I tried the FP8 in vLLM on my Spark and although it fit in memory, I started swapping once I actually tried to run any queries, and, yeah, could not have a context larger than 8k.
I figured out later this is because vLLM apparently de-quantizes to BF16 at runtime, so pointless to run the FP8?
I get about 30-35 tok/second using llama.cpp and a 4-bit quant. And a 200+k context, using only 50GB of RAM.
I figured out later this is because vLLM apparently de-quantizes to BF16 at runtime, so pointless to run the FP8?
I get about 30-35 tok/second using llama.cpp and a 4-bit quant. And a 200+k context, using only 50GB of RAM.