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.
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Install
armory install training-llms-megatron --cli claudewrites the skill into.claude/skills/training-llms-megatron/SKILL.mdListed as compatible
# fetches the source and writes it to:
.claude/skills/training-llms-megatron/SKILL.mdNeeds the armory CLI · not on npm yet, build it from cli/ in the repository
What it is
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.
When to use it
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.
How to install / invoke
# Copy the skill into your .claude/skills/ directory
curl -sL https://raw.githubusercontent.com/davila7/claude-code-templates/main/cli-tool/components/skills/ai-research/distributed-training-megatron-core/SKILL.md -o .claude/skills/distributed-training-megatron-core/SKILL.md
Notes
Extracted from davila7/claude-code-templates, distributed-training-megatron-core category.