初始化项目，由ModelHub XC社区提供模型

Model: iic/GUI-Owl-7B
Source: Original Platform

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README.md

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+---
+license: mit
+language:
+- en
+base_model:
+- Qwen/Qwen2.5-VL-7B-Instruct
+tags:
+- arxiv:2508.15144
+---
+
+# GUI-Owl
+
+<div align="center">
+<img src=https://youke1.picui.cn/s1/2025/08/18/68a2f82fef3d4.png width="40%"/>
+</div>
+
+GUI-Owl is a model series developed as part of the Mobile-Agent-V3 project. It achieves state-of-the-art performance across a range of GUI automation benchmarks, including ScreenSpot-V2, ScreenSpot-Pro, OSWorld-G, MMBench-GUI, Android Control, Android World, and OSWorld. Furthermore, it can be instantiated as various specialized agents within the Mobile-Agent-V3 multi-agent framework to accomplish more complex tasks.
+
+* **Paper**: [Paper Link](https://github.com/X-PLUG/MobileAgent/blob/main/Mobile-Agent-v3/assets/MobileAgentV3_Tech.pdf)
+* **GitHub Repository**: https://github.com/X-PLUG/MobileAgent
+* **Online Demo**: Comming soon
+
+## Performance
+
+### ScreenSpot-V2, ScreenSpot-Pro and OSWorld-G
+<img src="https://github.com/X-PLUG/MobileAgent/blob/main/Mobile-Agent-v3/assets/screenspot_v2.jpg?raw=true" width="80%"/>
+<img src="https://github.com/X-PLUG/MobileAgent/blob/main/Mobile-Agent-v3/assets/screenspot_pro.jpg?raw=true" width="80%"/>
+<img src="https://github.com/X-PLUG/MobileAgent/blob/main/Mobile-Agent-v3/assets/osworld_g.jpg?raw=true" width="80%"/>
+
+### MMBench-GUI L1, L2 and Android Control
+<img src="https://github.com/X-PLUG/MobileAgent/blob/main/Mobile-Agent-v3/assets/mmbench_gui_l1.jpg?raw=true" width="80%"/>
+<img src="https://github.com/X-PLUG/MobileAgent/blob/main/Mobile-Agent-v3/assets/mmbench_gui_l2.jpg?raw=true" width="80%"/>
+<img src="https://github.com/X-PLUG/MobileAgent/blob/main/Mobile-Agent-v3/assets/android_control.jpg?raw=true" width="60%"/>
+
+### Android World and OSWorld-Verified
+<img src="https://github.com/X-PLUG/MobileAgent/blob/main/Mobile-Agent-v3/assets/online.jpg?raw=true" width="60%"/>
+
+## Usage
+
+Please refer to our cookbook.
+
+## Deploy
+
+We recommand deploy GUI-Owl-7B through vllm
+
+This script has been validated on an A100 with 96 GB of VRAM.
+```bash
+PIXEL_ARGS='{"min_pixels":3136,"max_pixels":10035200}'
+IMAGE_LIMIT_ARGS='image=2'
+MP_SIZE=1
+MM_KWARGS=(
+    --mm-processor-kwargs $PIXEL_ARGS
+    --limit-mm-per-prompt $IMAGE_LIMIT_ARGS
+)
+
+vllm serve $CKPT \
+    --max-model-len 32768 ${MM_KWARGS[@]} \
+    --tensor-parallel-size $MP_SIZE \
+    --allowed-local-media-path '/' \
+    --port 4243
+```
+
+If you want GUI-Owl to recieve more than two images, you could increase `IMAGE_LIMIT_ARGS` and reduce `max_pixels`.
+
+For example:
+```bash
+PIXEL_ARGS='{"min_pixels":3136,"max_pixels":3211264}'
+IMAGE_LIMIT_ARGS='image=5'
+MP_SIZE=1
+MM_KWARGS=(
+    --mm-processor-kwargs $PIXEL_ARGS
+    --limit-mm-per-prompt $IMAGE_LIMIT_ARGS
+)
+
+vllm serve $CKPT \
+    --max-model-len 32768 ${MM_KWARGS[@]} \
+    --tensor-parallel-size $MP_SIZE \
+    --allowed-local-media-path '/' \
+    --port 4243
+```
+
+## Citation
+If you find our paper and model useful in your research, feel free to give us a cite.
+```
+@misc{ye2025mobileagentv3foundamentalagentsgui,
+      title={Mobile-Agent-v3: Foundamental Agents for GUI Automation}, 
+      author={Jiabo Ye and Xi Zhang and Haiyang Xu and Haowei Liu and Junyang Wang and Zhaoqing Zhu and Ziwei Zheng and Feiyu Gao and Junjie Cao and Zhengxi Lu and Jitong Liao and Qi Zheng and Fei Huang and Jingren Zhou and Ming Yan},
+      year={2025},
+      eprint={2508.15144},
+      archivePrefix={arXiv},
+      primaryClass={cs.AI},
+      url={https://arxiv.org/abs/2508.15144}, 
+}
+```

chat_template.json

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+{
+    "chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}"
+}

config.json

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+{
+  "architectures": [
+    "Qwen2_5_VLForConditionalGeneration"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151645,
+  "vision_start_token_id": 151652,
+  "vision_end_token_id": 151653,
+  "vision_token_id": 151654,
+  "image_token_id": 151655,
+  "video_token_id": 151656,
+  "hidden_act": "silu",
+  "hidden_size": 3584,
+  "initializer_range": 0.02,
+  "intermediate_size": 18944,
+  "max_position_embeddings": 32768,
+  "max_window_layers": 28,
+  "model_type": "qwen2_5_vl",
+  "num_attention_heads": 28,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 4,
+  "rms_norm_eps": 1e-06,
+  "rope_theta": 1000000.0,
+  "sliding_window": 32768,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.41.2",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vision_config": {
+    "depth": 32,
+    "hidden_act": "silu",
+    "hidden_size": 1280,
+    "intermediate_size": 3456,
+    "num_heads": 16,
+    "in_chans": 3,
+    "out_hidden_size": 3584,
+    "patch_size": 14,
+    "spatial_merge_size": 2,
+    "spatial_patch_size": 14,
+    "window_size": 112,
+    "fullatt_block_indexes": [
+      7,
+      15,
+      23,
+      31
+    ],
+    "tokens_per_second": 2,
+    "temporal_patch_size": 2
+  },
+  "rope_scaling": {
+    "type": "mrope",
+    "mrope_section": [
+      16,
+      24,
+      24
+    ]
+  },
+  "vocab_size": 152064
+}

configuration.json

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+{"framework":"Pytorch","task":"image-text-to-text"}

generation_config.json

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+  "pad_token_id": 151643,
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "repetition_penalty": 1.05,
+  "temperature": 0.1,
+  "top_p": 0.001,
+  "top_k": 1,
+  "transformers_version": "4.37.0"
+}

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+        "151668": {
+            "content": "</think>",
+            "lstrip": false,
+            "normalized": false,
+            "rstrip": false,
+            "single_word": false,
+            "special": false
+        }
+    },
+    "additional_special_tokens": [
+        "<|im_start|>",
+        "<|im_end|>",
+        "<|object_ref_start|>",
+        "<|object_ref_end|>",
+        "<|box_start|>",
+        "<|box_end|>",
+        "<|quad_start|>",
+        "<|quad_end|>",
+        "<|vision_start|>",
+        "<|vision_end|>",
+        "<|vision_pad|>",
+        "<|image_pad|>",
+        "<|video_pad|>"
+    ],
+    "bos_token": null,
+    "chat_template": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0].role == 'system' %}\n        {{- messages[0].content + '\\n\\n' }}\n    {%- endif %}\n    {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- '\\n' }}\n        {{- '{\"type\": \"function\", \"function\": {\"name\": \"' }}\n        {{- tool.name }}\n        {{- '\"' }}\n        {%- for key, value in tool.items() %}\n            {%- if key != 'name' %}\n                {{- ', \"' }}\n                {{- key }}\n                {{- '\": ' }}\n                {{- value|tojson}}\n            {%- endif %}\n        {%- endfor %}\n        {{- '}}' }}\n    {%- endfor %}\n    {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n    {%- if messages[0].role == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n    {%- set index = (messages|length - 1) - loop.index0 %}\n    {%- if ns.multi_step_tool and message.role == \"user\" and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}\n        {%- set ns.multi_step_tool = false %}\n        {%- set ns.last_query_index = index %}\n    {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {%- set content = message.content %}\n        {%- set reasoning_content = '' %}\n        {%- if message.reasoning_content is defined and message.reasoning_content is not none %}\n            {%- set reasoning_content = message.reasoning_content %}\n        {%- else %}\n            {%- if '</think>' in message.content %}\n                {%- set content = message.content.split('</think>')[-1].lstrip('\\n') %}\n                {%- set reasoning_content = message.content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n            {%- endif %}\n        {%- endif %}\n        {%- if loop.index0 > ns.last_query_index %}\n            {%- if loop.last or (not loop.last and reasoning_content) %}\n                {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n            {%- else %}\n                {{- '<|im_start|>' + message.role + '\\n' + content }}\n            {%- endif %}\n        {%- else %}\n            {{- '<|im_start|>' + message.role + '\\n' + content }}\n        {%- endif %}\n        {%- if message.tool_calls %}\n            {%- for tool_call in message.tool_calls %}\n                {%- if (loop.first and content) or (not loop.first) %}\n                    {{- '\\n' }}\n                {%- endif %}\n                {%- if tool_call.function %}\n                    {%- set tool_call = tool_call.function %}\n                {%- endif %}\n                {{- '<tool_call>\\n{\"name\": \"' }}\n                {{- tool_call.name }}\n                {{- '\", \"arguments\": ' }}\n                {{- tool_call.arguments }}\n                {{- '}\\n</tool_call>' }}\n            {%- endfor %}\n        {%- endif %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- message.content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n    {%- if enable_thinking is defined and enable_thinking is false %}\n        {{- '<think>\\n\\n</think>\\n\\n' }}\n    {%- endif %}\n{%- endif %}",
+    "clean_up_tokenization_spaces": false,
+    "eos_token": "<|im_end|>",
+    "errors": "replace",
+    "model_max_length": 131072,
+    "pad_token": "<|endoftext|>",
+    "split_special_tokens": false,
+    "tokenizer_class": "Qwen2Tokenizer",
+    "unk_token": null,
+    "add_bos_token": false
+}