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

73 upvotes · 3 SEP 2026 · Sergii Kozyrev, Davyd Maiboroda

This paper investigates why a specific neural network architecture, Gated DeltaNet, can survive 4-bit quantization. The researchers found that a new quantization technique, NVFP4, can be used to quantize the recurrent state of GDN without significant loss of performance, and they provide a mechanistic explanation for why this is the case.

continual learninghybrid LLMsquantizationattentionrecurrent neural networks