xllm
The library supports a range of techniques like QLoRA, DeepSpeed, and Gradient Checkpointing to enhance the efficiency of Large Language Model training. It offers features such as checkpoint integration with the HuggingFace Hub and training progress tracking with W&B, allowing for customizable configurations that meet various training requirements. The library accommodates a wide range of models and integrates seamlessly with existing projects, facilitating both rapid prototyping and production-level deployments.
