logoalt Hacker News

owaislonetoday at 4:39 PM2 repliesview on HN

Exciting! Maybe techniques like these can enable systems with 30-60GB memory and very fast SSDs of the future run very large models hopefully.


Replies

gitpusher42today at 4:42 PM

Yeah! Check the Colibri and Flash-MoE projects. They’re already doing that.

https://github.com/danveloper/flash-moe https://github.com/JustVugg/colibri

hacklastoday at 5:11 PM

How large?

With 64 GB of unified memory, you should be able to run a DeepSeek V4 Flash quantisation at 7–10 t/s, for example with: https://github.com/antirez/ds4 or https://github.com/steadfastgaze/MoEspresso (my engine).

The routed experts needed for the next tokens that are not already in memory need to be read from the SSD, so the speed becomes SSD reading bound and the larger the memory, the faster the inference.

show 2 replies