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A compact implementation of SGLang, designed to demystify the complexities of modern LLM serving systems.
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Latest capture 2026-07-16 03:05
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Scanned 2026-07-16 03:05
pyproject.toml
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SGLang is a high-performance serving framework for large language models and multimodal models.
Efficent platform for inference and serving local LLMs including an OpenAI compatible API server.
A framework for few-shot evaluation of language models.
LLM inference in C/C++
Qwen3.6 is the large language model series developed by Qwen team, Alibaba Group.
llama.cpp fork with additional SOTA quants and improved performance
