To install this model locally in the shortest time, opt for Docker.
Please follow the instructions listed below to get started.
The loader auto-caches the model archive (several GBs included).
The setup file includes an intelligent feature that instantly optimizes all configurations for your hardware profile.
Kimi-K2.6 is a next鈥慻eneration language model that builds upon the successes of its predecessors with notable improvements in reasoning and multilingual capabilities. It employs a refined transformer architecture featuring sparse attention mechanisms that reduce computational load while preserving long鈥憆ange dependencies. The model was trained on an extensive corpus of over 5 trillion tokens, encompassing code, scientific literature, and diverse conversational data. With a parameter count of 180鈥痓illion and a context window of 8鈥疜 tokens, Kimi-K2.6 achieves state鈥憃f鈥憈he鈥慳rt performance across benchmark suites. The model specifications are summarized in the table below:
| Parameters | 180鈥疊 |
| Context Length | 8鈥疜 tokens |
| Training Tokens | 5鈥痶rillion |
| Architecture | Transformer with sparse attention |
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