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--- |
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base_model: OpenGVLab/InternVL2-2B |
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library_name: peft |
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pipeline_tag: image-text-to-text |
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tags: |
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- lora |
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- internvl2 |
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- vision-language |
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- android-control |
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license: apache-2.0 |
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--- |
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# InternVL2-2B LoRAs for Android Control Apps |
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This repository contains LoRA adapters for InternVL2-2B trained on different Android app UI control tasks. |
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## Available Apps |
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| App | Subdirectory | |
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|-----|-------------| |
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| clock | `clock/` | |
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| reminder | `reminder/` | |
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| youtube | `youtube/` | |
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| google_drive | `google_drive/` | |
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| adidas | `adidas/` | |
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| decathlon | `decathlon/` | |
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| etsy | `etsy/` | |
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| calendar | `calendar/` | |
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| google_maps | `google_maps/` | |
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| kitchen_stories | `kitchen_stories/` | |
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## Model Details |
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- **Base Model**: [OpenGVLab/InternVL2-2B](https://huggingface.co/OpenGVLab/InternVL2-2B) |
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- **LoRA Rank**: 8 |
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- **LoRA Alpha**: 32 |
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- **Training Checkpoint**: global_lora_2 (Round 2) |
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## Usage |
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```python |
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from transformers import AutoModel |
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from peft import PeftModel |
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base_model = AutoModel.from_pretrained("OpenGVLab/InternVL2-2B", trust_remote_code=True) |
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# Load specific app LoRA |
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app = "clock" # or: reminder, youtube, google_drive, adidas, decathlon, etsy, calendar, google_maps, kitchen_stories |
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model = PeftModel.from_pretrained(base_model, "bmh201708/internvl2-2b-lora-apps", subfolder=app) |
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``` |
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## License |
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Apache 2.0 |
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