LightLLM

LightLLM is an inference and serving framework that provides high-speed performance for large language models.

LightLLM is a Python-based LLM inference and serving framework designed for lightweight deployment and scalability. It incorporates elements from implementations such as FasterTransformer, TGI, vLLM, and FlashAttention to optimize performance. The framework supports research and production tasks, featuring capabilities like constrained decoding and request scheduling. It is used in academic works and projects including LoongServe, ParrotServe, and S-LoRA. The repository is released under the Apache-2.0 license.

LightLLM at a glance

Best for: Software engineer
Runs on: self-hosted, open source, CLI
Pricing: Free
Released: July 2023
Category: AI coding tool
Website: github.com/ModelTC/LightLLM

Key features

Python-based inference and serving
Token-level KC Cache management
Prefix KV Cache Transfer between DP rankers
Constrained decoding
Request scheduler
Open-source implementation integration

Use it for

Serving large language models at high speed
Conducting AI and LLM research projects
Running structured LLM generation with constrained decoding

Alternatives to LightLLM

vLLM — Maximizes throughput with PagedAttention and continuous batching.
llm-d — Deploys production-grade LLM serving on existing hardware clusters.
WebLLM — Runs high-performance language models directly inside web browsers.
LMDeploy — Accelerates inference with high-performance engines and quantization tools.
AirLLM — Runs massive 70B+ parameter models on small 4GB consumer GPUs.
MLC LLM — Enables native optimization and deployment of AI models across platforms.
OpenLLM — It simplifies infrastructure management and optimizes inference speed and cost.
LiteLLM — One OpenAI-format API for 100+ LLM providers
LLM CLI — It enables command-line interaction with remote APIs and local machine models.
RubyLLM — It provides a unified API for 17 AI providers with native Ruby and Rails integration.
llmware — Build private, local RAG pipelines with 300+ prepackaged models and integrated document parsing.
OptiLLM — Increases LLM reasoning accuracy by up to 10x without model training.

All LightLLM alternatives