Unverified50% confidenceFactExact time
Connecting a 256-channel, n×n feature map to the decoder with a full FC layer requires m²n⁴ parameters, which the paper notes would exceed 100 million parameters.
1
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50%
Confidence
Long-term
Relevance
10/12/2026
First Seen
Sources
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Related Claims
UnverifiedFor an 8×8×256 latent feature, the grouped fully connected layer requires approximately 1.05 million weights, whereas a full FC layer would require approximately 268 million weights.76% similarUnverifiedModels such as Llama-3.1-8B are built on a stacked Transformer decoder architecture, typically containing 32 decoder layers, with approximately 250 million parameters per layer and approximately 500MB of VRAM per layer at FP16 precision.69% similar
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