Interesting project. The headline number (29 GB of RAM) is for 4k context.
From what I've read elsewhere, Kimi K3 is quite verbose in its thinking. At the quoted rate, it would generate only a total of 1.8k tokens in 1 hour. Is that enough for it to get any thinking done and produce output on more complicated prompts?
I saw someone’s excellent idea that if you have a slow system like this, you should communicate by email. It is no longer meant for realtime iteration, but more pointed questions for which there is more effort and time expected on both parties.
0.5t/s is still too slow even for email. For a moderately large inquiry (1MTok output, let's ignore the 4k context window limitation for now) it'll take the model around 23 days or uninterrupted execution to answer a single email.
Real world inquiries are gonna be much slower of course, but this setup is still too slow to do anything meaningfully useful I think.
I’m sure it’s possible, but I really struggle to think of an example that would result in a 1m token output.