Run Kimi-K2.5 No-Internet Version

Run Kimi-K2.5 No-Internet Version

The fastest method for installing this model locally is by using Docker.

Follow the step-by-step instructions below.

No manual effort needed; the setup auto-ingests the large data.

The smart installation system will instantly find the perfect configuration for your specific hardware.

🧾 Hash-sum — daedc3d8045dbc0baf90bc348ce8b4fb • 🗓 Updated on: 2026-06-28



  • Processor: next-gen chip for heavy context processing
  • RAM: minimum 16 GB for stable 8B model loading
  • Disk Space: required: fast PCIe 4.0 drive for instant boots
  • Graphics: TensorRT-LLM / vLLM inference engine compatible chip

Kimi-K2.5 is a next‑generation language model that leverages a hybrid architecture combining transformer-based attention with sparse gating mechanisms. It achieves state‑of‑the‑art performance on reasoning, coding, and multilingual tasks while maintaining a compact footprint for deployment. The model incorporates advanced quantization techniques and a novel attention‑sparsification algorithm that reduces computational load by up to 40% without sacrificing accuracy. Kimi-K2.5 also features an enhanced safety layer that dynamically adapts content filters based on contextual cues, ensuring responsible AI behavior. These innovations make Kimi-K2.5 suitable for both enterprise‑scale applications and edge devices, offering developers a versatile tool for building intelligent systems. Below is a quick overview of its core technical specifications.

Parameter Value
Parameters 180B
Context length 8K tokens
Training data 2.5TB
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