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Qwen3-VL

qwen.ai

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Re: Qwen3-VL

#71

Post by mmmllm »

brookst wrote: post #62
binary132 wrote: post #24

Earlier quoted context omitted.

Surprising this is the first time I’ve seen anyone say this out loud.

Because it doesn’t make sense. The reason there’s a bubble is investor belief that AI will unlock tons of value. The reason the bubble is concentrated in silicon and model providers is because investors believe they have the most leverage to monetize this new value in the short term. If all of that stuff becomes free, the money will just move a few layers up to all of the companies whose cost structure has suddenly b…

But the spend on AI is globally is still measured in the tens of billions? Tiny in the grand scheme of things. So what 'money' is moving up? Not revenue, and in the case of a bubble bursting, not speculative capital.

Re: Qwen3-VL

#72

Post by Jackson__ »

Workaccount2 wrote: post #54

Sadly it still fails the "extra limb" test. I have a few images of animals with an extra limb photoshopped onto them. A dog with an leg coming out of it's stomach, or a cat with two front right legs. Like every other model I have tested, it insists that the animals have their anatomically correct amount of limbs. Even pointing out there is a leg coming from the dogs stomach, it will push back and insist I am confused…

It fails on any edge case, like all other VLMs. The last time a vision model succeeded at reading analog clocks, a notoriously difficult task, it was revealed they trained on nearly 1 million artificial clock images[0] to make it work. In a similar vein, I have encountered no model that could read for example a D20 correctly.[1]

It could probably identify extra limbs in your pictures if you too made a million example images to train it on, but until then it will keep failing. And of course you'll get to keep making millions more example images for every other issue you run into.

[0] https://huggingface.co/datasets/allenai/pixmo-clocks

[1] https://files.catbox.moe/ocbr35.jpg

Re: Qwen3-VL

#73

Post by [deleted] »

baby_souffle wrote: post #48
unixhero wrote: post #47

Earlier quoted context omitted.

So where did you load up Qwen and how did you supply the pdf or photo files? I don't know how to use these models, but want to learn

LM Studio[0] is the best "i'm new here and what is this!?" tool for dipping your toes in the water. If the model supports "vision" or "sound", that tool makes it relatively painless to take your input file + text and feed it to the model. [0]: https://lmstudio.ai/

[deleted]

Re: Qwen3-VL

#74

Post by fareesh »

Can't seem to connect to qwen.ai with DNSSEC enabled

> resolvectl query qwen.ai > qwen.ai: resolve call failed: DNSSEC validation failed: no-signature

And

https://dnsviz.net/d/qwen.ai/dnssec/ shows

aliyunga0019.com/DNSKEY: No response was received from the server over UDP (tried 4 times). See RFC 1035, Sec. 4.2. (8.129.152.246, UDP_-_EDNS0_512_D_KN)

Re: Qwen3-VL

#75

Post by alfiedotwtf »

helloericsf wrote: post #19

If you're in SF, you don't want to miss this. The Qwen team is making their first public appearance in the United States, with the VP of Qwen Lab speaking at the meetup below during SF teach week. https://partiful.com/e/P7E418jd6Ti6hA40H6Qm Rare opportunity to directly engage with the Qwen team members.

Let’s hope they’re allowed in the country and get a visa… it’s 50/50 these days

Re: Qwen3-VL

#76

Post by unixhero »

baby_souffle wrote: post #48
unixhero wrote: post #47

Earlier quoted context omitted.

So where did you load up Qwen and how did you supply the pdf or photo files? I don't know how to use these models, but want to learn

LM Studio[0] is the best "i'm new here and what is this!?" tool for dipping your toes in the water. If the model supports "vision" or "sound", that tool makes it relatively painless to take your input file + text and feed it to the model. [0]: https://lmstudio.ai/

Thank you! I will give it a try and see if I can get that 4090 working a bit.

Re: Qwen3-VL

#77

Post by Mashimo »

nl wrote: post #35
deepdarkforest wrote: post #8

The Chinese are doing what they have been doing to the manufacturing industry as well. Take the core technology and just optimize, optimize, optimize for 10x the cost/efficiency. As simple as that. Super impressive. These models might be bechmaxxed but as another comment said, i see so many that it might as well be the most impressive benchmaxxing today, if not just a genuinely SOTA open source model. They even relea…

> Take the core technology and just optimize, optimize, optimize for 10x the cost/efficiency. As simple as that. Super impressive. This "just" is incorrect. The Qwen team invented things like DeepStack https://arxiv.org/abs/2406.04334 (Also I hate this "The Chinese" thing. Do we say "The British" if it came from a DeepMind team in the UK? Or what if there are Chinese born US citizens working in Paris for Mistral? Giv…

> Do we say "The British"

Yes.

Re: Qwen3-VL

#79

Post by vardump »

So 235B parameter Qwen3-VL is FP16, so practically it requires at least 512 GB RAM to run? Possibly even more for a reasonable context window?

Assuming I don’t want to run it on a CPU, what are my options to run it at home under $10k?

Or if my only option is to run the model with CPU (vs GPU or other specialized HW), what would be the best way to use that 10k? vLLM + Multiple networked (10/25/100Gbit) systems?

Re: Qwen3-VL

#80

Post by cedws »

ReverseCold wrote: post #65
cedws wrote: post #60

Earlier quoted context omitted.

Arguably they’ve already won. Check the names at the top the next time you see a paper from an American company, a lot of them are Chinese.

you can’t tell if someone is American or Chinese by looking at their name I actually claim something even stronger, which is it’s what’s in your heart that really determines if you’re American :)

Cute but the US president is currently on a mass deportation campaign, so it appears what's in peoples' hearts doesn't really matter.
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