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THE CONSCIOUSNESS ATLAS
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ConsciousnessLearn · Explore · Joseph Anady

Width of a concatenated Kimi patch group

The feature width of one patch is multiplied by the number of patches in a merge group. For 1,152 features and a 2×2 group, the intermediate width is 4,608. The later constructor projects from that width to the 7,168-component text residual stream, which conflicts with…

Donor model implementationhistorical source recovered; expression not executed in this website audit
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donor-eq-8264b8d766d7ecsource-code mathematical expression
self.hiddensize=config.mmhiddensize∗(config.mergekernelsize[0]∗config.mergekernelsize[1])self.hidden_size = config.mm_hidden_size * ( config.merge_kernel_size[0] * config.merge_kernel_size[1])

Read the equation

The feature width of one patch is multiplied by the number of patches in a merge group. For 1,152 features and a 2×2 group, the intermediate width is 4,608. The later constructor projects from that width to the 7,168-component text residual stream, which conflicts with the overview table listing both projection weights as 4,608×4,608.

Terms & definitions

The recovered passage does not supply a separate symbol table. Read the source context for the notation used in this version; familiar letters may carry different meanings in other builds.

How it works

Read the definition from its right-hand expression to the quantity on the left. Its surrounding source records the intended input, state, or parameter context. Where the source leaves an operation unspecified, this page preserves that gap.

Assumptions & limits

Source recovery establishes that the expression appears in this record. Its mathematical validity, implementation behavior, and interpretation must be assessed separately. See the linked source and research notes for the checks available for this version.

Original context

Read the surrounding source passage
def __init__(self, config):
        super().__init__()
        eps = config.projector_ln_eps
        self.hidden_size = config.mm_hidden_size * (
            config.merge_kernel_size[0] * config.merge_kernel_size[1])
        self.pre_norm = nn.LayerNorm(config.mm_hidden_size, eps=eps)
        self.proj = nn.Sequential(
            nn.Linear(self.hidden_size, self.hidden_size),
Exact original notation
self.hidden_size = config.mm_hidden_size * (
            config.merge_kernel_size[0] * config.merge_kernel_size[1])

Related builds

Sources & provenance

01
kimi source tree.txt
lines 1790–1791 · Aug 5, 2026
self.hidden_size = config.mm_hidden_size * ( config.merge_kernel_size[0] * config.merge_kernel_size[1])
02
kimi source tree.txt
lines 1790–1791 · Aug 5, 2026
self.hidden_size = config.mm_hidden_size * ( config.merge_kernel_size[0] * config.merge_kernel_size[1])

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