Localized Language Model Deployment Using MNN-LLM
In data privacy sensitive industries such as healthcare and finance, local deployment of LLM ensures data security:
- Equipment Selection: Moderately configured Android phones can run the 7B parameter count model.
- model transformation:: Conversion of HuggingFace format models to MNN-specific formats
- Privacy: All data processing is done on the device side, no reliance on the cloud
- multimodal support:: Integrated text, image and audio processing capabilities available
Detailed operating procedures:
1. Download pre-compiled APK or build your own MNN-LLM Android apps.
2. Selection of appropriate models (e.g., Qwen-7B) through the in-app model store
3. Enter text prompts to get fully offline generation results
4. Optional: Integrate your own business data fine-tuning model
This answer comes from the articleMNN: A Lightweight and Efficient Deep Learning Inference FrameworkThe
May not be reproduced without permission:AI productivity tools " How to achieve local deployment of large language models in private scenarios?
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