For an instant local deployment, running a pre-configured shell script is ideal.
Review and follow the instructions below.
The setup auto-streams the model assets (expect a multi-GB download).
The setup file includes a feature that instantly optimizes all configurations.
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 customized character-card narrative profiles for roleplay setups
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- Setup utility creating desktop shortcuts for offline AI chatbots
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- Downloader pulling compact 2-bit quantization variants for rapid text synthesis prototyping
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