# ModelTC/LightLLM

LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.

Repository: https://github.com/ModelTC/LightLLM
Canonical: https://ross.abutalabs.com/products/lightllm
Language: Python
License: Apache-2.0
License Family: permissive
Topics: deep-learning, gpt, llama, llm, model-serving, nlp, openai-triton
Last push: 2026-08-26T16:00:04+00:00

## Health v2 (maintenance only)
Score: 84/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 65, longevity 81
- inputs: {"age_days": 1138, "days_push": 7, "days_rel": 23, "gap_med": 183, "n_releases_24m": 4}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4243, forks 356 (observed 2026-08-28T04:08:40.324754+00:00)

## What it is
LightLLM is a Python-based LLM inference and serving framework designed for lightweight deployment, easy scalability, and high throughput. It provides an OpenAI-compatible API server for serving models like LLaMA and DeepSeek, leveraging techniques from FasterTransformer, TGI, vLLM, and FlashAttention.

## Use cases
- serve an LLM behind an OpenAI-compatible API
- deploy DeepSeek-R1 on a single GPU machine with maximum throughput
- self-host a lightweight alternative to vLLM or TGI
- run LLM inference with high concurrency and low latency
- serve LLaMA-family models in production
- benchmark LLM serving performance on NVIDIA GPUs

## When to choose
- you need a lightweight, high-performance LLM serving server on NVIDIA GPUs
- you want an OpenAI-compatible endpoint for self-hosted models
- you need fast DeepSeek or LLaMA serving with advanced scheduling and KV cache features

## When to avoid
- you need CPU-only or non-NVIDIA hardware inference
- you want a full training or fine-tuning framework rather than inference serving
- you need broad multi-modal model support beyond text LLMs

## Facets
- artifact type: service
- maturity: active
- function: llm-inference, http-server, api-framework, gpu-computing
- domain: large-language-models, artificial-intelligence, deep-learning, developer-tools
- platform: python, self-hosted
- tags: llm-serving, openai-compatible-api, inference-server, vllm-alternative, flashattention, triton, model-deployment, high-performance, natural-language-processing, linux, gpu, docker

## Member repositories
- ModelTC/LightLLM (main) score 84

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:40.324754+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:22:13.864007+00:00, confidence not recorded.
  - readme: https://github.com/ModelTC/LightLLM (fetched 2026-08-28T04:08:40.324754+00:00, sha 358beb07075c)
- Data as of 2026-08-30T08:39:29.467469+00:00.