加载预训练模型时出现RuntimeError: Error(s) in loading state_dict for PeftModelForCausalLM错误通常是由于模型结构和加载的状态字典不匹配所致。通过检查模型结构、预训练模型的来源、模型权重与结构的匹配性,并使用部分加载或自定义模型层的方法,你可以解决这个问题。如果问题仍然存在,你可能需要寻求社区或官方支持,...
from peft.utils.other import fsdp_auto_wrap_policy ... ifos.environ.get("ACCELERATE_USE_FSDP", None) is not None: accelerator.state.fsdp_plugin.auto_wrap_policy = fsdp_auto_wrap_policy(model) model = accelerator.prepare(model) Example of parameter efficient tuning withmt0-xxlbase model usin...
UNet2DConditionModel, ) from diffusers.loaders import LoraLoaderMixin from diffusers.models.lora import LoRALinearLayer from diffusers.optimization import get_scheduler from diffusers.training_utils import compute_snr, unet_lora_state_dict from diffusers.training_utils import compute_snr from diffusers.util...
PeftType import torch from datasets import load_dataset import os from torch.utils.data import Data...
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning. - peft/src/peft/peft_model.py at 5a0e19dda1048ff8caaa12970ba7574f9cdfbf76 · awesome-software/peft
PeftModel, PrefixTuningConfig, PromptEncoderConfig, PromptLearningConfig, PromptTuningConfig, get_peft_model, get_peft_model_state_dict, prepare_model_for_int8_training, ) from peft.tuners.lora import LoraLayer from peft.utils import _get_submodules, infer_device CONFIG...
遇到“RuntimeError: error(s) in loading state dict for PEFTModelForCausalLM”这类错误时,通常意味着在加载预训练模型的状态字典(state_dict)时遇到了问题。这可能是由于多种原因导致的,比如模型定义与状态字典不匹配、状态字典中的键与模型架构中的键不一致等。下面我将按照你提供的提示,逐一分析并给出可能的...
from torch.utils.data import Dataset from torchvision import transforms from tqdm.auto import tqdm from transformers import AutoTokenizer, PretrainedConfig from peft import LoraConfig, get_peft_model # Will error if the minimal version of diffusers is not installed. Remove at your own risks...
from peft import get_peft_config, get_peft_model, get_peft_model_state_dict, LoraConfig, TaskTypeimport torchfrom datasets import load_datasetimport osos.environ["TOKENIZERS_PARALLELISM"] ="false"from transformers import AutoTokenizerfrom torch.utils.data import DataLoaderfrom transformers import defau...
utils.data import Dataset from torchvision import transforms from tqdm.auto import tqdm from transformers import AutoTokenizer, PretrainedConfig from peft import LoraConfig, LoraModel, get_peft_model_state_dict # Will error if the minimal version of diffusers is not installed. Remove at your own ...