Qwen-2.5-72B on serverless inference
Interact with Falcon-Chat for personalized conversations
Generate conversation feedback with multilingual chatbot
Generate chat responses from user input
Chat with content from any website
Chat Long COT model that uses tags
Generate code and answers with chat instructions
Chat with a Qwen AI assistant
Generate responses and perform tasks using AI
Engage in intelligent chats using the NCTC OSINT AGENT
Generate responses in a chat with Qwen, a helpful assistant
Start a chat to get answers and explanations from a language model
mistralai/Mistral-7B-Instruct-v0.3
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.