Conversational Ability on Vicuna Eval (test)
8.91Vicuna Eval GPT-4 ScoreFAA
Evaluation Results
| Method | Links | |
|---|---|---|
| FAABackbone Model=Qwen2 7B, Trainable Parameters=7.30M2025.12 | 8.91 | |
| LoRABackbone Model=Qwen2 7B, Trainable Parameters=5.40M2025.12 | 8.89 | |
| FFBackbone Model=Qwen2 7B, Trainable Parameters=7.07B2025.12 | 8.88 | |
| FourierFTBackbone Model=Qwen2 7B, Trainable Parameters=0.85M2025.12 | 8.85 | |
| LoRABackbone Model=Deepseek R1-1.5B, Trainable Parameters=1.21M2025.12 | 8.85 | |
| FFBackbone Model=Deepseek R1-1.5B, Trainable Parameters=1.5B2025.12 | 8.83 | |
| AdapterHBackbone Model=Qwen2 7B, Trainable Parameters=7.29M2025.12 | 8.82 | |
| FourierFTBackbone Model=Deepseek R1-1.5B, Trainable Parameters=0.15M2025.12 | 8.82 | |
| FAABackbone Model=Deepseek R1-1.5B, Trainable Parameters=1.63M2025.12 | 8.82 | |
| AdapterHBackbone Model=Deepseek R1-1.5B, Trainable Parameters=1.63M2025.12 | 8.79 | |
| LoRABackbone Model=LLaMA3 8B, Trainable Parameters=6.47M2025.12 | 8.25 | |
| FourierFTBackbone Model=LLaMA3 8B, Trainable Parameters=0.91M2025.12 | 8.23 | |
| AdapterHBackbone Model=LLaMA3 8B, Trainable Parameters=8.73M2025.12 | 8.21 | |
| FAABackbone Model=LLaMA3 8B, Trainable Parameters=8.73M2025.12 | 8.19 | |
| FFBackbone Model=LLaMA3 8B, Trainable Parameters=8.03B2025.12 | 8.14 | |
| LoRABackbone Model=LLaMA2 7B, Trainable Parameters=5.37M2025.12 | 7.45 | |
| FourierFTBackbone Model=LLaMA2 7B, Trainable Parameters=0.82M2025.12 | 7.42 | |
| FAABackbone Model=LLaMA2 7B, Trainable Parameters=7.27M2025.12 | 7.4 | |
| FFBackbone Model=LLaMA2 7B, Trainable Parameters=6.94B2025.12 | 7.39 | |
| AdapterHBackbone Model=LLaMA2 7B, Trainable Parameters=7.27M2025.12 | 7.35 |