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I'm not getting anywhere near the speeds advertised on my 3090 Ti, alas, but it's fun watching it "fill out" its answers. I did Simon's "SVG pelican on a bicycle" test on it and the result was quite minimalistic but fit the brief: https://gist.github.com/peterc/7672e74ec1437945e5fca5ce2c1c9... -- this was on the Q4 quant running on patched llama.cpp. I will be interested to see if Simon's looks much different.


Hi! What implementation are you using? Right now VLLM is the one recommended. llama.cpp is in an early draft

Yeah, the patched llama.cpp. The reason is I saw that using the Q4 quant on vLLM is discouraged and the int8 won't fit on my 3090 Ti, but I could certainly give it a go. I also skipped Transformers as it needs to download the full weights and quantize them locally and I didn't fancy waiting for a 50GB download.



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