Raon-1 mini preview

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KRAFTON AI released Raon-1 mini preview, a 28.8B-parameter MoE model with 4.3B active parameters under Apache 2.0. It supports 262,144 tokens of context and ships with a DFlash2 draft model and MXFP8/NVFP4 builds.

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KRAFTON releases Raon-1 mini preview, a 28.8B-parameter MoE model with 4.3B active and 262,144-token context

KRAFTON AI has released Raon-1 mini preview, a Mixture-of-Experts language model trained from scratch with 28.8B total and 4.3B active parameters. It is Apache 2.0 licensed, supports 262,144 tokens of context, and ships with a speculative decoding draft model that KRAFTON says reaches up to 2.18× higher output throughput on a single NVIDIA B300.

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