Compatible Moonshot AI Kimi Models
You can import large language models from Hugging Face and OCI Object Storage buckets into OCI Generative AI, create endpoints for those models, and use them in the Generative AI service.
Kimi 2
The Kimi K2.6 and Kimi K2.7 Code models are optimized for long-horizon coding, agentic workflows, and complex software engineering tasks. Kimi K2.6 is designed for coding, coding-driven design, autonomous execution, and task orchestration, while Kimi K2.7 Code is a coding-focused model built on Kimi K2.6 for long-horizon software engineering workflows.
| Hugging Face Model ID | Model Capability | Recommended Dedicated AI Cluster Unit Shapes |
|---|---|---|
| moonshotai/Kimi-K2.6 | TEXT_TO_TEXT |
|
| moonshotai/Kimi-K2.7-Code | TEXT_TO_TEXT |
|
Important
- For imported models, you can use the native context length specified by the model provider. However, the effective maximum context length is limited by the underlying hardware setup that you select for the hosting dedicated AI clusters in OCI Generative AI. To take full advantage of a model's native context length, you might need to provision more hardware resources.
- Use the fine-tuned models only if they match the compatible base model's transformer version and have a parameter count within ±10% of the original.
- For available hardware and steps on how to deploy the imported models, see Managing Imported Models.