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internvl2-2b-lora-apps

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Upload InternVL2-2B App LoRAs (global_lora_2)

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  1. README.md +54 -0
  2. adidas/adapter_config.json +34 -0
  3. adidas/adapter_model.safetensors +3 -0
  4. adidas/additional_config.json +1 -0
  5. calendar/adapter_config.json +34 -0
  6. calendar/adapter_model.safetensors +3 -0
  7. calendar/additional_config.json +1 -0
  8. clock/adapter_config.json +34 -0
  9. clock/adapter_model.safetensors +3 -0
  10. clock/additional_config.json +1 -0
  11. decathlon/adapter_config.json +34 -0
  12. decathlon/adapter_model.safetensors +3 -0
  13. decathlon/additional_config.json +1 -0
  14. etsy/adapter_config.json +34 -0
  15. etsy/adapter_model.safetensors +3 -0
  16. etsy/additional_config.json +1 -0
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  18. google_drive/adapter_model.safetensors +3 -0
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  20. google_maps/adapter_config.json +34 -0
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  26. reminder/adapter_config.json +34 -0
  27. reminder/adapter_model.safetensors +3 -0
  28. reminder/additional_config.json +1 -0
  29. youtube/adapter_config.json +34 -0
  30. youtube/adapter_model.safetensors +3 -0
  31. youtube/additional_config.json +1 -0
README.md ADDED
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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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+
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+ # InternVL2-2B LoRAs for Android Control Apps
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+
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+ This repository contains LoRA adapters for InternVL2-2B trained on different Android app UI control tasks.
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+
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+ ## Available Apps
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+
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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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+
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+ ## Model Details
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+
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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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+
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+ ## Usage
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+
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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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+
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+ base_model = AutoModel.from_pretrained("OpenGVLab/InternVL2-2B", trust_remote_code=True)
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+
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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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+
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+ ## License
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+
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+ Apache 2.0
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