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Re:Llama.cpp: Full CUDA GPU Acceleration by lhl on Tuesday June 13, 2023 @03:56PM (#36316023)
I saw there was an answer already in your issue, although you plan on doing a lot of inferencing on your GPU, I'd highly recommend you consider dual-booting into Linux. It turns out exllama merged ROCm support last week and more than 2X faster than the CLBlast code. A 13b gptq model at full context clocks in at 15t/s on my old Radeon VII. (Rumor has it that ROCm 5.6 may add Windows support, although it remains to be seen what that exactly entails.)

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