| ▲ | sho 4 hours ago | |||||||
The joke is that macs are famously slow at prompt prefill and you are not getting anything back in 3 seconds, or probably even 30. Once they get generating, it can be acceptable, but the TTFT is horrendous. There's a ton of well-understood things Apple can and hopefully will do to massively accelerate every stage of this pipeline and hopefully they're hard at work implementing most of them for m7. | ||||||||
| ▲ | EagnaIonat an hour ago | parent [-] | |||||||
> The joke is that macs are famously slow at prompt prefill and you are not getting anything back in 3 seconds. Your knowledge is out of date. In truth it depends on the Mac and the models used. I asked this question on M5 Max 128GB, using Ollama model Quen3.8:27b-mlx, with thinking enabled. Question: "Give me a python code snippet that opens a file and sorts the lines of text. " In 2.4 seconds it gave me 4 examples that work with different sorting configurations and a summary of when to use each. Compare that to an older model of gpt-oss:20b, took 5 seconds to finish thinking and 2 seconds to stream the answer. It gave me one python example snippet and two one liners that do the same thing. | ||||||||
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