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Added notes due to recent peft update.
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Ren Xuancheng
2024-02-01 20:41:31 +08:00
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@@ -693,6 +693,8 @@ model = AutoPeftModelForCausalLM.from_pretrained(
).eval()
```
> NOTE: If `peft>=0.8.0`, it will try to load the tokenizer as well, however, initialized without `trust_remote_code=True`, leading to `ValueError: Tokenizer class QWenTokenizer does not exist or is not currently imported.` Currently, you could downgrade `peft<0.8.0` or move tokenizer files elsewhere to workaround this issue.
If you want to merge the adapters and save the finetuned model as a standalone model (you can only do this with LoRA, and you CANNOT merge the parameters from Q-LoRA), you can run the following codes:
```python