Ling-3.0-tiny-oQ4e

This model was quantized using oQ (oMLX v0.7.2) mixed-precision quantization.

The effective average is 4.700 bits/weight for the complete checkpoint.

Quantization and Bit Distribution

Storage format Logical weights Share of total Tensor storage Effective bits/weight
Affine 4-bit, group 64 7.433B 94.170% 3.894 GiB 4.50
Affine 5-bit, group 64 0.007B 0.092% 0.005 GiB 5.50
Affine 6-bit, group 64 0.122B 1.541% 0.092 GiB 6.50
Affine 8-bit, group 64 0.331B 4.190% 0.327 GiB 8.50
BF16 0.001B 0.007% 0.001 GiB 16.00
FP32 0.000B 0.000% 0.000 GiB 32.00
Total 7.893B 100% 4.319 GiB 4.700

Storage Breakdown

Component Logical weights Storage
Language model 7.893B 4.638 GB / 4.319 GiB
Total 7.893B 4.638 GB / 4.319 GiB
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Tensor type
U32
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BF16
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F32
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MLX
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4-bit

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