Shypd.aiThe largest open index of AI toolsEasyLM is an Open Source & Models tool that simplifies large language model (LLM) development. It provides a one-stop solution for pre-training, fine-tuning, evaluating, and serving LLMs in JAX/Flax, scaling to hundreds of TPU/GPU accelerators.
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EasyLM is a comprehensive open-source framework designed to streamline the development and deployment of large language models (LLMs). Built on JAX/Flax, it offers a unified solution for pre-training, fine-tuning, evaluating, and serving LLMs. A key differentiator is its ability to scale LLM training across hundreds of TPU/GPU accelerators by leveraging JAX's pjit functionality, enabling the training of models that exceed the capacity of a single accelerator. The framework supports multi-host training on Google Cloud TPU Pods and integrates with Hugging Face's transformers and datasets, providing an easy-to-use and customizable codebase. EasyLM currently supports popular models like LLaMA, LLaMA 2, and LLaMA 3, and has been used to train models such as OpenLLaMA and Koala.
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