swift/model/models/skywork.py

# Copyright (c) ModelScope Contributors. All rights reserved.

from transformers import PretrainedConfig
from typing import Any, Dict

from swift.template import TemplateType
from swift.utils import Processor
from ..constant import LLMModelType, RMModelType
from ..model_arch import ModelArch
from ..model_meta import Model, ModelGroup, ModelMeta
from ..register import ModelLoader, register_model


class SkyworkLoader(ModelLoader):

    def get_processor(self, model_dir: str, config: PretrainedConfig) -> Processor:
        tokenizer = super().get_processor(model_dir, config)
        tokenizer.add_tokens('[USER]')
        tokenizer.add_tokens('[BOT]')
        tokenizer.add_tokens('[SEP]')
        return tokenizer


register_model(
    ModelMeta(
        LLMModelType.skywork,
        [
            ModelGroup([
                Model('skywork/Skywork-13B-base', 'skywork/Skywork-13B-base'),
                Model('skywork/Skywork-13B-chat'),
            ]),
        ],
        template=TemplateType.skywork,
        architectures=['SkyworkForCausalLM'],
        model_arch=ModelArch.llama,
    ))

register_model(
    ModelMeta(
        RMModelType.llama3_2_reward,
        [
            ModelGroup([
                Model('AI-ModelScope/Skywork-Reward-Llama-3.1-8B', 'Skywork/Skywork-Reward-Llama-3.1-8B'),
                Model('AI-ModelScope/Skywork-Reward-Llama-3.1-8B-v0.2', 'Skywork/Skywork-Reward-Llama-3.1-8B-v0.2'),
            ]),
            ModelGroup([
                Model('AI-ModelScope/GRM_Llama3.1_8B_rewardmodel-ft', 'Ray2333/GRM_Llama3.1_8B_rewardmodel-ft'),
                Model('AI-ModelScope/GRM-llama3.2-3B-rewardmodel-ft', 'Ray2333/GRM-llama3.2-3B-rewardmodel-ft'),
            ])
        ],
        template=TemplateType.llama3_2,
        requires=['transformers>=4.43'],
        architectures=['LlamaForSequenceClassification'],
        model_arch=ModelArch.llama,
    ))

register_model(
    ModelMeta(
        RMModelType.gemma_reward,
        [
            ModelGroup([
                Model('AI-ModelScope/Skywork-Reward-Gemma-2-27B', 'Skywork/Skywork-Reward-Gemma-2-27B'),
                Model('AI-ModelScope/Skywork-Reward-Gemma-2-27B-v0.2', 'Skywork/Skywork-Reward-Gemma-2-27B-v0.2'),
            ]),
        ],
        template=TemplateType.gemma,
        requires=['transformers>=4.42'],
        architectures=['Gemma2ForSequenceClassification'],
        model_arch=ModelArch.llama,
    ))