train_weak_to_strong.py [65:75]:
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        default_lr=1e-5,
        eval_batch_size=2,
        gradient_checkpointing=True,
        model_parallel=True,
        # note: you will probably not be able to run this without many gpus
        custom_kwargs={
            "trust_remote_code": True,
            "torch_dtype": torch.bfloat16 if torch.cuda.is_bf16_supported() else torch.float32,
        },
    ),
    ModelConfig(
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train_weak_to_strong.py [77:87]:
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        default_lr=1e-5,
        eval_batch_size=2,
        gradient_checkpointing=True,
        model_parallel=True,
        # note: you will probably not be able to run this without bf16 support and many gpus
        custom_kwargs={
            "trust_remote_code": True,
            "torch_dtype": torch.bfloat16 if torch.cuda.is_bf16_supported() else torch.float32,
        },
    ),
    ModelConfig(
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