If you want the fastest local installation for this model, use Docker.

Follow the guidelines below to continue.

Hands-free setup: the system self-downloads the heavy model files.

Once launched, the setup wizard will detect your specs to configure the model for maximum efficiency.

📄 Hash Value: 63c12e23cf2bc485016dbe6a2a59d1d3 | 📆 Update: 2026-06-22 Verify CPU: multi-threading optimized for fast prompt processing RAM: at least 32 GB in dual-channel mode for bandwidth Storage: extra room for future model updates and datasets GPU: modern architecture (Ada Lovelace / Ampere minimum)

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:

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