ai-decentralized/BloomBee
Decentralized LLMs fine-tuning and inference with offloading
This project helps AI developers and researchers overcome the challenge of running large language models (LLMs) when they lack a single, powerful GPU. It takes large LLMs like LLaMA and splits them across multiple machines, allowing smaller GPUs to contribute. The output is a functional, distributed LLM for inference or fine-tuning, accessible to anyone building AI applications or performing model research.
111 stars.
Use this if you need to run or fine-tune very large language models but only have access to several machines with modest GPU resources, not one extremely powerful GPU.
Not ideal if you already have access to a single, high-end GPU or a dedicated cluster powerful enough to run your LLMs efficiently without decentralization.
Stars
111
Forks
23
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 12, 2026
Commits (30d)
0
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