from peft import get_peft_config, get_peft_model, LoraConfig, TaskType model_name_or_path = "bigscience/mt0-large" tokenizer_name_or_path = "bigscience/mt0-large" # 配置peft参数 peft_config = LoraConfig( task_type=TaskType.SEQ_2_SEQ_LM, inference_mode=False, r=8,lora_alpha=32, ...
引进必要的库 from transformers import AutoModelForSeq2SeqLM+ from peft import get_peft_model, LoraConfig, TaskType model_name_or_path = "bigscience/mt0-large" tokenizer_name_or_path = "bigscience/mt0-large"创建PEFT方法对应的配置 peft_config = LoraConfig( task_type=TaskType.SEQ_2_...
peft_type (Union[[`~peft.utils.config.PeftType`], `str`]): The type of Peft method to use. task_type (Union[[`~peft.utils.config.TaskType`], `str`]): The type of task to perform. inference_mode (`bool`, defaults to `False`): Whether to use the Peft model in inference mode...
TaskType model_name_or_path = "bigscience/mt0-large" tokenizer_name_or_path = "bigscience/mt...
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lora_dropout=0.1) elif peft_type == PeftType.LORA: peft_config = AdaLoraConfig(task_type="SEQ_CLS", inference_mode=False, r=8, lora_alpha=16, lora_dropout=0.1, target_modules=["query", "value"]) else: # 不支持的模型参考如下修改 peft_config = AdaLoraConfig(task_type="SEQ_CLS",...
from peft import LoraConfig, get_peft_model, TaskType # 定义LoRA配置 lora_config = LoraConfig( r=16, lora_alpha=16, target_modules=["q_proj", "v_proj"], lora_dropout=0.1, bias="none", ) # 添加LoRA adaptor model = get_peft_model(model, lora_config) ...
peft_config=LoraConfig(task_type=TaskType.CAUSAL_LM,target_modules=module_dict[model_type],inference_mode=False,r=1,lora_alpha=32,lora_dropout=0.1, )self.llm=get_peft_model(self.llm,peft_config)print("Model Type: {}".format(type(self.llm)))self.llm.print_trainable_parameters() ...
TaskType from transformers import LlamaForSequenceClassification import torch.multiprocessing torch.multiprocessing.set_sharing_strategy('file_system') peft_config = LoraConfig( task_type=TaskType.SEQ_CLS, inference_mode=False, r=8, lora_alpha=32, lora_dropout=0.1, target_modules = ["q_proj", "...
fromtransformersimportAutoModelForSeq2SeqLMfrompeftimportget_peft_config, get_peft_model, LoraConfig, TaskType model_name_or_path ="bigscience/mt0-large"tokenizer_name_or_path ="bigscience/mt0-large"peft_config = LoraConfig( task_type=TaskType.SEQ_2_SEQ_LM, inference_mode=False, r=8, lo...