初始化项目，由ModelHub XC社区提供模型

Model: mPLUG/GUI-Owl-1.5-2B-Instruct
Source: Original Platform

.gitattributes

@@ -0,0 +1,35 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,75 @@
+---
+license: mit
+language:
+- en
+tags:
+- arxiv:2602.16855
+---
+
+## Introduction
+<img src="https://github.com/X-PLUG/MobileAgent/blob/main/Mobile-Agent-v3.5/assets/gui_owl_15_logo.png?raw=true" width="80%"/>
+
+GUI-Owl 1.5 is the next-generation native GUI agent model family built on Qwen3-VL. It supports multi-platform GUI automation across desktops, mobile devices, browsers, and more. Powered by a scalable hybrid data flywheel, unified agent capability enhancement, and multi-platform environment RL (MRPO), GUI-Owl 1.5 offers a full spectrum of models.
+
+* **Paper**: https://arxiv.org/abs/2602.16855
+* **GitHub Repository**: https://github.com/X-PLUG/MobileAgent
+* **Online Demo**: http://modelscope.cn/studios/MobileAgentTest/computer_use
+  
+**Key highlights:**
+- 🏆 **State-of-the-art** among multi-platform GUI models on OSWorld-Verified, AndroidWorld, Mobile-World, WindowsAA, ScreenSpot-v2, ScreenSpot-Pro, and more.
+- 🔧 **Tool & MCP calling**: Native support for external tool invocation and MCP server coordination, achieving top performance on OSWorld-MCP and Mobile-World.
+- 🧠 **Long-horizon memory**: Built-in memory capability without external workflow orchestration, leading all native agent models on MemGUI-Bench.
+- 🤝 **Multi-agent ready**: Serves both as a standalone end-to-end agent and as specialized roles (planner, executor, verifier, notetaker) within the Mobile-Agent-v3.5 framework.
+- ⚡ **Instruct & Thinking variants**: Smaller instruct models for fast inference and edge deployment; larger thinking models for complex tasks requiring planning and reflection.
+
+
+## Performance
+### End-to-End Online Benchmarks
+
+| Model | OSWorld-Verified | AndroidWorld | OSWorld-MCP | Mobile-World | WindowsAA | WebArena | VisualWebArena | WebVoyager | Online-Mind2Web
+|-------|:---:|:---:|:---:|:---:|:---:|:---:|:---:|:---:|:---:|
+| GUI-Owl-1.5-2B-Instruct | 43.5 | 67.9 | 33.0 | 31.3 | 25.8 | - | - | - | - |
+| GUI-Owl-1.5-4B-Instruct | 48.2 | 69.8 | 31.7 | 32.3 | 29.4 | - | - | - | - |
+| GUI-Owl-1.5-8B-Instruct | 52.3 | 69.0 | 41.8 | 41.8 | 31.7 | 45.7 | 39.4 | 69.9 | 41.7 |
+| GUI-Owl-1.5-8B-Thinking | 52.9 | **71.6** | 38.8 | 33.3 | 35.1 | 46.7 | 40.8 | 78.1 | **48.6** |
+| GUI-Owl-1.5-32B-Instruct | **56.5** | 69.4 | **47.6** | **46.8** | **44.8** | - | - | - | - |
+| GUI-Owl-1.5-32B-Thinking | 56.0 | 68.2 | 43.8 | 42.8 | 44.1 | **48.4** | **46.6** | **82.1** | - |
+
+### Grounding Benchmarks
+
+Please refer to the technical report for detailed results on ScreenSpot-v2, ScreenSpot-Pro, OSWorld-G, MMBench-GUI, and more.
+
+## Usage
+
+Please refer to our cookbook.
+
+## Deploy
+
+We recommand deploy GUI-Owl-1.5 through vllm
+
+This script has been validated on an A100 with 96 GB of VRAM.
+```bash
+PIXEL_ARGS='{"size": {"longest_edge": 3072000, "shortest_edge": 65536}}'
+IMAGE_LIMIT_ARGS='image=5'
+MP_SIZE=1
+
+vllm serve $CKPT \
+    --max-model-len 32768 \
+    --mm-processor-kwargs "$PIXEL_ARGS" \
+    --limit-mm-per-prompt "$IMAGE_LIMIT_ARGS" \
+    --tensor-parallel-size $MP_SIZE \
+    --allowed-local-media-path '/' \
+    --port 4243 \
+```
+
+## Citation
+
+If you find this model useful, please cite our paper:
+
+```bibtex
+@article{MobileAgentv3.5,
+  title={Mobile-Agent-v3.5: Multi-platform Fundamental GUI Agents},
+  author={Haiyang Xu, Xi Zhang, Haowei Liu, Junyang Wang, Zhaozai Zhu, Shengjie Zhou, Xuhao Hu, Feiyu Gao, Junjie Cao, Zihua Wang, Zhiyuan Chen, Jitong Liao, Qi Zheng, Jiahui Zeng, Ze Xu, Shuai Bai, Junyang Lin, Jingren Zhou, Ming Yan},
+  journal={arXiv preprint arXiv:2602.16855},
+  year={2026}
+}

config.json

@@ -0,0 +1,63 @@
+{
+  "architectures": [
+    "Qwen3VLForConditionalGeneration"
+  ],
+  "image_token_id": 151655,
+  "model_type": "qwen3_vl",
+  "text_config": {
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "bos_token_id": 151643,
+    "dtype": "bfloat16",
+    "eos_token_id": 151645,
+    "head_dim": 128,
+    "hidden_act": "silu",
+    "hidden_size": 2048,
+    "initializer_range": 0.02,
+    "intermediate_size": 6144,
+    "max_position_embeddings": 32768,
+    "model_type": "qwen3_vl_text",
+    "num_attention_heads": 16,
+    "num_hidden_layers": 28,
+    "num_key_value_heads": 8,
+    "rms_norm_eps": 1e-06,
+    "rope_scaling": {
+      "mrope_interleaved": true,
+      "mrope_section": [
+        24,
+        20,
+        20
+      ],
+      "rope_type": "default"
+    },
+    "rope_theta": 5000000,
+    "tie_word_embeddings": true,
+    "use_cache": true,
+    "vocab_size": 151936
+  },
+  "tie_word_embeddings": true,
+  "transformers_version": "4.57.1",
+  "video_token_id": 151656,
+  "vision_config": {
+    "deepstack_visual_indexes": [
+      5,
+      11,
+      17
+    ],
+    "depth": 24,
+    "hidden_act": "gelu_pytorch_tanh",
+    "hidden_size": 1024,
+    "in_channels": 3,
+    "initializer_range": 0.02,
+    "intermediate_size": 4096,
+    "model_type": "qwen3_vl",
+    "num_heads": 16,
+    "num_position_embeddings": 2304,
+    "out_hidden_size": 2048,
+    "patch_size": 16,
+    "spatial_merge_size": 2,
+    "temporal_patch_size": 2
+  },
+  "vision_end_token_id": 151653,
+  "vision_start_token_id": 151652
+}

generation_config.json

@@ -0,0 +1,13 @@
+{
+  "bos_token_id": 151643,
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "pad_token_id": 151643,
+  "temperature": 0.6,
+  "top_k": 40,
+  "top_p": 0.95,
+  "transformers_version": "4.57.1"
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f6847dd4ded9506962f75dbc254346d16bb8173fec3a16b31088ded0eb439186
+size 4255140312

preprocessor_config.json

@@ -0,0 +1,21 @@
+{
+    "size": {
+        "longest_edge": 16777216,
+        "shortest_edge": 65536
+    },
+    "patch_size": 16,
+    "temporal_patch_size": 2,
+    "merge_size": 2,
+    "image_mean": [
+        0.5,
+        0.5,
+        0.5
+    ],
+    "image_std": [
+        0.5,
+        0.5,
+        0.5
+    ],
+    "processor_class": "Qwen3VLProcessor",
+    "image_processor_type": "Qwen2VLImageProcessorFast"
+}

video_preprocessor_config.json

@@ -0,0 +1,21 @@
+{
+    "size": {
+        "longest_edge": 25165824,
+        "shortest_edge": 65536
+    },
+    "patch_size": 16,
+    "temporal_patch_size": 2,
+    "merge_size": 2,
+    "image_mean": [
+        0.5,
+        0.5,
+        0.5
+    ],
+    "image_std": [
+        0.5,
+        0.5,
+        0.5
+    ],
+    "processor_class": "Qwen3VLProcessor",
+    "video_processor_type": "Qwen3VLVideoProcessor"
+}