MobileFineTuner

[1. Overview](#1. Overview)
References

MobileFineTuner
https://github.com/AndyLu666/MobileFineTuner

MobileFineTuner: A Unified End-to-End Framework for Fine-Tuning LLMs on Mobile Phones
https://arxiv.org/abs/2512.08211

MobileFineTuner：一个统一的端到端框架，用于在手机上微调大语言模型 (LLMs)

MobileFineTuner: Native C++ framework for fine-tuning LLMs directly on mobile devices.

Keep your data on-device.

1. Overview

MobileFineTuner is an open-source framework that enables practical, privacy-preserving fine-tuning of Large Language Models (LLMs) directly on commodity mobile phones. By keeping sensitive user data on-device, MobileFineTuner addresses critical privacy concerns while unlocking vast amounts of valuable private-domain data for personalized model adaptation.

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preserve [prɪˈzɜː(r)v]
v. 保留；保护；保存；维护
n. (某人或群体活动、工作等的) 专门领域；果酱；腌菜；泡菜
commodity [kəˈmɒdəti]
n. 商品；产品；货物；商品经济
critical ['krɪtɪk(ə)l]
adj. 批评的；批判性的；挑剔的；极重要的

Unlike simulation-based or desktop-bound approaches, MobileFineTuner runs natively on mobile hardware through a lean C++ implementation, eliminating Python runtime overhead and enabling both Full Fine-Tuning (Full-FT) and Parameter-Efficient Fine-Tuning (PEFT/LoRA) under tight resource constraints.

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lean [liːn]
n. 瘦肉
v. 倾斜；倚靠；前俯或后仰；靠在
adj. 肉少的；瘦且健康的；脂肪少的；无脂肪的

References

1\] Yongqiang Cheng (程永强),