Hugging Face - Qwen/QwQ-32B
What is Hugging Face - Qwen/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 Hugging Face - Qwen/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.
Hugging Face - Qwen/QwQ-32B's Core Features
Enhanced reasoning capabilities
Thinking mode for complex tasks
Based on Qwen2.5 architecture
Large context length (131,072 tokens)
Hugging Face - Qwen/QwQ-32B's Use Cases
Solving complex reasoning problems
Text generation with a focus on logical thinking
Chat applications requiring advanced understanding
FAQ from Hugging Face - Qwen/QwQ-32B
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Hugging Face - Qwen/QwQ-32B Reviews (0)
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