commit 009c4c1e34089a601d51f64823dc9e23a8aae68a Author: ModelHub XC Date: Sun Sep 6 07:26:12 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: xlangai/Jedi-3B-1080p Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..826af21 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,51 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bin.* filter=lfs diff=lfs merge=lfs -text +*.bz2 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 +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack 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 +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +saved_model/**/* 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 +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zstandard filter=lfs diff=lfs merge=lfs -text +*.tfevents* filter=lfs diff=lfs merge=lfs -text +*.db* filter=lfs diff=lfs merge=lfs -text +*.ark* filter=lfs diff=lfs merge=lfs -text +**/*ckpt*data* filter=lfs diff=lfs merge=lfs -text +**/*ckpt*.meta filter=lfs diff=lfs merge=lfs -text +**/*ckpt*.index filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.gguf* filter=lfs diff=lfs merge=lfs -text +*.ggml filter=lfs diff=lfs merge=lfs -text +*.llamafile* filter=lfs diff=lfs merge=lfs -text +*.pt2 filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text + +merges.txt filter=lfs diff=lfs merge=lfs -text +trainer_state.json filter=lfs diff=lfs merge=lfs -text +vocab.json filter=lfs diff=lfs merge=lfs -text \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 0000000..be568b2 --- /dev/null +++ b/README.md @@ -0,0 +1,204 @@ +--- +base_model: +- Qwen/Qwen2.5-VL-3B-Instruct +language: +- en +library_name: transformers +license: apache-2.0 +pipeline_tag: image-text-to-text +--- + +This repository contains the model based on Qwen2.5-VL-3B as presented in [Scaling Computer-Use Grounding via User Interface Decomposition and Synthesis](https://arxiv.org/abs/2505.13227). + +Project page: https://osworld-grounding.github.io + +For code and sample usage, see https://github.com/xlang-ai/OSWorld-G. + +To use our model, we recommend using `vllm`. You need to carefully follow the computer use agent template from Qwen-2.5-VL, and be very careful with the image size to enable the best performance. We show a small example here (You can also run [`demo.py`](demo.py) to see the demo): +``` python +import json +import re +from PIL import Image, ImageDraw +from transformers import AutoTokenizer +from vllm import LLM, SamplingParams +from agent_function_call import ComputerUse +from transformers.models.qwen2_vl.image_processing_qwen2_vl_fast import smart_resize +from transformers import Qwen2_5_VLProcessor +from huggingface_hub import hf_hub_download + +model_path = "xlangai/Jedi-3B-1080p" +# model_path = "xlangai/Jedi-7B-1080p" + +FN_CALL_TEMPLATE = """You are a helpful assistant. + +# Tools + +You may call one or more functions to assist with the user query. + +You are provided with function signatures within XML tags: + +{tool_descs} + + +For each function call, return a json object with function name and arguments within XML tags: + +{{"name": , "arguments": }} +""" + + +def visualize_click_position(image, coords, circle_radius=9, point_radius=3): + draw = ImageDraw.Draw(image) + + x, y = coords + + draw.ellipse( + [x - circle_radius, y - circle_radius, x + circle_radius, y + circle_radius], + outline="lightgreen", + width=2, + ) + + draw.ellipse( + [x - point_radius, y - point_radius, x + point_radius, y + point_radius], + fill="lightgreen", + ) + + return image + + +def parse_coordinates(response): + match = re.search(r"(.*?)", response, re.DOTALL) + action = None + if not match: + raise ValueError("No block found in response.") + + try: + action = json.loads(match.group(1)) + except json.JSONDecodeError as e: + raise ValueError(f"Failed to parse tool_call JSON: {e}") + action_name = action["name"] + action_type = action["arguments"]["action"] + action_args = action["arguments"]["coordinate"] + + if ( + action_name != "computer_use" + or action_type + not in ("mouse_move", "left_click", "right_click", "double_click") + or action_args is None + ): + print(f"Error parsing coordinates: {response}") + return None + + return action_args + + +def main(): + processor = Qwen2_5_VLProcessor.from_pretrained(model_path) + + input_image = Image.open("demo_image.png") + instruction = "Open the filter function for search settings." + + resized_height, resized_width = smart_resize( + input_image.height, + input_image.width, + factor=processor.image_processor.patch_size + * processor.image_processor.merge_size, + min_pixels=processor.image_processor.min_pixels, + max_pixels=processor.image_processor.max_pixels, + ) + + computer_use = ComputerUse( + cfg={ + "display_width_px": resized_width, + "display_height_px": resized_height, + } + ) + tools = [computer_use.function] + tool_descs = [{"type": "function", "function": f} for f in tools] + tool_descs = " +".join([json.dumps(f, ensure_ascii=False) for f in tool_descs]) + + llm = LLM( + model=model_path, + tokenizer_mode="slow", + dtype="bfloat16", + trust_remote_code=True, + ) + tokenizer = AutoTokenizer.from_pretrained( + model_path, trust_remote_code=True, use_fast=False + ) + + chat_template_path = hf_hub_download( + repo_id=model_path, filename="chat_template.json" + ) + with open(chat_template_path, "r") as f: + tokenizer.chat_template = json.load(f)["chat_template"] + + messages = [ + { + "role": "system", + "content": [ + { + "type": "text", + "text": FN_CALL_TEMPLATE.format(tool_descs=tool_descs), + } + ], + }, + { + "role": "user", + "content": [ + { + "type": "image", + }, + { + "type": "text", + "text": instruction, + }, + ], + }, + ] + sampling_params = SamplingParams( + temperature=0.01, + max_tokens=1024, + top_k=1, + ) + message = tokenizer.apply_chat_template(messages, add_generation_prompt=True) + + outputs = llm.generate( + { + "prompt_token_ids": message, + "multi_modal_data": { + "image": input_image, + }, + }, + sampling_params=sampling_params, + ) + generated_tokens = outputs[0].outputs[0].token_ids + response = tokenizer.decode(generated_tokens, skip_special_tokens=True) + predicted_coords = parse_coordinates(response) + print("predicted_coords: ", predicted_coords) + + if predicted_coords: + viz_image = visualize_click_position(input_image, predicted_coords) + viz_image.save("click_visualization.png") + + return predicted_coords + + +if __name__ == "__main__": + main() +``` + +## 📄 Citation +If you find this work useful, please consider citing our paper: + +```bibtex +@misc{xie2025scalingcomputerusegroundinguser, + title={Scaling Computer-Use Grounding via User Interface Decomposition and Synthesis}, + author={Tianbao Xie and Jiaqi Deng and Xiaochuan Li and Junlin Yang and Haoyuan Wu and Jixuan Chen and Wenjing Hu and Xinyuan Wang and Yuhui Xu and Zekun Wang and Yiheng Xu and Junli Wang and Doyen Sahoo and Tao Yu and Caiming Xiong}, + year={2025}, + eprint={2505.13227}, + archivePrefix={arXiv}, + primaryClass={cs.AI}, + url={https://arxiv.org/abs/2505.13227}, +} +``` \ No newline at end of file diff --git a/added_tokens.json b/added_tokens.json new file mode 100644 index 0000000..482ced4 --- /dev/null +++ b/added_tokens.json @@ 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+ 0.4578275, + 0.40821073 + ], + "image_processor_type": "Qwen2VLImageProcessor", + "image_std": [ + 0.26862954, + 0.26130258, + 0.27577711 + ], + "max_pixels": 2116800, + "merge_size": 2, + "min_pixels": 12544, + "patch_size": 14, + "processor_class": "Qwen2_5_VLProcessor", + "resample": 3, + "rescale_factor": 0.00392156862745098, + "size": { + "longest_edge": 2116800, + "shortest_edge": 12544 + }, + "temporal_patch_size": 2 +} diff --git a/special_tokens_map.json b/special_tokens_map.json new file mode 100644 index 0000000..ac23c0a --- /dev/null +++ b/special_tokens_map.json @@ -0,0 +1,31 @@ +{ + "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|>" + ], + "eos_token": { + "content": "<|im_end|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "<|endoftext|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/tokenizer_config.json b/tokenizer_config.json new file mode 100644 index 0000000..0f7fc8b --- /dev/null +++ b/tokenizer_config.json @@ -0,0 +1,209 @@ +{ + "add_bos_token": false, + "add_prefix_space": false, + "added_tokens_decoder": { + "151643": { + "content": "<|endoftext|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151644": { + "content": "<|im_start|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151645": { + "content": "<|im_end|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151646": { + "content": "<|object_ref_start|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151647": { + "content": "<|object_ref_end|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151648": { + "content": "<|box_start|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151649": { + "content": "<|box_end|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151650": { + "content": "<|quad_start|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151651": { + "content": "<|quad_end|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151652": { + "content": "<|vision_start|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151653": { + "content": 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"special": false + }, + "151660": { + "content": "<|fim_middle|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "151661": { + "content": "<|fim_suffix|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "151662": { + "content": "<|fim_pad|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "151663": { + "content": "<|repo_name|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "151664": { + "content": "<|file_sep|>", + "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 {%- else %}\n {{- 'You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within XML tags:\\n\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n\\n\\nFor each function call, return a json object with function name and arguments within XML tags:\\n\\n{\\\"name\\\": , \\\"arguments\\\": }\\n<|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nYou are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n\\n' }}\n {{- message.content }}\n {{- '\\n' }}\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{%- endif %}\n", + "clean_up_tokenization_spaces": false, + "eos_token": "<|im_end|>", + "errors": "replace", + "extra_special_tokens": {}, + "model_max_length": 8192, + "pad_token": "<|endoftext|>", + "padding_side": "right", + "split_special_tokens": false, + "tokenizer_class": "Qwen2Tokenizer", + "unk_token": null +} diff --git a/trainer_state.json b/trainer_state.json new file mode 100644 index 0000000..c164634 --- /dev/null +++ b/trainer_state.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7827fdfa097d7c068531877c887a85167a5a5cecb8ccf9398557e8482ada78a6 +size 1465321 diff --git a/training_args.bin b/training_args.bin new file mode 100644 index 0000000..ce0e69f --- /dev/null +++ b/training_args.bin @@ -0,0 +1,3 @@ +version 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