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applications/ColossalChat/rl_example_zero_bubble.py

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), # microbatch size should be set to train_microbatch_size // pp_size
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"zero_stage": args.zero_stage,
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"max_norm": 1.0,
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"num_layers_per_stage": [18, 10],
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# "num_layers_per_stage": [18, 10], # Example for 28 layers model with pp_size=2, set manually according to your model architecture
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}, # for pp, tp
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tokenizer_config={"path": args.tokenizer_path} if args.tokenizer_path else {"path": args.model},
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inference_backend=args.backend,

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