This model was quantized using the dynamic DQ3 (3-bit / 4-bit / 8-bit mixed) approach, inspired by the methodology described in the mlx-community/Kimi-K2.5-mlx-DQ3_K_M-q8 repository.

The weights are mixed based on MLX layers:

Expert layers (switch_mlp / mlp) are quantized to 3-bit.
The first 5 layers are kept at higher quality (5-bit).
Every 5th layer is medium quality (4-bit).
All other layers (e.g. attention, normalization) remain at 8-bit to serve as the "8-bit brain".

cs2764/MiniMax-M2.5_dq3-mlx

MiniMax-M2.5_dq3

Quantization Methodology (DQ3)

cs2764/
MiniMax-M2.5_dq3-mlx