Ling-3.0-tiny-oQ6

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

The effective average is 6.700 bits/weight for the complete checkpoint.

Quantization and Bit Distribution

Storage format Logical weights Share of total Tensor storage Effective bits/weight
Affine 6-bit, group 64 7.106B 90.020% 5.377 GiB 6.50
Affine 8-bit, group 64 0.787B 9.973% 0.779 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% 6.157 GiB 6.700

Storage Breakdown

Component Logical weights Storage
Language model 7.893B 6.611 GB / 6.157 GiB
Total 7.893B 6.611 GB / 6.157 GiB
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Model size
8B params
Tensor type
U32
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BF16
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F32
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MLX
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6-bit

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