Qwq-32b
Why Choose Qwq-32b?
Go with this if you want cutting-edge language models that can handle complex queries and generate high-quality content. It’s a top choice for advanced AI applications.
Open-source 32B LLM with enhanced reasoning capabilities.
Qwq-32b Introduction
What is Qwq-32b?
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 Qwq-32b?
To use QwQ-32B, load the model and tokenizer using the transformers library. Utilize the apply_chat_template function to format prompts. Ensure you have the latest version of transformers installed. Follow the usage guidelines for optimal performance, including enforcing thoughtful output with "<think>\n" and adjusting sampling parameters.
Why Choose Qwq-32b?
Go with this if you want cutting-edge language models that can handle complex queries and generate high-quality content. It’s a top choice for advanced AI applications.
Qwq-32b Features
AI Models
- ✓Enhanced reasoning capabilities
- ✓Thinking mode for complex tasks
- ✓Based on Qwen2.5 architecture
- ✓Large context length (131,072 tokens)
FAQ?
Pricing
Pricing information not available