mirror of
https://github.com/hiyouga/LLaMA-Factory.git
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61 lines
2.1 KiB
Python
61 lines
2.1 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 dataclasses import dataclass, field
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from .arg_utils import ModelClass, PluginConfig, get_plugin_config
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@dataclass
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class ModelArguments:
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model: str = field(
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default="Qwen/Qwen3-4B-Instruct-2507",
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metadata={"help": "Path to the model or model identifier from Hugging Face."},
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)
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template: str = field(
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default="qwen3_nothink",
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metadata={"help": "Template for the model."},
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)
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trust_remote_code: bool = field(
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default=False,
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metadata={"help": "Trust remote code from Hugging Face."},
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)
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model_class: ModelClass = field(
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default=ModelClass.LLM,
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metadata={"help": "Model class from Hugging Face."},
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)
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init_config: PluginConfig | None = field(
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default=None,
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metadata={"help": "Initialization configuration for the model."},
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)
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peft_config: PluginConfig | None = field(
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default=None,
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metadata={"help": "PEFT configuration for the model."},
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)
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kernel_config: PluginConfig | None = field(
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default=None,
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metadata={"help": "Kernel configuration for the model."},
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)
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quant_config: PluginConfig | None = field(
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default=None,
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metadata={"help": "Quantization configuration for the model."},
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)
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def __post_init__(self) -> None:
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self.init_config = get_plugin_config(self.init_config)
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self.peft_config = get_plugin_config(self.peft_config)
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self.kernel_config = get_plugin_config(self.kernel_config)
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self.quant_config = get_plugin_config(self.quant_config)
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