The new model, dubbed QwQ-32b (Quan-with-Questions) runs on much fewer parameters, meaning that it requires less resources, but Alibaba claims that it performs at the same level as DeepSeek or ...

QwQ-32B-Preview is “openly” available under an Apache 2.0 license, meaning it can be used for commercial applications. But only certain components of the model have been released, making it ...

The takeaway here is that just because a model can brute force its way to the right answer doesn't mean it's the right tool for the job. Instead, we recommend giving QwQ access to a Python calculator.

It’s open source, meaning developers and researchers everywhere can dive in and explore its potential. If you’ve ever wondered what the future of efficient, accessible AI might look like, QwQ ...

Since QwQ’s initial release ... with higher token count meaning more information. 131,000 tokens is equivalent to around a 300-page book. Traditional instruction-tuned models often struggle ...

QwQ-32B is based on the Transformer architecture that underpins most large language models. Transformer-based LLMs use a machine learning technique called attention to infer the meaning of sentences.

Enter the Qwen QwQ 32B, a local reasoning model that’s rewriting the rules of what’s possible in AI. With 32 billion parameters packed into a dense, efficient architecture, this model is ...

This one is known as Qwen with Questions (QwQ), and serves as the latest open source competitor to OpenAI’s o1 reasoning model. Like other large reasoning models (LRMs), QwQ uses extra compute ...

Alibaba Group Holding Ltd. BABA has introduced a new AI model, QwQ-32B-Preview, which is positioned as a competitor to Microsoft Corp.-backed MSFT OpenAI’s o1 reasoning model. What Happened ...

The company’s release of QwQ-Max-Preview coincided with the DeepSeek campaign to make five of its code repositories public. Qwen’s latest reasoning model is part of an AI system replicating ...