Kimi-K2.7-Code Zero Config Windows

Kimi-K2.7-Code Zero Config Windows

The most rapid route to a local installation of this model is through Docker.

Follow the guidelines below to continue.

The system automatically triggers a cloud download for all heavy weights.

The installer will automatically analyze your hardware and select the optimal configuration for your system.

📘 Build Hash: 45dcbc5695500ec09d1b0be81378229a • 🗓 2026-06-25



  • Processor: high single-core performance needed for token latency
  • RAM: minimum 16 GB for stable 8B model loading
  • Disk: 150+ GB for high-context vector database storage
  • GPU: high memory bandwidth GPU for next-gen local AI pipeline

Kimi-K2.7-Code is a large language model specifically optimized for code generation and software development tasks. It leverages an innovative architecture that combines attention mechanisms with efficient memory usage, enabling it to handle complex programming languages while maintaining fast inference speeds. The model supports a broad spectrum of multilingual coding environments, making it a versatile tool for global development teams. In benchmarks, Kimi-K2.7-Code achieves state-of-the-art scores in code completion, bug fixing, and refactoring challenges.

Parameter Count 7.5B
Training Tokens 3 trillion
Supported Languages 30
Inference Speed >200 tokens/s

Developers can integrate the model via standard APIs for seamless workflow incorporation.

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