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Fine-tuningFreeOpen Source
MEGATRON-LM
Efficient distributed LLM training at scale
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ABOUT
Training foundation models with hundreds of billions of parameters requires coordinating parallelism across hundreds of GPUs. Megatron-LM provides production-proven model, data, tensor, and sequence parallelism techniques that make it practical to train these models efficiently at scale, along with tooling for fine-tuning and inference.
INSTALL
pip install megatron-coreINTEGRATION GUIDE
1. Train large language models with model and tensor parallelism across hundreds of GPUs
2. Fine-tune billion-parameter foundation models using distributed training techniques
3. Deploy large models for inference with optimized tensor parallelism and pipeline parallelism
4. Benchmark and optimize large-model training throughput across GPU clusters
5. Build research prototypes that require scaling from single-node to multi-node setups
TAGS
distributed-trainingllmfine-tuninggpuparallelismnvidialarge-scale