Qwen3-32B¶

In this article

• Main Features of Qwen3-32B
• Deployment Features
• Getting Started After Deploying Qwen3-32B
• Ordering a Server with Qwen3-32B Using API

Main Features of Qwen3-32B¶

• Multilingual Architecture: The model has 32 billion parameters and supports 119 languages and dialects, trained on 36 trillion words, ensuring an understanding of cultural nuances and high-quality translation;
• Modes of Operation: Optimized for both deep reasoning (thinking mode) and quick responses (non-thinking mode), allowing adaptation to various task types;
• Integration with Open Web UI: Provides a modern web interface for convenient interaction with the model through port 8080, ensuring full control over data and request processing;
• Scalability: Supports different levels of quantization (FP16, 8-bit, 4-bit) for memory usage optimization depending on available resources;
• Security and Control: Complete local deployment ensures data confidentiality, while OLLAMA_HOST and OLLAMA_ORIGINS settings guarantee network security;
• High Performance: Achieves around 34 tokens per second on high-performance consumer GPUs, making the model viable for local use;
• Fault Tolerance: An embedded system of automatic container and service restarts ensures stable operation.
• Examples of Use:
  • Customer Support: Automation of responses to user questions with support for multiple languages;
  • Education: Creation of educational materials, assistance in solving complex tasks;
  • Programming: Code generation and analysis with support for various programming languages;
  • Multilingual Content: Creation and translation of texts considering cultural specifics.

Deployment Features¶

• Installation time 20-40 minutes together with OS;
• Ollama server loads and runs the Qwen3-32B model in GPU/RAM memory;
• Open WebUI is deployed as a web application connected to the Ollama server;
• Users interact with the model through the Open WebUI web interface, sending requests and receiving responses;
• All computations and data processing occur locally on the server with multilingual support;
• Administrators can configure the model for specific tasks through OpenWebUI tools.

Getting Started After Deploying Qwen3-32B¶

After payment of the order to the email specified at registration, a notification about the readiness of the server for work will be sent. It will include the VPS IP address, as well as login and password for connecting to the server and a link for accessing the OpenWebUI panel. Clients of our company manage equipment in the server management panel and API — Invapi.

• Authentication data for access to the server's operating system (e.g., via SSH) will be sent to you in the received e-mail.
• Link for accessing the Ollama management panel with Open WebUI web interface: in the tag webpanel in the tab Info >> Tags of the Invapi control panel. The exact link in the form https:qwen3-32b<Server_ID_from_Invapi>.hostkey.in is sent in the email upon server delivery.

After clicking the link from the tag webpanel, a Get started with Open WebUI login window will open, where you need to create an admin account name, email, and password for your chatbot, then press the Create Admin Account button:

After successful registration, the main interface of Open WebUI will open:

Ordering a Server with Qwen3-32B Using API¶

To install this software using the API, follow these instructions.

Some of the content on this page was created or translated using AI.