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Add Lab4AI material in README (#1088)
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README.md

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@@ -47,14 +47,15 @@ Please refer to the [FAQ](https://lightllm-en.readthedocs.io/en/latest/faq.html)
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We welcome any coopoeration and contribution. If there is a project requires LightLLM's support, please contact us via email or create a pull request.
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Projects based on LightLLM or referenced LightLLM components:
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- [LazyLLM](https://github.com/LazyAGI/LazyLLM)
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- [LoongServe, Peking University](https://github.com/LoongServe/LoongServe)
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- [OmniKV, Ant Group](https://github.com/antgroup/OmniKV)
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- [vLLM](https://github.com/vllm-project/vllm) (some LightLLM's kernel used)
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- [SGLang](https://github.com/sgl-project/sglang) (some LightLLM's kernel used)
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- [ParrotServe](https://github.com/microsoft/ParrotServe), Microsoft
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- [Aphrodite](https://github.com/aphrodite-engine/aphrodite-engine) (some LightLLM's kernel used)
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- [S-LoRA](https://github.com/S-LoRA/S-LoRA)
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- [OmniKV, Ant Group](https://github.com/antgroup/OmniKV)
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- [Lab4AI LightLLM+LlamaIndex](https://www.lab4ai.cn/project/detail?utm_source=LLM1&id=b417085ae8cd4dd0bef7161c3d583b15&type=project), [Lab4AI LightLLM+Qwen3-8B](https://www.lab4ai.cn/project/detail?utm_source=lightllmcapp&id=c98ff5d09528423d8dd06f5a063cb2a6&type=project)
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- [LazyLLM](https://github.com/LazyAGI/LazyLLM)
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Also, LightLLM's pure-python design and token-level KC Cache management make it easy to use as the basis for research projects.
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