Qwen-2.5-72B on serverless inference
Generate human-like text responses in conversation
Generate chat responses with Qwen AI
Generate chat responses using Llama-2 13B model
mistralai/Mistral-7B-Instruct-v0.3
Generate detailed, refined responses to user queries
Chat with an AI that solves complex problems
Generate detailed step-by-step answers to questions
Test interaction with a simple tool online
Chat with an empathetic dialogue system
Vision Chatbot with ImgGen & Web Search - Runs on CPU
This Chatbot for Regal Assistance!
Meta-Llama-3.1-8B-Instruct
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.