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Fine-tuningFreeOpen Source
MEGATRON CORE
Distributed training building blocks for large-scale LLM fine-tuning
BSD-3-Clause
ABOUT
Fine-tuning or training billion-parameter transformer models across multiple GPUs is memory-intensive, operationally complex, and easy to scale inefficiently. Megatron Core provides optimized building blocks for tensor, pipeline, context, data, and expert parallelism so teams can run high-throughput distributed LLM training jobs without building large-scale training infrastructure from scratch.
INSTALL
uv pip install megatron-coreINTEGRATION GUIDE
1. Fine-tune Llama-style or GPT-style models across multi-GPU and multi-node clusters
2. Build custom distributed training frameworks using reusable Megatron Core components
3. Train large transformer models with tensor, pipeline, and expert parallelism strategies
4. Run production-grade checkpointing and scaling workflows for large language model development
TAGS
fine-tuningdistributed-trainingllmpytorchmodel-parallelismmulti-gpunvidia