Quantization label same, bits per weight vary

A developer observed that the same AI model with an identical Q4_K_M label yielded different actual bits per weight values: 5.02, 5.07, and 5.27. This discrepancy suggests inconsistency in quantization implementation, which can affect model accuracy and performance expectations. It highlights the need for tighter standardization in model compression.

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