3.8F/N is amazing. Truly useful, runnable local AI on machines that are not ridiculously expensive. (I’m running it on 2x 3090 and 128gb of ram, on the quantum roughly equivalent to 5-K-M. fast, but you can run it on much less

This looks like it would actually work on my 64mb M1 MBP. That would be fantastic.

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jckahn 15 hours ago | parent [-]

We have different definitions of "ridiculously expensive." To me, more than $3k is ridiculously expensive. What you described sounds a lot more expensive than that.

	▲	Tade0 11 hours ago \| parent \| next [-]
		If you're only interested in coding tasks, this version of QFN will fit in 64GB RAM: https://huggingface.co/ISTA-DASLab/Qwen3.8-Flash-Next-GSQ-RC...
	▲	K0balt 12 hours ago \| parent \| prev \| next [-]
		When GPT4 ? 3.5? was all the rage, I started buying up AI gear because I saw memory starting to rise, so I bought 4x 3090s and 256gb of RAM, a couple mobos and some ryzen chips. I’m glad I did. It’s ridiculous that I could buy a decent used car for the price of this stuff now lol.
	▲	lowbloodsugar 11 hours ago \| parent \| prev [-]
		As a software professional, spending $8k on an RTX 6000 Blackwell was a reasonable investment in tools. I've learned so much, and now I have "free" Qwen3.8 Flash Next at NVFP4. I'm still using my M1 Macbook Max which was $5k. I don't think that's unreasonable money for a professional. Would I pay the current RTX 6000 price of $16k for the knowledge I've gained? I think I would. Luckily I got in early. Hobbyist, sure, too expensive for most? OTOH as a kid, my parents sweated to accumulate $5k worth of computer (and 5.25" drives!) in today's dollars, so that investment paid off.