DeepSeek-R1:14B¶

In this article

• Main Features of DeepSeek-R1:14B
• Deployment Features
• System Requirements and Technical Specifications
• Getting Started After Deploying DeepSeek-R1:14B
• Ordering a Server with DeepSeek-R1:14B via API

Main Features of DeepSeek-R1:14B¶

• High Performance: With its architecture comprising 14 billion parameters, DeepSeek-R1:14B can quickly process and generate text data, ensuring high-speed execution of tasks related to natural language processing (NLP).

• Multilingual Support: The model can understand and generate text in multiple languages, making it a universal tool for international projects and multilingual applications.

• Flexible Learning: Supports few-shot and zero-shot learning, allowing it to solve tasks even 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 different applications through 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 customization to meet specific needs.

• Ethics and Security: DeepSeek-R1:14B is developed with modern ethics and security standards in mind, including toxic content filtering and minimizing bias in responses.

• Energy Efficiency: Compared to larger models, DeepSeek-R1:14B provides high performance at lower resource costs, making it economically viable for commercial use.

• Data Type Support: The model can work with text data, code, structured and semi-structured data, expanding its applicability across various fields.

• Examples of Use:

• Customer Support: Automating responses to user queries.

• Education: Creating educational materials, assisting in solving tasks.
• Marketing: Generating advertising texts, analyzing reviews.
• Software Development: Creating and documenting code.

Deployment Features¶

• Installation time is 15-30 minutes along with the OS;

• The Ollama server loads and runs LLM in memory;

• Open WebUI is deployed as a web application connected to the Ollama server;

• Users interact with the LLM through the Open WebUI web interface, sending requests and receiving responses;

• All computations and data processing occur locally on the server. Administrators can configure the LLM for specific tasks through OpenWebUI tools.

System Requirements and Technical Specifications¶

• Operating System: Ubuntu 22.04;

• RAM: At least 16 GB;

• Graphics Accelerator: NVIDIA A4000 or better with 16 GB video memory;

• Disk Space: Sufficient for installing the system, drivers, and the model;

• Drivers: NVIDIA drivers and CUDA for proper GPU operation;

• Video Memory Consumption: 12 GB at a 2K token context;

• Automatic Restart: Automatic container restart is set up in case of failures;

• GPU Support: Full integration with NVIDIA CUDA for maximum performance.

Getting Started After Deploying DeepSeek-R1:14B¶

After payment, an email will be sent to the address specified during registration notifying you that the server is ready. It will include the VPS IP address, as well as login and password for accessing the server and a link to access the OpenWebUI control panel. Clients of our company manage equipment through the server management panel and API — Invapi.

• Login Data for Accessing the Server's Operating System (e.g., via SSH) will be sent to you in the email.

• Link for Accessing Ollama Control Panel with Open WebUI Web Interface: In the webpanel tag under the Info >> Tags tab of the Invapi control panel. The exact link in the format https://deepseek<Server_ID_from_Invapi>.hostkey.in will be sent via email when the server is delivered.

After clicking on the link from the webpanel tag, an OpenWebUI login window will open where you need to create an Administrator account by setting its Name, Login, and Password.

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.