SGLang is a high-performance serving framework for large language models and multimodal models.
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Achieve state of the art inference performance with modern accelerators on Kubernetes
A compact implementation of SGLang, designed to demystify the complexities of modern LLM serving systems.
An Open-source Toolkit for LLM Development
GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
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A framework for few-shot evaluation of language models.
