The fastest way to get this model running locally is via Docker.
Use the instructions provided below to complete the setup.
The automated installation script takes care of everything by tailoring the setup perfectly to your system specs.
Kimi-K2.6 is a nextâgeneration 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 longârange 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 180âŊbillion and a context window of 8âŊK tokens, Kimi-K2.6 achieves stateâofâtheâart performance across benchmark suites. The model specifications are summarized in the table below:
| Parameters | 180âŊB |
| Context Length | 8âŊK tokens |
| Training Tokens | 5âŊtrillion |
| Architecture | Transformer with sparse attention |
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