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Anthropic logged net loss of over $80 billion in first half of 2026 (www.reuters.com)
submitted 4 days ago by panos@catodon.rocks to c/technology@lemmy.world
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[-] elucubra@sopuli.xyz 1 points 4 days ago

How do you run qwen 3.8 flash next on 16gb vram, if you don't mind me asking ?

[-] Seralth@piefed.seralth.com 4 points 4 days ago

At 3 tokens a second and calling it useble I would guess?

I see people claiming that shit all the time and it's baffling.

[-] chrisashtear@lemmy.zip 2 points 4 days ago

They said 50- i looked up strata, and it uses smaller quantizations/optimizations of that model depending on your system.

I have 48g vram and 192g system ram and get ~15t/s on qwen 3.8 flash next at Q4. Off the top of my head. I think Q6 is 12.

[-] Seralth@piefed.seralth.com 1 points 3 days ago

I started looking into it finally after making that comment and came across strata come back here and everyone is saying strata. I guess im trying strata?

[-] jaschen306@sh.itjust.works 1 points 3 days ago

https://sh.itjust.works/comment/28041846

Try it out and let me know if you can get higher.

[-] jaschen306@sh.itjust.works 1 points 3 days ago

https://sh.itjust.works/comment/28041846

I didn't believed it until I started using it.

[-] humanspiral@lemmy.ca 1 points 3 days ago

need 64gb of system ram. qwen next architecture uses smaller experts than others, and it can keep up with ram swap. I believe it uses a file on disk (ngram) to predict what experts will be needed.

[-] jaschen306@sh.itjust.works 1 points 3 days ago

https://github.com/niko1221/strata

The model I'm using is a Q4. Unsloth UD-IQ4_XS

this post was submitted on 20 Oct 2026
1087 points (99.5% liked)

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