uv-moe-training
CommunityEfficiently train large MoE models.
Software Engineering#model training#sparse models#large language models#deepspeed#moe#mixture of experts
Authoruv-xiao
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the challenge of training massive Mixture of Experts (MoE) models, which are computationally expensive and complex to manage, by providing tools and configurations for efficient training.
Core Features & Use Cases
- MoE Architecture Training: Train models like Mixtral, DeepSeek-V3, and Switch Transformers.
- Compute Efficiency: Achieve significant cost reductions (up to 5x) compared to dense models.
- Scalability: Scale model capacity without a proportional increase in compute.
- Use Case: You need to train a large language model with billions of parameters but have limited GPU resources. This Skill enables you to leverage MoE architectures to achieve state-of-the-art performance within your budget.
Quick Start
Use the uv-moe-training skill to train a Mixtral-style MoE model using DeepSpeed with the provided configuration.
Dependency Matrix
Required Modules
deepspeedtransformerstorchaccelerate
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: uv-moe-training Download link: https://github.com/uv-xiao/pkbllm/archive/main.zip#uv-moe-training Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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