If you want the fastest local installation for this model, use Docker.
Refer to the instructions below to proceed.
1-click setup: the app automatically fetches the large weight files.
During setup, the script automatically determines and applies the best settings tailored to your machine.
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 |
- Bypass serial check using advanced game executable patch
- DeepSeek-V4-Pro For Low VRAM (6GB/8GB)
- Anti-cheat integrity bypass for running community-made script loaders
- DeepSeek-V4-Pro Locally (No Cloud)
- Direct game executable bypass skipping mandatory publisher login services
- Run DeepSeek-V4-Pro Windows
