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Sequence packing in Megatron Bridge v1.0.0
Use this resource to enable and validate sequence packing for SFT and VLM training
New
- 444 downloads
- 236 likes
- 217 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install sequence-packing-long-contextWith no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.
First time: connect the CLI with
npx --yes palatekit@latest loginThe agent picks the offline pack length, configures the dataset and model under the CP and TP divisibility rules, then flags pitfalls and checks. You get a packing configuration and its checks.
Mostly picked by
Updated November 2, 2026
Previews
Details
- Install guides
- Generates with
- Your agent's model
- Licence
- Apache-2.0
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What you get
- SKILL.md: method and configuration examples
- card.yaml: structured card
- evals/evals.json: evaluation cases
Good fit for
- Your SFT sequences are short and the GPU is underused
- You train with long context and must respect CP rules
Not for
Tags
- packing
- sequences
- SFT
- Megatron Bridge
About
You say
“Enable offline packing for my SFT dataset with 8192-token sequences.”
Skill published by nvidia under the Apache-2.0 license, delivered in its original version.
Show moreShow less
How to use it
- Install the skill in your agent's skills folder
- Ask your agent to enable and validate sequence packing for SFT and VLM training
- Review and adjust the result
Content preview
Files
- BENCHMARK.md4.9 KB
- card.yaml7.4 KB
- evals/evals.json2.5 KB
- LICENSE11.3 KB
- NOTICE-PALATEKIT.md0.5 KB
- skill-card.md4.1 KB
- SKILL.md13.3 KB
- skill.oms.sig4.7 KB
Origin and licence
Listed unmodified
- Author
- nvidia
- Source
- github.com/nvidia/skills/tree/ca116d60beafe1b4459f0ab790b7b450912c56b0/skills/nemo-mbridge-perf-sequence-packing
- Licence
- Apache-2.0
Notice
« nemo-mbridge-perf-sequence-packing » (nvidia, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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