If you need a near-instant local setup, just fetch files via a basic curl request.
Kindly follow the on-screen instructions below.
The installer auto-downloads and deploys the entire model pack.
The installer diagnoses your environment to deploy the most compatible profile.
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 |
- Downloader pulling calibrated EXL2 format weights for GPUs
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- Installer configuring local context shifting for massive textbook indexing
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- Script fetching minimal terminal-based chat client binaries with full markdown generation outputs
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