// Run models locally
distributed-llamav0.16.5
Distributed LLM inference. Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.
Open source Maintained For developers
IN ONE PARAGRAPH
distributed-llama is distributed LLM inference. Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.
Good for: Developers and teams who want to run models locally.
01How to start
- 1Read the official quick-start (link above).
- 2Install or sign up as the official guide describes.
- 3Try it on a small example before wiring it into a project.
02Alternatives & comparison
Compare side by side → lmdeploy LMDeploy is a toolkit for compressing, deploying, and serving LLMs. ★ 8.1k gpustack A GPU cluster manager for high-performance AI model serving (vLLM, SGLang) and on-demand SSH-accessible GPU instances. ★ 5.9k BentoML The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more! ★ 8.9k ai-dynamo/dynamo A Datacenter Scale Distributed Inference Serving Framework ★ 8.4k lms LM Studio CLI ★ 5.4k
03Related
- ›Elements of AI · 赫尔辛基大学 / MinnaLearnMultilingual (incl. EN/ZH)
- ›AI For Everyone · DeepLearning.AI / 吴恩达English
- ›Generative AI for Everyone · DeepLearning.AI / 吴恩达English
- ›Introduction to Generative AI 学习路径 · Google Cloud SkillsEnglish
- ›Microsoft Learn: Fundamentals of Generative AI · Microsoft LearnMultilingual (incl. EN/ZH)
- All tutorials →