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DeepSeek MLA Architecture: How Multi-Head Latent Attention Cuts KV Cache by 93%

Community description: A deep mathematical and PyTorch breakdown of Multi-Head Latent Attention (MLA), matrix absorption, and decoupled RoPE.

Dev.to | Sep 13, 2026 | Abhishek Raaj Mishra

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Per-token Key dimension: $128 \times 128 = 16,384$ scalars. Per-token Value dimension: $128 \times 128 = 16,384$ scalars. Content Stream ($k_{t,i}^C$): Dimension $d_h = 128$.

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