08 Jul Setup Kimi-K2.7-Code Windows 10
The most efficient approach for a local installation is leveraging Docker containers.
Kindly follow the on-screen instructions below.
The script takes care of fetching the multi-gigabyte model weights.
To save you time, the system will automatically determine efficient resource allocation.
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.
- Script downloading optimized Ollama model manifests for instant deployment
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- Script downloading IP-Adapter-FaceID models for local consistent character creation
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