SageAttention¶
SageAttention is an attention-specific quantization family. The paper cites it as a method line that targets 8-bit to 4-bit attention acceleration with outlier smoothing.
Design point¶
Attention quantization differs from FFN quantization because attention scores and value aggregation can be sensitive to outliers and softmax behavior. SageAttention-style methods focus on this attention path rather than applying one uniform quantizer to the entire transformer.
Role in Sol-Engine¶
SageAttention is a candidate for deployments where attention remains a major bottleneck after cache, sparse attention, or token pruning choices are fixed.
Validation¶
Inspect both motion smoothness and temporal flicker. Attention quantization can preserve frame-level aesthetics while changing temporal consistency.