LightLLM is a Python-based LLM inference and serving framework focused on lightweight design, scalability, and high-speed performance. It integrates multiple open-source kernels and provides installation and quickstart resources.
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What it is
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.
How it works
The repository description notes integration with multiple open-source kernels and technologies to enable LLM inference and serving, including a combination of documented components such as cross-project kernels and cache mechanisms described in release notes. The latest release adds RL serving with verl, disaggregated ViT serving, a hybrid-cache architecture for linear-attention models, and a multi-level cache system with cache-aware PD.
Getting started
- Get started resources are linked as:
- 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
- TuTorial: https://lightllm-en.readthedocs.io/en/latest/tutorial/deepseek_deployment.html
Recent releases
- v1.2.0 v1.2.0 (2026-08-04): This release introduces RL serving with verl, disaggregated ViT serving, a hybrid-cache architecture for linear-attention models, and a multi-level cache system with cache-aware PD.
- v1.1.0 LightLLM v1.1.0 Release! (2025-09-03): LightLLM v1.1.0, featuring major architectural and optimization upgrades for higher performance and br.
- v1.0.1 v1.0.1 (2025-03-03): Highlights include DeepSeek-R1 Multi-Node H100 Deployment Support, FlashInfer Integration, XGrammer Integration.
- v1.0.0 LightLLM v1.0.0 Release! (2025-02-18): New Features include Cross-Process Request Object and architectural design notes.
Traction
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Behind the repo
No linked startup/company information is provided in the provided facts beyond project descriptions and related projects.
Caveats
License: Apache-2.0 Created: 2023-07-22 Last push: 2026-08-04 Language: Python Open issues: 139 Forks: 347