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Beam model activates 8 of 256 experts per token across 52 layers

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vLLM's post describes Beam as a model with 8 of 256 experts active per token across 52 layers. Its attention alternates a 512-token sliding window with global NoPE attention, and a separate 5-layer drafter supplies speculative tokens.

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Inside Beam: 8 of 256 experts are active per token across 52 layers.

Attention alternates a 512-token sliding window with global NoPE attention, pairing local processing with access to long context.

Harmony carries the reasoning and tool-use structure. A separate 5-layer drafter supplies speculative tokens.

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Source: vLLM · x.comPublished · added here

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