Deploy Kimi-K2.6 on AMD/Nvidia GPU Fully Jailbroken Easy Build

Deploy Kimi-K2.6 on AMD/Nvidia GPU Fully Jailbroken Easy Build

Using the Windows Package Manager is the quickest way to trigger the setup.

Please adhere to the deployment steps listed below.

The download manager will automatically pull several gigabytes of data.

The configuration wizard runs silently to set up the model for peak performance.

📡 Hash Check: 1545228beb01526f8d665c8e1c485ede | 📅 Last Update: 2026-07-03



  • Processor: Intel i7 / Ryzen 7 for heavy Quantized models
  • RAM: enough space for background apps and OS overhead
  • Disk Space: free: 80 GB on system drive for scratch space
  • Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading

Kimi-K2.6 is a next‑generation language model that builds upon the successes of its predecessors with notable improvements in reasoning and multilingual capabilities. It employs a refined transformer architecture featuring sparse attention mechanisms that reduce computational load while preserving long‑range dependencies. The model was trained on an extensive corpus of over 5 trillion tokens, encompassing code, scientific literature, and diverse conversational data. With a parameter count of 180 billion and a context window of 8 K tokens, Kimi-K2.6 achieves state‑of‑the‑art performance across benchmark suites. The model specifications are summarized in the table below:

Parameters 180 B
Context Length 8 K tokens
Training Tokens 5 trillion
Architecture Transformer with sparse attention
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