Hugging Face

What it does

QwQ-32B, from Alibaba Qwen team, is a new open-source 32B LLM achieving DeepSeek-R1 level reasoning via scaled Reinforcement Learning. It features a "thinking mode" for complex tasks and is part of the Qwen series, focusing on reasoning capabilities. Compared to instruction-tuned models, QwQ excels in downstream tasks, especially hard problems. It's built upon Qwen2.5 and requires the latest Hugging Face transformers library.

How to use: Users can explore and download pre-trained models, datasets, and applications from the Hub. They can also host and collaborate on their own ML projects, deploy models on Inference Endpoints, or upgrade Spaces applications to use GPUs.

Core features

• ✦Model Hub: Access to thousands of pre-trained models.
• ✦Dataset Hub: Repository of diverse datasets for ML tasks.
• ✦Spaces: Platform for building and hosting ML applications.
• ✦Inference Endpoints: Deploy models on fully managed infrastructure.
• ✦Compute: Paid compute resources for deploying and running ML applications.
• ✦Enterprise Solutions: Enterprise-grade security, access controls, and dedicated support.

Use cases

• →Finding and using pre-trained models for various ML tasks.
• →Collaborating on ML projects with other researchers and developers.
• →Deploying ML applications for public use.
• →Accelerating ML development with optimized compute resources.
• →Building and sharing custom datasets.