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Commits, branches and sync with the but CLI
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Works with
- Claude Code
- Codex
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- and 3 more
Long-context MoE training in Bridge v1.0.0
Use this resource to size a long-context MoE training run in Megatron Bridge
New
- 518 downloads
- 245 likes
- 146 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install long-context-moe-training-patternsWith 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 explains what changes well beyond 4K tokens (attention memory, activations), gives context-parallel sizing rules and configuration families from DSV3, Qwen3 and Qwen3-Next experiments, then recompute and CUDA graph settings. You get a starting point to validate.
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: principles and sizing rules
- card.yaml: structured card
- evals/evals.json: evaluation cases
Good fit for
- You move a MoE from 4K to 128K tokens
- You want a starting point for DSV3 or Qwen3 at long context
Not for
Tags
- long context
- MoE
- context parallelism
- recompute
About
You say
“Size a DSV3 training run at 128K tokens on H100 with context parallelism.”
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 size a long-context MoE training run in Megatron Bridge
- Review and adjust the result
Content preview
Files
- BENCHMARK.md4.3 KB
- card.yaml3.6 KB
- evals/evals.json1.6 KB
- LICENSE11.3 KB
- NOTICE-PALATEKIT.md0.5 KB
- skill-card.md3.9 KB
- SKILL.md5 KB
- skill.oms.sig4.7 KB
Origin and licence
Listed unmodified
- Author
- nvidia
- Source
- github.com/nvidia/skills/tree/ca116d60beafe1b4459f0ab790b7b450912c56b0/skills/nemo-mbridge-perf-moe-long-context
- Licence
- Apache-2.0
Notice
« nemo-mbridge-perf-moe-long-context » (nvidia, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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