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Upload configs/opd_12g.yaml with huggingface_hub

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+ # OPD 蒸馏 - 适配 12G 显存 (4070 Ti)
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+ # 将 SFT box 专家 + SFT point 专家蒸馏为统一模型
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+ # 按任务路由 teacher: counting/spatial→box, maze/path→point
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+ # 使用 forward KL + 温度缩放,student 从 pretrain 初始化
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+
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+ student_model: "outputs/sft_box/final"
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+ teacher_models:
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+ - "outputs/sft_box/final"
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+ - "outputs/sft_point/final"
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+ teacher_weights:
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+ - 0.5
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+ - 0.5
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+
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+ freeze_vision_tower: true
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+ freeze_llm: false
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+ torch_dtype: "bfloat16"
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+
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+ load_in_4bit: true
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+ load_in_8bit: false
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+
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+ datasets:
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+ - path: "data/sft/grounding/sft_grounding.jsonl"
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+ image_root: "data/coco/train/coco/train"
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+ task_type: "grounding"
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+ weight: 2.0
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+ - path: "data/sft/counting/counting_data.jsonl"
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+ image_root: "data/coco/train/coco/train"
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+ task_type: "counting"
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+ weight: 2.0
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+ - path: "data/sft/spatial/spatial_data.jsonl"
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+ image_root: "data/sft/spatial"
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+ task_type: "spatial"
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+ weight: 1.0
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+ - path: "data/sft/maze/maze_data.jsonl"
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+ image_root: "data/sft/maze"
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+ task_type: "maze"
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+ weight: 1.0
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+ - path: "data/sft/path/path_data.jsonl"
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+ image_root: "data/sft/path"
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+ task_type: "path"
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+ weight: 1.0
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+
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+ batch_size: 1
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+ gradient_accumulation_steps: 16
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+ epochs: 3
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+ learning_rate: 1.0e-6
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+ temperature: 1.0
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+ ce_coeff: 0.5
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+ weight_decay: 0.01
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+ warmup_ratio: 0.05
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+ max_length: 1024
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+ image_size: 336
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+ num_workers: 0
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+ save_every: 1
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+ device: "cuda"