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QwQ: Alibaba's O1-like reasoning LLM

qwenlm.github.io

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Re: QwQ: Alibaba's O1-like reasoning LLM

#111
post #65

Earlier quoted context omitted.

Why so?

Because training usually requires bigger batches, doing a backward pass instead of just the forward pass, storing optimizer states in memory etc. This means it takes a lot more RAM than inference, so much more that you can't run it on a single GPU. If you're training on more than one GPU, the speed at which you can exchange data between them suddenly becomes your bottleneck. To alleviate that problem, you need extrem…

But does this prevent usage of cluster or consumer GPUs to be used in training? Or does it just make it slower and less efficient?

Those are real questions and not argumentative questions.

Re: QwQ: Alibaba's O1-like reasoning LLM

#113
post #18

Earlier quoted context omitted.

Weird, Gemini answers that just fine. What good is an LLM that has amnesia about history?

From the link > Performance and Benchmark Limitations: The model excels in math and coding but has room for improvement in other areas, such as common sense reasoning and nuanced language understanding.

Oh, so they made an autistic LLM

Re: QwQ: Alibaba's O1-like reasoning LLM

#115
post #50

Somehow o1-preview did not find the answer to the example question. It hallucinated a wrong answer as correct. It eventually came up with another correct answer: (1 + 2) × 3 + 4 × 5 + (6 × 7 + 8) × 9 = 479 Source: https://chatgpt.com/share/6747c32e-1e60-8007-9361-26305101ce...

except not really correct because you are only allowed one set of parens

Re: QwQ: Alibaba's O1-like reasoning LLM

#116
post #74

This one is pretty impressive. I'm running it on my Mac via Ollama - only a 20GB download, tokens spit out pretty fast and my initial prompts have shown some good results. Notes here: https://simonwillison.net/2024/Nov/27/qwq/

What hardware are you able to run this on?

M2 MacBook Pro with 64GB of RAM.

Re: QwQ: Alibaba's O1-like reasoning LLM

#117
post #58
post #53

Earlier quoted context omitted.

Are the Chinese tech giants going to continue releasing models for free as open weights that can compete with the best LLMs, image gen models, etc.? I don't see how this doesn't put extreme pressure on OpenAI and Anthropic. (And Runway and I suppose eventually ElevenLabs.) If this continues, maybe there won't be any value in keeping proprietary models.

I don’t see why they wouldn’t. If you’re China and willing to pour state resources into LLMs, it’s an incredible ROI if they’re adopted. LLMs are black boxes, can be fine tuned to subtly bias responses, censor, or rewrite history. They’re a propaganda dream. No code to point to of obvious interference.

That is a pretty dark view on almost 1/5th of humanity and a nation with a track record of giving the world important innovations: paper making, silk, porcelain, gunpowder and compass to name the few. Not everything has to be around politics.

Re: QwQ: Alibaba's O1-like reasoning LLM

#119
post #58

Earlier quoted context omitted.

I don’t see why they wouldn’t. If you’re China and willing to pour state resources into LLMs, it’s an incredible ROI if they’re adopted. LLMs are black boxes, can be fine tuned to subtly bias responses, censor, or rewrite history. They’re a propaganda dream. No code to point to of obvious interference.

That is a pretty dark view on almost 1/5th of humanity and a nation with a track record of giving the world important innovations: paper making, silk, porcelain, gunpowder and compass to name the few. Not everything has to be around politics.

> That is a pretty dark view on almost 1/5th of humanity

The CCP does not represent 1/5 of humanity.

> and a nation with a track record of giving the world important innovations: paper making, silk, porcelain, gunpowder and compass to name the few.

Utter nonsense. It wasn't the CCP who invented gunpowder.

If you are willing to fool yourself into believing that somehow all developments that ever originated by people who live in a geographic region are due to the ruling regime, you'd have a far better case in praising Taiwan.

Re: QwQ: Alibaba's O1-like reasoning LLM

#120
post #74

This one is pretty impressive. I'm running it on my Mac via Ollama - only a 20GB download, tokens spit out pretty fast and my initial prompts have shown some good results. Notes here: https://simonwillison.net/2024/Nov/27/qwq/

What hardware are you able to run this on?

Works well for me on an MBP with 36GB ram with no swapping (just).

I've been asking it to perform relatively complex integrals and it either manages them (with step by step instructions) or is very close with small errors that can be rectified by following the steps manually.

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