Chat with Qwen2-72B-instruct using a system prompt
Chat with a helpful assistant
This Chatbot for Regal Assistance!
Chat with an AI that solves complex problems
Generate chat responses using Llama-2 13B model
Chat with an empathetic dialogue system
Talk to a language model
Chat with a friendly AI assistant
Generate chat responses from user input
llama.cpp server hosting a reasoning model CPU only.
Generate text responses in a chat interface
Vision Chatbot with ImgGen & Web Search - Runs on CPU
Quickest way to test naive RAG run with AutoRAG.
Qwen2 72B Instruct is a state-of-the-art chatbot model developed with a focus on instruction-following and conversational tasks. With 72 billion parameters, it is designed to process and respond to complex prompts effectively. This model excels in understanding and executing instructions, making it ideal for tasks requiring detailed and actionable responses.
• Advanced Instruction Handling: Capable of following complex instructions and generating highly relevant responses.
• Large Parameter Size: 72 billion parameters enable the model to process and understand a wide range of inputs.
• Customizable System Prompts: Allows users to tailor the model's behavior by setting specific prompts.
• Versatile Use Cases: Suitable for tasks like problem-solving, creative writing, and technical explanations.
• Emotional Understanding: Can recognize and respond to emotional cues in conversations.
• Integration-Friendly: Compatible with various platforms and applications for seamless integration.
What is Qwen2 72B Instruct best suited for?
Qwen2 72B Instruct is ideal for tasks requiring detailed instructions, such as problem-solving, creative writing, and technical explanations. It excels in following complex instructions and generating actionable responses.
How can I customize Qwen2 72B Instruct for my needs?
You can customize the model by defining a specific system prompt that sets the tone, style, and behavior for the conversation. This allows the model to tailor its responses to your requirements.
Why is it called "72B Instruct"?
The "72B" refers to the model's 72 billion parameters, which enable it to process and understand a wide range of inputs. The "Instruct" designation highlights its focus on instruction-following and task-oriented conversations.