Configure large language model training with NVIDIA Megatron-Core across multiple GPUs. This skill helps choose how to split computation, set training parameters, monitor GPU efficiency, and address memory limits or unstable training.
- Planning multi-GPU training for a LLaMA-style model
- Distributing MoE model experts across GPUs
- Tuning training throughput and GPU utilization
davila7/claude-code-templates☆ 32.7KUpdated Oct 18, 2026
Configure large language model training across multiple NVIDIA GPUs with Megatron-Core. The skill helps choose how to split models and workloads, set training parameters, monitor performance, and address memory shortages or low GPU utilization.
- Planning distributed training for a LLaMA-style model
- Distributing MoE expert networks across GPUs
- Tuning GPU utilization and training throughput
Orchestra-Research/AI-Research-SKILLs☆ 13.7KUpdated Oct 11, 2026
Treina modelos de linguagem grandes (2B-462B de parâmetros) usando NVIDIA Megatron-Core com estratégias avançadas de paralelismo. Use ao treinar modelos >1B de parâmetros, precisar de máxima eficiência de GPU (47% MFU em H100), ou necessitar de paralelismo tensor/pipeline/sequência/contexto/expert. Framework pronto para produção usado em Nemotron, LLaMA, DeepSeek.
The English summary is being prepared. Showing the original description.
artubss/SKILLS-CLAUDE-CODE☆ 11Updated May 17, 2026