QwQ-32B

Meet QwQ 32B, a smart model made by the Qwen team. It tackles tough tasks and is part of the Qwen family, which has models of different sizes, from small to very large.
Key Features
QwQ 32B has some impressive features.
It uses special tools like Transformers with RoPE, SwiGLU, RMSNorm, and Attention QKV bias. It can handle a lot of information at once, up to 32,768 tokens, and can even go up to 131,072 tokens with YaRN. The model has 64 layers, with 40 attention heads for Q and 8 for KV. It speaks over 29 languages, like Chinese, English, French, Spanish, and more. Plus, it can handle up to 128K tokens and make up to 8K tokens.
Benefits
QwQ 32B has been trained a lot. This includes basic training, special training, and learning from rewards. This makes it great at math, coding, and solving problems. It is good at common sense tasks and understanding data, making it helpful for researchers and developers.
Use Cases
QwQ 32B can solve math problems, help with coding, and solve general problems. It can handle lots of information and give long answers, making it good for tasks that need deep thinking.
Cost Price
The cost of the product is not mentioned.
Funding
The funding details of the product are not mentioned.
Reviews Testimonials
While there are no user reviews, QwQ 32B has been tested against other top models. It shows that it is very good at advanced reasoning and problem-solving.
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