Shypd.aiThe largest open index of AI toolsSLAM-LLM is an AI Frameworks & Infra tool that provides a deep learning toolkit for training custom multimodal large language models (MLLMs). It focuses on speech, language, audio, and music processing, offering detailed recipes and high-performance checkpoints.
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SLAM-LLM is a comprehensive deep learning toolkit designed for researchers and developers to train custom multimodal large language models (MLLMs). It specializes in processing speech, language, audio, and music, offering detailed recipes for training and high-performance checkpoints for inference. The framework supports multi-task training, dynamic prompt selection, and iterative datasets for large-scale industrial applications, including datasets on the order of 100,000 hours. Key features include DeepSpeed training for reduced memory usage, multi-machine multi-GPU inference, and dynamic frame batching to significantly reduce training and evaluation times. It also provides flexible configuration options based on Hydra and dataclass, allowing for a combination of code, command-line, and file-based configurations.
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