# from transformers import PreTrainedModel
from transformers.modeling_utils import PreTrainedModel
import torch
from torch import nn
from src_llm.configuration_dolly import DollyConfig
from src_llm.modeling_dolly import DollyModel
#从源码构建dolly模型
model = DollyModel(DollyConfig())
model.save_pretrained("weights_llm")
model.config.save_pretrained("weights_llm")
model_size = sum(t.numel() for t in model.parameters())
print(f"Model Size: {model_size/1000**2:.1f}M parameters")

#从配置文件和权重构建dolly模型
config = DollyConfig.from_pretrained("./my_model")
model = DollyModel.from_pretrained("./my_model", config=config)
input_ids = torch.tensor([[101, 1024, 102]]).long() 
outputs = model(input_ids)
print(outputs)