新闻
Three Tests to Run Before You Switch from LoRA to FullFT
Fireworks AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- Fireworks AI tested whether LoRA gaps versus full fine-tuning stem from data coverage, learning rate tuning, or adapter rank limits.
- 为何重要
- Engineers choosing between LoRA and full fine-tuning should run these three tests before assuming full fine-tuning is necessary.
- 注意
- Test results are task-specific on Qwen3.5-9B; findings may not generalize to other models, domains, or your specific use case.
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- lora
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