How to train a Language Model with Megatron-LM
Hugging Face Blog
Megatron-LM is an NVIDIA framework for training large language models on GPUs using optimization techniques like fused CUDA kernels and efficient data loading that are not straightforward to implement manually. Training a 110-million-parameter CodeParrot model on eight GPUs takes approximately 12 hours with this framework. After training, models can be converted to Hugging Face Transformers format for evaluation and deployment, though this adds preprocessing overhead that makes Megatron-LM most suitable for large-scale pretraining rather than medium-sized fine-tuning tasks.
