Add repository README with app LoRA descriptions and usage instructions

README.md

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+# Qwen2-VL-7B App LoRA Adapters
+
+This repository contains LoRA (Low-Rank Adaptation) adapters for the [Qwen2-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct) model, fine-tuned on different mobile application datasets.
+
+## Model Description
+
+These LoRA adapters were trained using federated learning approaches on app-specific datasets from the FedMABench benchmark. Each app contains:
+
+- **v0**: Initial training checkpoint (基础训练后的初始LoRA)
+- **global_lora_10**: Global aggregated LoRA after 10 rounds of federated learning (第10轮联邦学习聚合后的全局LoRA)
+
+## Available Apps (14 total)
+
+| App | v0 Checkpoint | Global LoRA (Round 10) | Training Version |
+|-----|---------------|------------------------|------------------|
+| adidas | ✅ checkpoint-108 | ✅ global_lora_10 | v0-20260131-111220 |
+| amazon | ✅ checkpoint-312 | ✅ global_lora_10 | v0-20260130-190721 |
+| calendar | ✅ checkpoint-129 | ✅ global_lora_10 | v0-20260131-131350 |
+| clock | ✅ checkpoint-198 | ✅ global_lora_10 | v0-20260131-052630 |
+| decathlon | ✅ checkpoint-63 | ✅ global_lora_10 | v0-20260131-122711 |
+| ebay | ✅ checkpoint-219 | ✅ global_lora_10 | v0-20260130-223012 |
+| etsy | ✅ checkpoint-60 | ✅ global_lora_10 | v0-20260131-202612 |
+| flipkart | ✅ checkpoint-174 | ✅ global_lora_10 | v0-20260131-010305 |
+| gmail | ✅ checkpoint-201 | ✅ global_lora_10 | v0-20260131-025059 |
+| google_drive | ✅ checkpoint-63 | ✅ global_lora_10 | v0-20260131-103300 |
+| google_maps | ✅ checkpoint-60 | ✅ global_lora_10 | v0-20260131-150323 |
+| kitchen_stories | ✅ checkpoint-75 | ✅ global_lora_10 | v0-20260131-155209 |
+| reminder | ✅ checkpoint-138 | ✅ global_lora_10 | v0-20260131-073315 |
+| youtube | ✅ checkpoint-78 | ✅ global_lora_10 | v0-20260131-093519 |
+
+## Directory Structure
+
+```
+qwen2vl-7b-lora-apps/
+├── adidas/
+│   ├── v0/                 # Initial checkpoint LoRA
+│   └── global_lora_10/     # Round 10 federated LoRA
+├── amazon/
+│   ├── v0/
+│   └── global_lora_10/
+├── calendar/
+│   ├── v0/
+│   └── global_lora_10/
+... (14 apps total)
+```
+
+## Usage
+
+### Loading with PEFT
+
+```python
+from peft import PeftModel
+from transformers import Qwen2VLForConditionalGeneration
+
+# Load base model
+base_model = Qwen2VLForConditionalGeneration.from_pretrained(
+    "Qwen/Qwen2-VL-7B-Instruct",
+    torch_dtype="auto",
+    device_map="auto"
+)
+
+# Load a specific app LoRA (e.g., amazon global_lora_10)
+model = PeftModel.from_pretrained(
+    base_model,
+    "bmh201708/qwen2vl-7b-lora-apps",
+    subfolder="amazon/global_lora_10"
+)
+```
+
+### Loading with Hugging Face Hub
+
+```python
+from huggingface_hub import snapshot_download
+
+# Download specific app LoRA
+local_path = snapshot_download(
+    repo_id="bmh201708/qwen2vl-7b-lora-apps",
+    allow_patterns=["amazon/global_lora_10/*"]
+)
+```
+
+## Base Model
+
+- **Model**: [Qwen/Qwen2-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct)
+- **LoRA Library**: PEFT 0.17.1
+
+## Training Details
+
+These LoRAs were trained as part of the FedMABench (Federated Mobile Agent Benchmark) project for mobile GUI agent tasks. Each app represents a specific mobile application domain.
+
+## Related Repositories
+
+- **Category LoRAs**: [bmh201708/qwen2vl-7b-lora-categories](https://huggingface.co/bmh201708/qwen2vl-7b-lora-categories) - LoRAs organized by category (Entertainment, Lives, Office, Shopping, Traveling)
+
+## License
+
+Please refer to the [Qwen2-VL license](https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct) for usage terms.
+
+## Citation
+
+If you use these LoRA adapters, please cite the FedMABench project.