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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.

中文简介正在准备中。当前显示英语简介。

  • Planning multi-GPU training for a LLaMA-style model
  • Distributing MoE model experts across GPUs
  • Tuning training throughput and GPU utilization
davila7/claude-code-templates3.3万2026年10月18日 更新

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.

中文简介正在准备中。当前显示英语简介。

  • Planning distributed training for a LLaMA-style model
  • Distributing MoE expert networks across GPUs
  • Tuning GPU utilization and training throughput
Orchestra-Research/AI-Research-SKILLs1.4万2026年10月11日 更新

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.

中文简介正在准备中。当前显示原文说明。

artubss/SKILLS-CLAUDE-CODE112026年5月17日 更新