Ling-3.0-tiny-oQ2.5e

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

The effective average is 3.153 bits/weight for the complete checkpoint.

Quantization and Bit Distribution

Storage format Logical weights Share of total Tensor storage Effective bits/weight
Affine 2-bit, group 64 6.946B 87.995% 2.021 GiB 2.50
Affine 4-bit, group 64 0.134B 1.693% 0.070 GiB 4.50
Affine 8-bit, group 64 0.813B 10.305% 0.805 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% 2.897 GiB 3.153

Storage Breakdown

Component Logical weights Storage
Language model 7.893B 3.111 GB / 2.897 GiB
Total 7.893B 3.111 GB / 2.897 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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2-bit

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