Full Deployment Kimi-K2.7-Code on AMD/Nvidia GPU with 1M Context 5-Minute Setup
If you need a near-instant local setup, just fetch files via a basic curl request.
Go through the configuration rules shown below.
The setup auto-streams the model assets (expect a multi-GB download).
The setup file includes a feature that instantly optimizes all configurations.
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 fetching custom model merges directly into specific KoboldAI directory asset folder locations
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