How to Install deepseek-v4-gguf Locally via Ollama 2 5-Minute Setup

How to Install deepseek-v4-gguf Locally via Ollama 2 5-Minute Setup

The fastest way to get this model running locally is via Optional Features.

Review and follow the instructions below.

The installer auto-downloads and deploys the entire model pack.

The deployment tool scans your environment and chooses the ideal parameters.

📡 Hash Check: 6566162c654595d1f47223c93adece76 | 📅 Last Update: 2026-06-30



  • Processor: next-gen chip for heavy context processing
  • RAM: at least 32 GB in dual-channel mode for bandwidth
  • Disk Space:70 GB free space for full FP16 weights storage
  • 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, delivering competitive scores on benchmark suites. The GGUF format ensures compatibility across multiple platforms, allowing developers to integrate the model seamlessly into existing pipelines without extensive optimization. A comparison table below highlights key specifications and performance metrics relative to earlier deepseek releases.

Parameter Count 7 B
Context Length 8 K tokens
Quantization GGUF
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