Ling-3.0-tiny-oQ5e

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

The effective average is 5.707 bits/weight for the complete checkpoint.

Quantization and Bit Distribution

Storage format Logical weights Share of total Tensor storage Effective bits/weight
Affine 5-bit, group 64 7.339B 92.976% 4.699 GiB 5.50
Affine 6-bit, group 64 0.017B 0.211% 0.013 GiB 6.50
Affine 8-bit, group 64 0.537B 6.806% 0.532 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% 5.244 GiB 5.707

Storage Breakdown

Component Logical weights Storage
Language model 7.893B 5.631 GB / 5.244 GiB
Total 7.893B 5.631 GB / 5.244 GiB
Downloads last month
15
Safetensors
Model size
8B params
Tensor type
U32
·
BF16
·
F32
·
MLX
Hardware compatibility
Log In to add your hardware

5-bit

Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Collection including bambocher/Ling-3.0-tiny-oQ5e