ambiguous · filed under inference & serving
Embedding and KV-cache quantization
Focuses compression on the vocabulary embeddings and the model’s short-term-memory cache.
Also called Embedding and KV cache optimization.
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How sources treat it
One count per evidence span, weakest treatment to strongest.
used 1
Documented in
Evidence
1 span quoted from the sources, strongest treatment first.
We focused compression on the model’s vocabulary list and its short-term memory.
usedoptimizationin Gemma 4 E2B and E4B edge modelsGoogle
Filed alongside
Other methods under inference & serving :: inference quantization.
FP8 KV-cache quantizationFP8FP4 KV-cache quantizationNVFP4 quantizationFour-Over-SixMXFP4 weight quantizationPost-training quantizationQuantizationBlock-scaled INT8 quantization with stochastic roundingFP8 E4M3 quantizationGGUFMax-based scalingMSE-based scalingMXFP8 activation quantizationNVFP4 KV-cache quantizationNVFP4 ModelOpt re-quantizationSSM cache quantizationAWQ INT4 weight quantization (W4A16)BF16 inferenceBlock-wise E4M3 FP8 weight quantizationChannel-wise quantizationDynamic activation scalingEmpirical bits-per-element budget selectionFine-grained FP8 quantization