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.
Install
npx skills add davila7/claude-code-templates --skill training-llms-megatronnpx skills add davila7/claude-code-templates --skill training-llms-megatron -a claude-code -gnpx skills add davila7/claude-code-templates --skill training-llms-megatron -a codex -ggemini skills install https://github.com/davila7/claude-code-templates.git --path cli-tool/components/skills/ai-research/distributed-training-megatron-coregh skill install davila7/claude-code-templates training-llms-megatrongit clone --depth 1 https://github.com/davila7/claude-code-templates /tmp/davila7__claude-code-templates
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/davila7__claude-code-templates/cli-tool/components/skills/ai-research/distributed-training-megatron-core ~/.claude/skills/training-llms-megatron # Claude Code
cp -R /tmp/davila7__claude-code-templates/cli-tool/components/skills/ai-research/distributed-training-megatron-core ~/.agents/skills/training-llms-megatron # Codex, Cursor, Gemini CLI, Copilot, OpenCode