LocalLLaMA
Welcome to LocalLLaMA! Here we discuss running and developing machine learning models at home. Lets explore cutting edge open source neural network technology together.
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That is correct, but you might be missing why this is useful. MoE models are great for CPU inference, which is considerably cheaper than GPU inference at scale. The qwen 30b_a3b MoE and 8b dense models were widely considered similar in quality. If you have the vram, the 8b would be faster. If you don't, then the 30b would be faster (as long as you had the ~19-22gb of ram required)
A very inexpensive used server with lots of memory channels but no gpu can do very cost-efficent inference in this scenario and loads of people are asking for this.
Fantastic explaination, thank you
So not an AMD AM5 dual-channel system. 😅
Fast ddr5 /strix halo would probably be passable for a patient single-user but yeah not really the target audience here for sure.