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llama_quant.py 用datasets进行评估的意义 #20
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1)我们也发现了这个问题 ,量化后的评估占据了大部分时间,并在第一时间更新了tools/readme.md python llama_quant.py decapoda-research/llama-7b-hf c4 --wbits 2 --save pyllama-7B2b.pt --eval 2)中文数据评估暂未考虑 |
你好,llama_quant.py 439 line 中 449行 dataloader 的作用是啥呀,为啥这里也要引入数据集呢 |
1.量化过程中,需要将数据输入到模型中以确定放缩系数(scale)和上下界(max ,min)。 |
好的谢谢 |
1)我看使用英文的数据集来评估的,可以省略这一步吗
2)如何用自己的数据集进行评估呢
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