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Qwen/Qwen2.5-3B-Instructr=32, alpha=64, dropout=0.05, target=全部 proj 层),PEFT 0.20.01from peft import PeftModel
2from transformers import AutoModelForCausalLM, AutoTokenizer
3
4model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-3B-Instruct")
5model = PeftModel.from_pretrained(model, "Oplus7/LoRA-ps-helper")
6tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen2.5-3B-Instruct")Oplus7/LoRA-ps-helper-GGUF。qwen2.5:3b),30 条测试集,temperature=0:| 指标 | 微调 | 基座 | 差值 |
|---|---|---|---|
| 命令/参数覆盖率 | 65.3% | 54.2% | +11.1pt |
| ROUGE-L | 46.4% | 28.5% | +17.9pt |
| 逐条胜负 | 29 胜 | 1 负 | — |