Train Mixture of Experts (MoE) models using DeepSpeed or HuggingFace. Use when training large-scale models with limited compute (5× cost reduction vs dense models), implementing sparse architectures like Mixtral 8x7B or DeepSeek-V3, or scaling model capacity without proportional compute increase.
Install
npx skills add davila7/claude-code-templates --skill moe-trainingnpx skills add davila7/claude-code-templates --skill moe-training -a claude-code -gnpx skills add davila7/claude-code-templates --skill moe-training -a codex -ggemini skills install https://github.com/davila7/claude-code-templates.git --path cli-tool/components/skills/ai-research/emerging-techniques-moe-traininggh skill install davila7/claude-code-templates moe-traininggit 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/emerging-techniques-moe-training ~/.claude/skills/moe-training # Claude Code
cp -R /tmp/davila7__claude-code-templates/cli-tool/components/skills/ai-research/emerging-techniques-moe-training ~/.agents/skills/moe-training # Codex, Cursor, Gemini CLI, Copilot, OpenCode