deepseek-v4-gguf on AMD/Nvidia GPU
For the fastest local setup of this model, Docker is the best choice. Refer to the instructions below to proceed. The installer automatically pulls the model (could be multiple GBs). The setup file includes an intelligent feature that instantly optimizes all configurations for your hardware profile. 🧮 Hash-code: d007b66890b305035fb3c338ed6e8793 • 📆 2026-06-25VerifyProcessor: 4.0 GHz+ boost clock recommended for CPU inference RAM: 64 GB to avoid OOM crashes on large contexts Disk: high-speed SSD 120 GB to cache model layers Graphics: stable 30+ tk/s at 4-bit quantization on medium setup The deepseek-v4-gguf model represents a significant advancement in open‑source language models, combining efficient quantization with state‑of‑the‑art performance. Built on a transformer‑based architecture, it leverages grouped‑query attention to reduce memory footprint while maintaining high inference speed on consumer hardware. With 7 billion parameters and a 8 K context window, the model excels at both reasoning tasks and creative generation,...