Qwen-2.5-72B on serverless inference
Generate code and answers with chat instructions
Vision Chatbot with ImgGen & Web Search - Runs on CPU
Interact with Falcon-Chat for personalized conversations
Chatbot
Fast and free uncensored chatbot that just works.
Chatgpt but free
Chat with a helpful assistant
Generate conversational responses using text input
Start a debate with AI assistants
Interact with an AI therapist that analyzes text and voice emotions, and responds with text-to-speech
Engage in conversations with a smart AI assistant
Engage in conversations with a multilingual language model
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.