Qwen-2.5-72B on serverless inference
Discover chat prompts with a searchable map
Vision Chatbot with ImgGen & Web Search - Runs on CPU
Vegeta's personality and voice cloned
Talk to Vishnu, your youthful and witty assistant!
Login to access chatbot features
Interact with an AI therapist that analyzes text and voice emotions, and responds with text-to-speech
Generate responses using text and images
Uncesored
Generate text chat conversations using images and text prompts
Start a chat to get answers and explanations from a language model
Display chatbot leaderboard and stats
Interact with multiple chatbots simultaneously
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.