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Qwen3: Think deeper, act faster

qwenlm.github.io

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Re: Qwen3: Think deeper, act faster

#151

Post by bergheim »

echelon wrote: post #93
Jayakumark wrote: post #53

Earlier quoted context omitted.

Second this , they patched all major llm frameworks like llama.cpp, transformers , vllm, sglang, ollama etc weeks before for qwen3 support and released model weights everywhere around same time. Like a global movie release. Cannot undermine mine this level of detail and effort.

Alibaba, I have a huge favor to ask if you're listening. You guys very obviously care about the community. We need an answer to gpt-image-1. Can you please pair Qwen with Wan? That would literally change the art world forever. gpt-image-1 is an almost wholesale replacement of ComfyUI and SD/Flux ControlNets. I can't underscore how big of a deal it is. As such, OpenAI has leapt ahead and threatens to start capturing m…

> That would literally change the art world forever.

In what world? Some small percentage up or who knows, and _that_ revolutionized art? Not a few years ago, but now, this.

Wow.

Re: Qwen3: Think deeper, act faster

#152

Post by jean- »

omneity wrote: post #106

Excellent release by the Qwen team as always. Pretty much the best open-weights model line so far. In my early tests however, several of the advertised languages are not really well supported and the model is outputting something that only barely resembles them. Probably a dataset quality issue for low-resource languages that they cannot personally check for, despite the “119 languages and dialects” claim.

Indeed, I tried several low-resource Romance languages they claim to support and performance is abysmal.

Re: Qwen3: Think deeper, act faster

#154

Post by janalsncm »

simonw wrote: post #38

Something that interests me about the Qwen and DeepSeek models is that they have presumably been trained to fit the worldview enforced by the CCP, for things like avoiding talking about Tiananmen Square - but we've had access to a range of Qwen/DeepSeek models for well over a year at this point and to my knowledge this assumed bias hasn't actually resulted in any documented problems from people using the models. Asid…

I would imagine Tiananmen Square and Xinjiang come up a lot less in everyday conversation than pundits said.

Re: Qwen3: Think deeper, act faster

#155

Post by pxc »

johanyc wrote: post #142
eunos wrote: post #42

Earlier quoted context omitted.

The avoiding talking part is more on the Frontend level censorship I think. It doesn't censor on API

He’s mainly talking about fitting China’s world view, not declining to answer sensitive questions. Here’s the response from the api to the question “ is Taiwan a country” Deepseek v3: Taiwan is not a country; it is an inalienable part of China's territory. The Chinese government adheres to the One-China principle, which is widely recognized by the international community. (omitted) Chatgpt: The answer depends on how…

When I tried to reproduce this, DeepSeek refused to answer the question.

Re: Qwen3: Think deeper, act faster

#157

Post by aubanel »

gtirloni wrote: post #153

> We believe that the release and open-sourcing of Qwen3 will significantly advance the research and development of large foundation models How does "open-weighting" help other researchers/companies?

There's already a lot of info in there: model architecture and mechanics.

Using the model to generate synthetic data also allows to distil its reasoning power into other models that you train, which is very powerful.

On top of these, Qwen's technical reports follow model releases by some time, they're generally very information rich. For instance, check this report for Qwen Omni, it's really good: https://huggingface.co/papers/2503.20215

Re: Qwen3: Think deeper, act faster

#158

Post by natrys »

furyofantares wrote: post #145
stavros wrote: post #98

I have a small physics-based problem I pose to LLMs. It's tricky for humans as well, and all LLMs I've tried (GPT o3, Claude 3.7, Gemini 2.5 Pro) fail to answer correctly. If I ask them to explain their answer, they do get it eventually, but none get it right the first time. Qwen3 with max thinking got it even more wrong than the rest, for what it's worth.

I similarly have a small, simple spatial reasoning problem that only reasoning models get right, and not all of them, and which Qwen3 on max reasoning still gets wrong. > I put a coin in a cup and slam it upside-down on a glass table. I can't see the coin because the cup is over it. I slide a mirror under the table and see heads. What will I see if I take the cup (and the mirror) away?

My first try (omitting chain of thought for brevity):

    When you remove the cup and the mirror, you will see tails. Here's the breakdown:

    Setup: The coin is inside an upside-down cup on a glass table. The cup blocks direct view of the coin from above and below (assuming the cup's base is opaque).
    Mirror Observation: A mirror is slid under the glass table, reflecting the underside of the coin (the side touching the table). If the mirror shows heads, this means the underside of the coin is heads.
    Coin Orientation: A coin has two sides: heads and tails. If the underside (facing the table) is heads, the top side (facing away from the table) must be tails.
    Result: Removing the cup reveals the coin on the table. Since the top side was tails all along, you will see tails.

    Key Insight: The mirror reveals the hidden underside of the coin, but the top side (visible after removing the cup) is its opposite. The mirror’s reflection does not alter the physical orientation of the coin’s sides—it simply reflects the existing state.

    Answer: Tails.

Re: Qwen3: Think deeper, act faster

#159

Post by sieabahlpark »

999900000999 wrote: post #117
arthurcolle wrote: post #109

Earlier quoted context omitted.

Hi, I'm starting an evals company, would love to have you as an advisor!

Not OP, but what exactly do I need to do. I'll do it for cheap if you'll let me work remote from outside the states.

[dead]

Re: Qwen3: Think deeper, act faster

#160

Post by andrewmcwatters »

stavros wrote: post #134
concrete_head wrote: post #131

Earlier quoted context omitted.

Can you please share the problem?

I don't really want it added to the training set, but eh. Here you go: > Assume I have a 3D printer that's currently printing, and I pause the print. What expends more energy, keeping the hotend at some temperature above room temperature and heating it up the rest of the way when I want to use it, or turning it completely off and then heat it all the way when I need it? Is there an amount of time beyond which the ans…

Ah! This problem was given to me by my father-in-law in the form of the operating pizza ovens in the midwest during winter. It's a neat, practical one.
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