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Commits, branches and sync with the but CLI
- 361361 downloads
- 198198 likes
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Configuring NeMo AutoModel launches v1.0.0
Use this resource to configure a NeMo AutoModel launch locally, on Slurm or on SkyPilot
New
- 357 downloads
- 138 likes
- 195 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install automodel-launch-configurationWith 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 answers from the skill without browsing the repository unless you ask for edits, and gives the relevant YAML (slurm block, required fields, SkyPilot example). It explains the expected runtime behavior. You get a launch configuration ready to copy.
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: launch modes and key fields
- evals/evals.json: evaluation cases
- skill-card.md: skill card
Good fit for
- You move from a single-machine test to a multi-node Slurm job
- You want to run an AutoModel training on cloud GPUs through SkyPilot
Not for
Tags
- launch
- Slurm
- SkyPilot
- YAML
About
You say
“Write the Slurm YAML for an AutoModel training run on 2 nodes of 8 GPUs.”
Skill published by nvidia under the Apache-2.0 license, delivered in its original version.
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How to use it
- Install the skill in your agent's skills folder
- Ask your agent to configure a NeMo AutoModel launch locally, on Slurm or on SkyPilot
- Review and adjust the result
Content preview
Files
- BENCHMARK.md4.1 KB
- evals/evals.json3.5 KB
- LICENSE11.3 KB
- NOTICE-PALATEKIT.md0.5 KB
- skill-card.md3.7 KB
- SKILL.md8.8 KB
- skill.oms.sig4.5 KB
Origin and licence
Listed unmodified
- Author
- nvidia
- Source
- github.com/nvidia/skills/tree/ca116d60beafe1b4459f0ab790b7b450912c56b0/skills/nemo-automodel-launcher-config
- Licence
- Apache-2.0
Notice
« nemo-automodel-launcher-config » (nvidia, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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