Individual skill

moe-training

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. Covers MoE architectures, routing mechanisms, load balancing, expert parallelism, and inference optimization.

tests/ext_conformance/artifacts/templates-davila7/cli-tool/components/skills/ai-research/emerging-techniques-moe-training/SKILL.md

Source commit 70110103476bad94b3d700f50909d08842df50cc

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Yes

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No

Observed behavior

Network or broad shell

Last checked

Nov 3, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

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