Qwen-2.5-72B on serverless inference
Generate conversational responses using text input
DocuQuery AI is an intelligent pdf chatbot
Generate responses and perform tasks using AI
Chat with a helpful AI assistant in Chinese
Generate code and answers with chat instructions
Discover chat prompts with a searchable map
Chat with Qwen2-72B-instruct using a system prompt
NovaSky-AI-Sky-T1-32B-Preview
Implement Gemini2 Flash Thinking model with Gradio
Generate chat responses using Llama-2 13B model
Engage in chat with Llama-2 7B model
Chat with a Japanese 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.