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Re:Is LMDeploy the Ultimate Solution? Why It Outshines VLLM,... by ssheng on Thursday June 20, 2024 @12:04PM (#40740252)
How does Exllama rank among these? Heard good things about it.
Re:Is LMDeploy the Ultimate Solution? Why It Outshines VLLM,... by helloericsf on Thursday June 20, 2024 @12:22PM (#40740439)
Seems interesting! https://github.com/turboderp/exllama "A more memory-efficient rewrite of the HF transformers implementation of Llama for use with quantized weights."
Re:Is LMDeploy the Ultimate Solution? Why It Outshines VLLM,... by helloericsf on Thursday June 20, 2024 @12:28PM (#40740499)
4-bit quantization tends to come at the cost of output quality losses. https://github.com/ggerganov/llama.cpp/issues/9
Re:Is LMDeploy the Ultimate Solution? Why It Outshines VLLM,... by ssheng on Thursday June 20, 2024 @01:00PM (#40740836)
Quality loss with quantization is expected. It seems like with GPTQ the loss is within acceptable range based on the perplexity score shown.