Deploying this model locally is quickest when done via Docker.
Refer to the instructions below to proceed.
The automated installation script takes care of everything by tailoring the setup perfectly to your system specs.
Kimi-K2.6 is a next‑generation 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‑range 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 billion and a context window of 8 K tokens, Kimi-K2.6 achieves state‑of‑the‑art performance across benchmark suites. The model specifications are summarized in the table below:
| Parameters | 180 B |
| Context Length | 8 K tokens |
| Training Tokens | 5 trillion |
| Architecture | Transformer with sparse attention |
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