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DeepSeek-R1:14B

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Information

DeepSeek-R1:14b is a powerful language model optimized for local deployment using the Ollama framework. This solution combines high model performance with ease of use through an Open Web UI. The model requires significant computing resources for efficient operation, but provides high quality text generation while maintaining full control over data and query processing. It is deployed on Ubuntu 22.04 using a modern NVIDIA or Radeon graphics card.

Key Features of DeepSeek-R1:14B

  • High Performance: DeepSeek-R1:14B can quickly process and generate text data thanks to its 14-billion-parameter architecture, providing high execution speed for natural language processing (NLP) tasks;
  • Multilingual support: The model can understand and generate text in multiple languages, making it a universal tool for international projects and multilingual applications;
  • Learning flexibility: Supports few-shot and zero-shot learning, allowing it to solve tasks with minimal examples or without prior training on specific data;
  • Wide range of tasks: The model can perform various tasks, including text generation, translation, data analysis, code writing, solving mathematical problems and much more;
  • Application integration: DeepSeek-R1:14B can be easily integrated into various applications via API, making it convenient for use in chatbots, virtual assistants, automation systems and analytical tools;
  • Adaptability and Fine Tuning: The model can be fine-tuned for specific tasks or domains, such as medicine, finance, law or IT, allowing it to be adapted to specific needs;
  • Ethics and security: DeepSeek-R1:14B is designed with modern ethical and security standards in mind, including toxic content filtering and minimizing response bias;
  • Energy Efficiency: Compared to larger models, DeepSeek-R1:14B delivers high performance with lower resource consumption, making it economically viable for commercial use;
  • Support for multiple data types: The model can work with text, code, structured and semi-structured data, expanding its applicability in various fields.
  • Use Cases:
    • Customer support: Automate responses to user questions;
    • Education: Create educational materials, help solve problems;
    • Marketing: Generate promotional copy, analyze reviews;
    • Software Development: Writing code and documentation.

Deployment Features

ID Compatible OS VM BM VGPU GPU Min CPU (Cores) Min RAM (Gb) Min HDD/SDD (Gb) Active
247 Ubuntu 22.04 - - + + 4 16 - Yes
  • Installation time 15-30 minutes including OS;
  • Ollama server downloads and runs LLM in memory;
  • Open WebUI is deployed as a web application connected to the Ollama server;
  • Users interact with LLM through the Open WebUI web interface, sending requests and receiving responses;
  • All computation and data processing occurs locally on the server. Administrators can configure LLM for specific tasks through OpenWebUI tools.

System Requirements and Technical Specifications

  • Graphics Accelerator: NVIDIA A4000 or more powerful with 16 GB video memory;
  • Disk Space: Sufficient for system installation, drivers, and model;
  • Drivers: NVIDIA drivers and CUDA for proper GPU operation;
  • Video Memory Consumption: 12 GB with 2K token context;
  • Automatic Restart: Automatic container restart configured for failures;
  • GPU Support: Full integration with NVIDIA CUDA for maximum performance.

Getting Started with Your Deployed DeepSeek-R1:14B

Upon the completion of your order and payment process, a notification will be sent to the email address provided during registration, confirming that the server is ready for operation. This communication includes the VPS IP address and login credentials necessary for connection purposes. Our company's equipment management team utilizes our control panels for servers and APIs — specifically, Invapi.

Once you click the webpanel tag link, a login window will appear.

The access details for logging into Ollama's Open WebUI web interface are as follows:

  • Login URL for accessing the management panel with Open WebUI and a web interface: Via the webpanel tag. Specific address in the format https://deepseek<Server_ID_from_Invapi>.hostkey.in as indicated in the confirmation email upon handover.

Following this link, you'll need to create an identifier (username) and password within Open WebUI for user authentication purposes.

Attention

Upon the registration of the first user, the system automatically assigns them an administrator role. To ensure security and control over the registration process, all subsequent registration requests must be approved by an administrator using their account credentials.

Note

A detailed description of working with the Ollama control panel with Open WebUI can be found in the article AI chatbot on your own server

Ordering a Server with DeepSeek-R1:14B via API

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

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