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Why Gated DeltaNet Survives 4-Bit Quantization: NVFP4 W4A4 for the Recurrent Half of a Hybrid 27B LLM

Hybrid LLMs pair softmax attention with linear-attention layers such as Gated DeltaNet (GDN), whose recurrent state summarizes the context in fixed size. Early community 4-bit quantizations of Qwen3.8-27B (48 GDN layers, 16 attention layers) left the GDN block in 8- or 16-bit precision -- especially its decay and write-strength gates -- on the intuition that errors in a recurrence accumulate over…

We haven't written up this one. arXiv cs.AI has the full story — the link below goes straight to it.

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AI Scalability - A Systems Engineer's Guide

In 2001, in the final year of my Computer Science degree, I chose A_I and Neural Networks_ as an elective. The theory was beautiful — backpropagation, perceptrons, gradient descent — and it felt…

  • AlexNet's 2012 win marked shift from hand-crafted vision to deep learning.
  • Systems engineer explains GPU compute scaling impact on AI.
  • Memory layout in C affects CPU performance and cache behavior.

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