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vllm-omni

A framework for efficient model inference with omni-modality models

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.

Popularity
Repository stars7,505Highest4,351
7-day net stars——
Fork2,039Highest383
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-11-032026-11-03
Maintenance notesNot verifiedNot verified
Repository created2025-09-112023-07-22
License & use
LicenseApache-2.0 · PermissiveApache-2.0 · Permissive
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeData analysis · Image generation · Model servingData analysis · Model serving
TypeFrameworks & SDKsFrameworks & SDKs
SubcategoryData science & machine learningData science & machine learning
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-032026-11-03
MetricRepository stars, not unique users or individual-skill installsRepository stars, not unique users or individual-skill installs
LanguagePythonPython
About this projectA framework for efficient model inference with omni-modality modelsLightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.
Measured at2026-11-03 08:24 UTC2026-11-03 09:37 UTC

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