@davila7/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.
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No demos yet. To add one, ask your AI agent: "Submit a demo for @davila7/moe-training" — or upload via the API.
To add a demo, ask your AI agent: "Submit a demo for @davila7/moe-training"
No eval data yet. Eval results are published via the SkillSafe API.