checkpoint (grover_base / cmim / hybrid). The validator refuses already-finetuned ckpts with a redirect to …
Read the whole file at its exact version.
How to install
mdr add nvidia-bionemo/bionemo-agent-toolkit/kermt-finetune@sha256:4ca427b614e55a50The line at the top of this page pins the label git:20260720.4c21e4f, 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.
[](https://markdownregistry.com/a/art_r23figliynveikfv)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Jul 20, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (15607 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
nvidia-bionemo/bionemo-agent-toolkit · 503 stars · license a license file GitHub does not identify · pushed 2026-11-05 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_r23figliynveikfv GET https://markdownregistry.com/api/v1/resolve?ref=nvidia-bionemo/bionemo-agent-toolkit/kermt-finetune GET https://markdownregistry.com/api/v1/blob/4ca427b614e55a501b80ff7af010b6acac55f2480d9e86abff81d6cca7880519
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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