nemo-mbridge-mlm-bridge-training SKILL.md skillA
nemo-mbridge-mlm-bridge-training from nvidia/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add nvidia/skills/nemo-mbridge-mlm-bridge-training@git:20260716.da6c7d5Pins git:20260716.da6c7d5 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- nvidia/skills
- Path
skills/nemo-mbridge-mlm-bridge-training/SKILL.md- Versions recorded
- 3
- Latest version
- git:20260716.da6c7d5, committed Jul 16, 2026
- First version recorded
- May 29, 2026
- Size
- 6,296 bytes
- Repository stars
- 3,871
- License
- Apache-2.0
Run Megatron-LM (MLM) and Megatron Bridge training with mock or real data. Covers correlation testing, available recipes, and multi-GPU examples.
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
# MLM vs Bridge Training For how they differ, the arg mapping tables, gotchas, and translation script, see: - @docs/megatron-lm-to-megatron-bridge.md ## First Answer Checklist For MLM-vs-Bridge correlation questions, always name these items up front: 1. Bridge recipe: `vanilla_gpt_pretrain_config`. 2. Bridge entry point: `scripts/training/run_recipe.py`. 3. MLM entry point: `3rdparty/Megatron-LM/pretrain_gpt.py`. 4. Launch wrapper for both: `uv run python -m torch.distributed.run`. 5. Fresh-run cleanup: `rm -rf nemo_experiments` before the Bridge run. Also state that MLM needs `PYTHONPATH=3rdparty/Megatron-LM:$PYTHONPATH`, matched Bridge and MLM losses should agree within BF16 rounding, and files under `3rdparty/Megatron-LM/` should not be modified from this repo. ## Correlation Testing Use `vanilla_gpt_pretrain_config` for loss-correlation testing. This recipe uses bare `GPTModelProvider` defaults (LayerNorm, GeLU, learned_absolute position embeddings, `vocab_size` inherited from tokenizer) — matching MLM `pretrain_gpt.py` defaults with no args. ### MLM Correlation Run (2L/256H, 1 GPU) ```bash PYTHONPATH=3rdparty/Megatron-LM:$PYTHONPATH \ …
Read the whole file at its exact version.
How to install
mdr add nvidia/skills/nemo-mbridge-mlm-bridge-training@sha256:7eae976eb49a73e8The line at the top of this page pins the label git:20260716.da6c7d5, 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_25bz7piuv2cdtb4o)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between May 29, 2026 and Jul 16, 2026, about one every 24 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260716.da6c7d5 latest | 2026-07-16 | da6c7d5 | 6,296 B | A | view · diff |
| git:20260602.e695a83 | 2026-06-02 | e695a83 | 6,291 B | A | view · diff |
| git:20260529.7d99fda | 2026-05-29 | 7d99fda | 5,662 B | A | view |
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 (6296 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/skills · 3,871 stars · license Apache-2.0 · pushed 2026-11-05 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_25bz7piuv2cdtb4o GET https://markdownregistry.com/api/v1/resolve?ref=nvidia/skills/nemo-mbridge-mlm-bridge-training GET https://markdownregistry.com/api/v1/blob/7eae976eb49a73e87d1e77a5295c3a79e4f1fac7a70dd0643cbffc5d4d3801c1
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.