LMDeploy
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Overview
HEALTH SCORE
Excellent*
Partial score (2/3 categories)
62out of 65
Strong maintainer coverage. Development cadence is the only remaining gap. Security & Supply Chain is unavailable, so weights were redistributed.
LIFECYCLE
Active
Consistent commits, responsive maintainers, regular releases, and healthy issue triage.
Health breakdown
Excellent*(62/65)
Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.
Maintainer responsiveness
Median response time is 0 days.
Bus factor
17 active maintainers currently have merge rights.
Organization Diversity
Contributors span 181 organizations.
Project Achievements
Leaderboards
About
LMDeploy is an end-to-end optimization toolkit for large language models (LLMs) that enables efficient model deployment and inference. It provides features like model compression, quantization, and serving optimizations to improve performance and reduce resource requirements when deploying LLMs in production environments.
First commit
Software value
$7.3M
Tags
codellama
cuda-kernels
deepspeed
fastertransformer
internlm
llama
llama2
llama3
llm
llm-inference
turbomind
License(s)
Apache-2.0
Data sources
Git
GitHub