Qwen-2.5-72B on serverless inference
Chat with a Japanese language model
Chat about images by uploading them and typing questions
Fast and free uncensored chatbot that just works.
AutoRAG Optimization Web UI
Talk to Vishnu, your youthful and witty assistant!
Generate responses using text and images
Generate detailed step-by-step answers to questions
Advanced AI chatbot
Quickest way to test naive RAG run with AutoRAG.
Send messages to a WhatsApp-style chatbot
Marin kitagawa an AI chatbot
Generate conversational responses using text input
Qwen-2.5-72B-Instruct is a chatbot model based on the Qwen-2.5-72B architecture, specifically optimized for serverless inference. It is designed to engage in natural-sounding conversations while focusing on instruction-following tasks. The model is part of the Qwen series, which emphasizes accuracy and performance in generating human-like text responses.
What is the primary use case for Qwen-2.5-72B-Instruct?
Qwen-2.5-72B-Instruct is primarily designed for instruction-following tasks, such as answering questions, generating text, or executing multi-step tasks.
Is Qwen-2.5-72B-Instruct available for local deployment?
No, Qwen-2.5-72B-Instruct is optimized for serverless inference and is typically accessed through cloud-based platforms or APIs.
Does Qwen-2.5-72B-Instruct support multiple languages?
Yes, Qwen-2.5-72B-Instruct has multilingual capabilities, allowing it to understand and respond in multiple languages.