Show HN: Run an 80B Qwen in 4.3 GB of RAM on a Mac, and a 35B on an iPhone
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Show HN: Run an 80B Qwen in 4.3 GB of RAM on a Mac, and a 35B on an iPhone
Unofficial Hacker News client; not affiliated with Y Combinator.
dghlsakjg · · focus · HN ↗
People will keep plugging away at this and figure out how to avoid wearing the hard drive, how to make it run faster, custom hardware buses etc.
Keep going! I personally can't wait for the day when a 1t param model runs off a $200 SSD instead of a $50k rack of Nvidia chips.
pizza234 · · focus · HN ↗
This is progress in the same way that a man climbing a tree is making progress toward reaching the moon.
This project is essentially the MoE-of-the day, with some platform-related optimizations.
> Keep going! I personally can't wait for the day when a 1t param model runs off a $200 SSD instead of a $50k rack of Nvidia chips.
That won't happen. Projects like this just give the illusion that that will be possible.
trymas · · focus · HN ↗
IMHO it’s a matter of time until we (consumers) will get the hardware (maybe coupled maybe even more novel techniques). Though I expect it will take another 10 years or more.
mv4 · · focus · HN ↗
This is why banning Chinese open-weight AI models is a major policy debate in Washington. The labs can't survive log-term without subsidies, and a ban can act as a subsidy.
trymas · · focus · HN ↗
Though my bet would be, if USA will go ultra protectionist in this regard - in 10-20 years most world will run Chinese LLMs and hardware for this purpose.