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https://github.com/hiyouga/LLaMA-Factory.git
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54 lines
2.0 KiB
Python
54 lines
2.0 KiB
Python
from typing import TYPE_CHECKING
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from transformers.integrations import is_deepspeed_zero3_enabled
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from transformers.utils.versions import require_version
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if TYPE_CHECKING:
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from transformers import PretrainedConfig, PreTrainedModel
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from ...hparams import ModelArguments
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def add_z3_leaf_module(model: "PreTrainedModel") -> None:
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r"""
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Sets module as a leaf module to skip partitioning in deepspeed zero3.
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"""
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if not is_deepspeed_zero3_enabled():
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return
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require_version("deepspeed>=0.13.0", "To fix: pip install deepspeed>=0.13.0")
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from deepspeed.utils import set_z3_leaf_modules # type: ignore
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if getattr(model.config, "model_type", None) == "mixtral":
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from transformers.models.mixtral.modeling_mixtral import MixtralSparseMoeBlock
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set_z3_leaf_modules(model, [MixtralSparseMoeBlock])
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if getattr(model.config, "model_type", None) == "qwen2moe":
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from transformers.models.qwen2_moe.modeling_qwen2_moe import Qwen2MoeSparseMoeBlock
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set_z3_leaf_modules(model, [Qwen2MoeSparseMoeBlock])
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if getattr(model.config, "model_type", None) == "jamba":
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from transformers.models.jamba.modeling_jamba import JambaSparseMoeBlock
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set_z3_leaf_modules(model, [JambaSparseMoeBlock])
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if getattr(model.config, "model_type", None) == "dbrx":
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from transformers.models.dbrx.modeling_dbrx import DbrxFFN
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set_z3_leaf_modules(model, [DbrxFFN])
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def configure_moe(config: "PretrainedConfig", model_args: "ModelArguments", is_trainable: bool) -> None:
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if model_args.moe_aux_loss_coef is not None:
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if getattr(config, "model_type", None) in ["jamba", "mixtral", "qwen2_moe"]:
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setattr(config, "router_aux_loss_coef", model_args.moe_aux_loss_coef)
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elif getattr(config, "model_type", None) == "deepseek":
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setattr(config, "aux_loss_alpha", model_args.moe_aux_loss_coef)
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if getattr(config, "model_type", None) in ["dbrx", "jamba", "mixtral", "qwen2_moe"]:
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setattr(config, "output_router_logits", is_trainable)
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