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.
"We are absolutely committed to working openly, honestly and transparently with Donna Ockenden and the review team, and with families who have used our services", Brown said.，更多细节参见whatsapp
# ALLOWED_USERS=123456789 # 你的 Telegram User ID（逗号分隔多用户）。业内人士推荐手游作为进阶阅读
«Приоритет партнеров и все внимание — ситуации вокруг Ирана, и поэтому встреча, которая планировалась на эту неделю по предложению американской стороны откладывается», — заявил украинский лидер.。业内人士推荐wps作为进阶阅读
研究涵蓋29國受訪者；整體而言，英國的性別觀念較本研究的各國平均更為進步。