Individual skill
training-llms-megatron
Trains large language models (2B-462B parameters) using NVIDIA Megatron-Core with advanced parallelism strategies. Use when training models >1B parameters, need maximum GPU efficiency (47% MFU on H100), or require tensor/pipeline/sequence/context/expert parallelism. Production-ready framework used for Nemotron, LLaMA, DeepSeek.
skills/distributed-training/megatron-core/SKILL.md
Source commit df6b3b3a11399c1258dbcd4ae3c1d3086b30cf2f
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 3, 2026
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Repository context
- Repository stars (not skill ratings)
- 1,200
- Repository last updated
- Nov 6, 2026
- License
- NOASSERTION
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- ai-agents Repository topic
- ai-scientist Repository topic
- auto-research Repository topic
- claude-code Repository topic
- claude-science-desktop-alternative Repository topic
- claude-science-free Repository topic
- literature-review Repository topic
- paper-writing Repository topic
- research-assistant Repository topic
- megatron-core Declared skill tag
- large-scale-training Declared skill tag
- nvidia Declared skill tag
- tensor-parallelism Declared skill tag
- pipeline-parallelism Declared skill tag
- model-parallelism Declared skill tag
- h100 Declared skill tag
- distributed-training Declared skill tag
- production Declared skill tag
- engineering Derived category
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Browse files
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