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SGLang is yet another fast serving framework for large language models and vision language models.
A high-throughput and memory-efficient inference and serving engine for LLMs
Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.
Minimal library to train LLMs on TPU in JAX with pjit().
Supercharge huggingface transformers with model parallelism.
DSPy: The framework for programming—not prompting—foundation models
Legible, Scalable, Reproducible Foundation Models with Named Tensors and Jax
Scalable neural net training via automatic normalization in the modular norm.