base on LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance. <div align="center"> <picture> <img alt="LightLLM" src="assets/lightllm.drawio.png" width=90%> </picture> </div> --- <div align="center"> [](https://lightllm-en.readthedocs.io/en/latest/) [](https://github.com/ModelTC/lightllm/actions/workflows/docker-publish.yml) [](https://github.com/ModelTC/lightllm)  [](https://discord.gg/WzzfwVSguU) [](https://github.com/ModelTC/lightllm/blob/main/LICENSE) </div> LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance. LightLLM harnesses the strengths of numerous well-regarded open-source implementations, including but not limited to FasterTransformer, TGI, vLLM, and FlashAttention. [English Docs](https://lightllm-en.readthedocs.io/en/latest/) | [中文文档](https://lightllm-cn.readthedocs.io/en/latest/) | [Blogs](https://modeltc.github.io/lightllm-blog/) ## News - [2025/02] 🔥 LightLLM v1.0.0 release, achieving the **fastest DeepSeek-R1** serving performance on single H200 machine. ## Get started - [Install LightLLM](https://lightllm-en.readthedocs.io/en/latest/getting_started/installation.html) - [Quick Start](https://lightllm-en.readthedocs.io/en/latest/getting_started/quickstart.html) - [LLM Service](https://lightllm-en.readthedocs.io/en/latest/models/test.html#llama) - [VLM Service](https://lightllm-en.readthedocs.io/en/latest/models/test.html#llava) ## Performance Learn more in the release blogs: [v1.0.0 blog](https://www.light-ai.top/lightllm-blog//by%20mtc%20team/2025/02/16/lightllm/). ## FAQ Please refer to the [FAQ](https://lightllm-en.readthedocs.io/en/latest/faq.html) for more information. ## Projects using lightllm 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. 1. <details><summary> <b><a href=https://github.com/LazyAGI/LazyLLM>LazyLLM</a></b>: Easyest and lazyest way for building multi-agent LLMs applications.</summary> Once you have installed `lightllm` and `lazyllm`, and then you can use the following code to build your own chatbot: ~~~python from lazyllm import TrainableModule, deploy, WebModule # Model will be download automatically if you have an internet connection m = TrainableModule('internlm2-chat-7b').deploy_method(deploy.lightllm) WebModule(m).start().wait() ~~~ Documents: https://lazyllm.readthedocs.io/ </details> ## Community For further information and discussion, [join our discord server](https://discord.gg/WzzfwVSguU). Welcome to be a member and look forward to your contribution! ## License This repository is released under the [Apache-2.0](LICENSE) license. ## Acknowledgement We learned a lot from the following projects when developing LightLLM. - [Faster Transformer](https://github.com/NVIDIA/FasterTransformer) - [Text Generation Inference](https://github.com/huggingface/text-generation-inference) - [vLLM](https://github.com/vllm-project/vllm) - [SGLang](https://github.com/sgl-project/sglang) - [flashinfer](https://github.com/flashinfer-ai/flashinfer/tree/main) - [Flash Attention 1&2](https://github.com/Dao-AILab/flash-attention) - [OpenAI Triton](https://github.com/openai/triton) ", Assign "at most 3 tags" to the expected json: {"id":"6418","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"