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{
  "model": "Qwen/Qwen2.5-VL-7B-Instruct",
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  "max_memory": {},
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  "template": "qwen2_5_vl",
  "system": "You are a Multifaceted Mobile Interface Assistant. Your responsibilities include:\n\n- 1. Navigating a mobile phone interface to reach a target page based on user instructions, task history, and the current screen state.\n- 2. Understanding icons by identifying their name or function based on their location on the screen.\n- 3. Grounding icons by locating the coordinates of an icon based on its name or description.\n\nYou will receive input that typically includes:\n\n- User Request: Specifies the goal (navigation, understanding, or grounding). This might be a complex instruction for navigation or a direct question/command for icon tasks.\n- Task History (Optional, primarily for Navigation): Records previous steps.\n- Current Screen State: Represents the current screen, an image (indicated by <image>).\n\nBased on the user request and the current screen state (and history if applicable), you must first determine the type of task requested and then provide the appropriate output.\n\n--- Task Types and Output Formats ---\n\n1. Task: Navigation\n\n- Goal: Reach a target page step-by-step.\n- Typical Input: Multi-turn instruction, history, and state. screen description and screenshot.\n- Possible Actions:\n  - click: Tap a specific element. Provide coordinates (x, y) relative to a (0,0) top-left and (1000,1000) bottom-right system.\n  - complete: Task finished, current screen is the target.\n- Output Format:\nExplain: [Your brief explanation, e.g., 'click xxx icon on yyy page.', 'this is the target page.']\tAction: [click(start_box=<|box_start|>(x,y)<|box_end|>) or complete]\n\n2. Task: Icon Grounding (Locating an Icon)\n\n- Goal: Identify the coordinates of a requested icon.\n- Typical Input: User request like \"Click on [icon name/description] in the image.\", screen image (<image>).\n- Action: Implicitly click (meaning \"identify location\").\n- Output Format:\nAction: click(start_box=<|box_start|>(x,y)<|box_end|>)\n\n3. Task: Icon Understanding (Identifying an Icon)\n\n- Goal: Provide the name or function of an icon at given coordinates.\n- Typical Input: User request like \"What is the icon at point (x, y) in the image?\", screen image (<image>).\n- Action: Provide textual information.\n- Output Format:\n[Icon Name or Description]\n\n--- General Instructions ---\n\n- Carefully analyze the user request to determine the task (Navigation, Grounding, Understanding).\n- Analyze the current screen state (description or image) thoroughly.\n- For actions involving coordinates (click), use the (0,0) to (1000,1000) system.\n- Strictly adhere to the specified output format for the determined task type. Use a tab character (\\t) as a separator where indicated.",
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  "overwrite_output_dir": false,
  "do_train": false,
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  "log_level": "passive",
  "log_level_replica": "warning",
  "log_on_each_node": true,
  "logging_dir": "/ext_hdd2/nhkoh/gelab-env/checkpoint/gui_exp/sft_448/v0-20260221_074940/runs",
  "logging_strategy": "steps",
  "logging_first_step": true,
  "logging_steps": 10,
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  "save_total_limit": 2,
  "save_safetensors": true,
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    "zero_optimization": {
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      "offload_optimizer": {
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        "pin_memory": true
      },
      "allgather_partitions": true,
      "allgather_bucket_size": 200000000.0,
      "overlap_comm": false,
      "reduce_scatter": true,
      "reduce_bucket_size": 200000000.0,
      "contiguous_gradients": true
    },
    "gradient_accumulation_steps": "auto",
    "gradient_clipping": "auto",
    "steps_per_print": 2000,
    "train_batch_size": "auto",
    "train_micro_batch_size_per_gpu": "auto",
    "wall_clock_breakdown": false
  },
  "label_smoothing_factor": 0.0,
  "optim": "adamw_torch_fused",
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  "adafactor": false,
  "group_by_length": false,
  "length_column_name": "length",
  "report_to": [
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  "hub_strategy": "every_save",
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  "eval_do_concat_batches": true,
  "fp16_backend": "auto",
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  "mp_parameters": "",
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  "ray_scope": "last",
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  "include_tokens_per_second": false,
  "include_num_input_tokens_seen": false,
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  "eval_on_start": false,
  "use_liger_kernel": false,
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  "average_tokens_across_devices": true,
  "sortish_sampler": false,
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  "check_model": true,
  "acc_strategy": "token",
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    "visual.merger"
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  "global_world_size": 3,
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  "model_suffix": "Qwen2.5-VL-7B-Instruct",
  "model_info": "ModelInfo(model_type='qwen2_5_vl', model_dir='/ext_hdd2/nhkoh/.cache/huggingface/hub/models--Qwen--Qwen2.5-VL-7B-Instruct/snapshots/cc594898137f460bfe9f0759e9844b3ce807cfb5', torch_dtype=torch.bfloat16, max_model_len=128000, quant_method=None, quant_bits=None, rope_scaling={'type': 'default', 'mrope_section': [16, 24, 24], 'rope_type': 'default'}, config=None, task_type='causal_lm', num_labels=None)",
  "model_meta": "ModelMeta(model_type='qwen2_5_vl', model_groups=[ModelGroup(models=[Model(ms_model_id='Qwen/Qwen2.5-VL-3B-Instruct', hf_model_id='Qwen/Qwen2.5-VL-3B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-VL-7B-Instruct', hf_model_id='Qwen/Qwen2.5-VL-7B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-VL-32B-Instruct', hf_model_id='Qwen/Qwen2.5-VL-32B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-VL-72B-Instruct', hf_model_id='Qwen/Qwen2.5-VL-72B-Instruct', model_path=None, ms_revision=None, hf_revision=None)], ignore_patterns=None, requires=None, tags=[]), ModelGroup(models=[Model(ms_model_id='Qwen/Qwen2.5-VL-3B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-VL-3B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-VL-7B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-VL-7B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-VL-32B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-VL-32B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-VL-72B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-VL-72B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None)], ignore_patterns=None, requires=None, tags=[])], template='qwen2_5_vl', get_function=<function get_model_tokenizer_qwen2_5_vl at 0x7f3a14f0dcf0>, model_arch='qwen2_vl', architectures=['Qwen2_5_VLForConditionalGeneration'], additional_saved_files=[], torch_dtype=None, is_multimodal=True, is_reward=False, task_type=None, ignore_patterns=None, requires=['transformers>=4.49', 'qwen_vl_utils>=0.0.6', 'decord'], tags=[])",
  "model_dir": "/ext_hdd2/nhkoh/.cache/huggingface/hub/models--Qwen--Qwen2.5-VL-7B-Instruct/snapshots/cc594898137f460bfe9f0759e9844b3ce807cfb5",
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}