Using Docker is the absolute quickest way to install this model on your local machine.
Please follow the instructions listed below to get started.
Hands-free setup: the system self-downloads the heavy model files.
The deployment tool scans your environment and automatically chooses the ideal parameters for your OS.
DeepSeek-V4-Pro introduces a groundbreaking sparse‑attention architecture that dramatically cuts compute costs while retaining the ability to model long‑range contexts. With a staggering parameter count exceeding 1.5 trillion weights, the model delivers superior multilingual capabilities and nuanced reasoning. It has been trained on a meticulously curated training dataset of more than 5 trillion tokens, encompassing code repositories, scientific papers, and diverse conversational sources. Benchmark results highlight its state‑of‑the‑art performance across reasoning, coding, and factual QA tasks, often outpacing earlier models by double‑digit margins. Key technical specifications are summarized below:
| Metric | Value |
|---|---|
| Parameters | 1.5 T |
| Training Tokens | 5 T |
| Context Length | 8K |
| FLOPs per Token | 2.3×10^12 |
Japanese 
English 
French 
Arabic 
Spanish 
Indonesian 
Russian 
Portuguese 
German 
Korean 
