alt Hacker NewsIt should be faster, Q6 on Ryzen 395 using Vulkan llama.cpp is about 22 tokens/s with no MTP, and I'd expect the Spark to be 20% faster or something in that neighborhood.
It should be faster, Q6 on Ryzen 395 using Vulkan llama.cpp is about 22 tokens/s with no MTP, and I'd expect the Spark to be 20% faster or something in that neighborhood.
Probably. I've spent zero time with optimization at this point. Code is all new this morning.
Curious if llama.cpp is doing full BF16 for the n-gram embeddings table, or if that's quantized, too. I was going to try nvfp4 for that but wasn't sure about the quality risk.
Spark usually wins on prefill, not decode. I think memory bandwidth is about same between the two. What do you get for prefill/prompt?