Unverified70% confidenceFactExact time
In W4A16 quantization, W4 means weights are stored as 4-bit integers, and A16 means activations retain 16-bit floating-point precision, which can compress VRAM usage to approximately one-quarter.
2
Sources
70%
Confidence
Long-term
Relevance
9/13/2026
First Seen
Sources
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Related Claims
UnverifiedW4A16 quantisation refers to a mixed-precision scheme in which weights are stored in 4-bit and activations remain 16-bit; compared with Q4_K_M it retains a higher-precision activation path, and combined with dedicated CUDA kernels such as marlin it can achieve higher throughput on NVIDIA graphics cards, but VRAM usage is more rigid and kernel support requirements are stricter.75% similarUnverified一张1024×1024的未压缩RGBA纹理占据4MB存储空间74% similarVerifiedINT4 achieves 4× storage compression compared to FP16.74% similarVerifiedQ4_K_M uses mixed precision, storing some critical weights at 6-bit and the remainder at 4-bit, with an overall average of approximately 4.5-bit.73% similarUnverifiedScalar quantization maps float32 to int8, achieving a memory compression ratio of 4:173% similar
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