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support peft 0.3.0 #145

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support peft 0.3.0 #145

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6 changes: 2 additions & 4 deletions large_language_models/alpaca-qlora/qlora.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,7 @@
import torch.nn.functional as F
from utils import QuantLinear
from peft import PeftModel, PeftConfig, PeftModelForCausalLM, LoraModel
from peft.mapping import _prepare_lora_config, _prepare_prompt_learning_config
from peft.mapping import _prepare_prompt_learning_config
from peft.utils import PromptLearningConfig, _set_trainable, transpose
from peft.tuners.lora import LoraConfig, LoraLayer
from transformers.utils import PushToHubMixin
Expand Down Expand Up @@ -208,9 +208,7 @@ def get_peft_qmodel(model, peft_config):

model_config = model.config.to_dict()
peft_config.base_model_name_or_path = model.__dict__.get("name_or_path", None)
if not isinstance(peft_config, PromptLearningConfig):
peft_config = _prepare_lora_config(peft_config, model_config)
else:
if isinstance(peft_config, PromptLearningConfig):
peft_config = _prepare_prompt_learning_config(peft_config, model_config)
assert (
peft_config.task_type == "QUANT_CAUSAL_LM"
Expand Down