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https://github.com/hiyouga/LLaMA-Factory.git
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1fee69f874
* fix llamapro script * change year Former-commit-id: e2dc5b952aa22835d5220ba624f44676138b65ac
43 lines
1.4 KiB
Python
43 lines
1.4 KiB
Python
# Copyright 2025 the LlamaFactory team.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from typing import TYPE_CHECKING
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from ...extras.constants import MOD_SUPPORTED_MODELS
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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 load_mod_pretrained_model(**init_kwargs) -> "PreTrainedModel":
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from MoD import AutoMoDModelForCausalLM
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return AutoMoDModelForCausalLM.from_pretrained(**init_kwargs)
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def convert_pretrained_model_to_mod(
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model: "PreTrainedModel", config: "PretrainedConfig", model_args: "ModelArguments"
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) -> "PreTrainedModel":
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from MoD import apply_mod_to_hf
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if getattr(config, "model_type", None) not in MOD_SUPPORTED_MODELS:
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raise ValueError("Current model is not supported by mixture-of-depth.")
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model = apply_mod_to_hf(model)
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model = model.to(model_args.compute_dtype)
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return model
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