Setup Kimi-K2.6 Windows 11 Fully Jailbroken No-Code Guide

Setup Kimi-K2.6 Windows 11 Fully Jailbroken No-Code Guide

Running this model locally is fastest when deployed through Docker.

Review and follow the instructions below.

Next, run the Docker command to spin up the container.

📤 Release Hash: c03ca08f4fed1c3f6bf716b3b56efcc2 • 📅 Date: 2026-06-23



  • Processor: Intel i5 or AMD Ryzen 5 for basic 7B models
  • RAM: 64 GB to avoid OOM crashes on large contexts
  • Disk Space: required: fast PCIe 4.0 drive for instant boots
  • Graphics: 12 GB VRAM minimum required for basic quantization

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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