kermt-add-cmim-pretrain 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-add-cmim-pretrain 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-add-cmim-pretrain@git:20260825.0e67a61Pins git:20260825.0e67a61 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
skills/bionemo-agent-toolkit/skills/kermt-add-cmim-pretrain/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260825.0e67a61, committed Aug 25, 2026
- Size
- 8,259 bytes
- Repository stars
- 503
- License
- a license file GitHub does not identify
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. ## Hardware requirements Same as `kermt-continue-pretrain` (the cMIM decoder adds parameters but not substantially; VRAM headroom should be fine). The upgrade step itself is …
Read the whole file at its exact version.
How to install
mdr add nvidia-bionemo/bionemo-agent-toolkit/kermt-add-cmim-pretrain@sha256:e1d84e99a89d10e3The line at the top of this page pins the label git:20260825.0e67a61, 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_zqmeeqom3azmbgrl)
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Versions
The registry has recorded 1 version of this file, committed on Aug 25, 2026.
Audit of the latest version
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- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (8259 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_zqmeeqom3azmbgrl GET https://markdownregistry.com/api/v1/resolve?ref=nvidia-bionemo/bionemo-agent-toolkit/kermt-add-cmim-pretrain GET https://markdownregistry.com/api/v1/blob/e1d84e99a89d10e3c9b8adc67cc816c3bcdbce71e8a72f37d2dcb8852df8b49f
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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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