compress_model appears to quantize the model by iterating through every module and quantizing them one by one. Maybe we can parallelize it. But also, our model is natively quantized. We shouldn't need to quantize it again, right? The weights are already in the quantized format. The function compress_model is called depending on if the config indicates the model is quantized, with no checks to see if it's already quantized. Well, let's try deleting the call to compress_model and see if the problem goes away and nothing else breaks.
3月16日消息，Meta计划在未来五年内，向人工智能公司Nebius投入高达270亿美元的资金。Meta承诺将额外购买Nebius高达150亿美元的计算能力。
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从写作、PPT到代码，各类通用型AI助理或AI办公应用已加速渗透年轻人的日常工作。据甲子智库的调研数据，AI产品目标用户的核心使用场景分别是“查、写、用、学”，四类场景都有一半左右的目标用户希望通过使用AI应用改变工作效率。，详情可参考谷歌
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The 17 artists who could be admitted to the prestigious US-based institution also range from Jeff Buckley and Lauryn Hill to Mariah Carey and Wu-Tang Clan.