---
base_model: OpenGVLab/InternVL2-2B
library_name: peft
pipeline_tag: image-text-to-text
tags:
- lora
- internvl2
- vision-language
- android-control
license: apache-2.0
---

# InternVL2-2B LoRAs for Android Control Apps

This repository contains LoRA adapters for InternVL2-2B trained on different Android app UI control tasks.

## Available Apps

| App | Subdirectory |
|-----|-------------|
| clock | `clock/` |
| reminder | `reminder/` |
| youtube | `youtube/` |
| google_drive | `google_drive/` |
| adidas | `adidas/` |
| decathlon | `decathlon/` |
| etsy | `etsy/` |
| calendar | `calendar/` |
| google_maps | `google_maps/` |
| kitchen_stories | `kitchen_stories/` |

## Model Details

- **Base Model**: [OpenGVLab/InternVL2-2B](https://huggingface.co/OpenGVLab/InternVL2-2B)
- **LoRA Rank**: 8
- **LoRA Alpha**: 32
- **Training Checkpoint**: global_lora_2 (Round 2)

## Usage

```python
from transformers import AutoModel
from peft import PeftModel

base_model = AutoModel.from_pretrained("OpenGVLab/InternVL2-2B", trust_remote_code=True)

# Load specific app LoRA
app = "clock"  # or: reminder, youtube, google_drive, adidas, decathlon, etsy, calendar, google_maps, kitchen_stories
model = PeftModel.from_pretrained(base_model, "bmh201708/internvl2-2b-lora-apps", subfolder=app)
```

## License

Apache 2.0