Qwen-2.5-72B on serverless inference
Generate text chat conversations using images and text prompts
Interact with a Korean language and vision assistant
Generate detailed, refined responses to user queries
Chat about images by uploading them and typing questions
Marin kitagawa an AI chatbot
Ask legal questions to get expert answers
Chat with a Japanese language model
Meta-Llama-3.1-8B-Instruct
Engage in chat conversations
Chat with a friendly AI assistant
ChatBot Qwen
Engage in conversation with GPT-4o Mini
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.