d1-2B-MLX-oQ8e

This model was quantized using oQ (oMLX v0.7.3) mixed-precision quantization.

The effective average is 9.242 bits/weight for the complete checkpoint.

Quantization and Bit Distribution

Storage format Logical weights Share of total Tensor storage Effective bits/weight
Affine 8-bit, group 64 1.728B 90.107% 1.710 GiB 8.50
BF16 0.190B 9.893% 0.353 GiB 16.00
Total 1.918B 100% 2.064 GiB 9.242

Storage Breakdown

Component Logical weights Storage
Language model 1.729B 1.837 GB / 1.711 GiB
Vision 0.189B 0.379 GB / 0.353 GiB
Total 1.918B 2.216 GB / 2.064 GiB
Downloads last month
31
Safetensors
Model size
2B params
Tensor type
U32
ยท
BF16
ยท
MLX
Hardware compatibility
Log In to add your hardware

8-bit

Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support