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.
03:31, 12 марта 2026Путешествия
，更多细节参见51吃瓜
A very concrete method on how to approach reusability can be found in Siedersleben's blood group law. This principle is part of the "Quasar architecture style" (see references below). In contrast to other vague guidelines, I find this very easy to apply in practice.。手游对此有专业解读
どうなる？世界経済 イラン情勢で大荒れか 進路未だ見えず。新闻对此有专业解读