Qwen-2.5-72B on serverless inference
Start a chat to get answers and explanations from a language model
Generate chat responses using Llama-2 13B model
Interact with a chatbot that searches for information and reasons based on your queries
Generate human-like text responses in conversation
Generate detailed step-by-step answers to questions
Generate text responses in a chat interface
Test interaction with a simple tool online
Have a video chat with Gemini - it can see you ⚡️
Chat with Qwen2-72B-instruct using a system prompt
Send messages to a WhatsApp-style chatbot
This is open-o1 demo with improved system prompt
customizable ChatBot API + UI
Qwen-2.5-72B-Instruct is a large language model designed for conversational interactions. It is based on the Qwen-2.5 architecture, scaled up to 72 billion parameters, and optimized for instruction-following tasks. The model is deployed using serverless inference, enabling efficient and scalable interactions through a chat interface.
What makes Qwen-2.5-72B-Instruct different from other models?
Qwen-2.5-72B-Instruct is optimized for instruction-following tasks and leverages serverless architecture for efficient deployment, making it both versatile and scalable.
Can I use Qwen-2.5-72B-Instruct for commercial purposes?
Yes, the model supports commercial use cases, including customer service, content generation, and more, subject to the terms of service.
Do I need special hardware to run Qwen-2.5-72B-Instruct?
No, the model is designed for serverless inference, meaning you can access it without needing dedicated hardware or complex setup.