使用HF的接口很方便地对RWKV在Alpaca格式数据集上进行全量微调及部署服务
底座模型：RWKV-430M-pile（sgugger/rwkv-430M-pile）
数据集：test.json，测试用
硬件设备：4090单卡，64G内存
训练轮数：100轮
训练耗时：5分钟左右
HF空间：https://huggingface.co./spaces/StarRing2022/Rwkv-430M-pile-Alpaca-Run
GIT开源地址：https://github.com/StarRing2022/HF-For-RWKVRaven-Alpaca/
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