Ling 3.0 Tiny oQ
Collection
18 items • Updated
Ling-3.0-tiny-oQ2.7
This model was quantized using oQ (oMLX v0.7.2) mixed-precision quantization.
The effective average is 3.259 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 | 6.644B | 84.169% | 1.934 GiB | 2.50 |
| Affine 3-bit, group 64 | 0.302B | 3.826% | 0.123 GiB | 3.50 |
| Affine 8-bit, group 64 | 0.947B | 11.998% | 0.937 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% | 2.995 GiB | 3.259 |
Storage Breakdown
| Component | Logical weights | Storage |
|---|---|---|
| Language model | 7.893B | 3.216 GB / 2.995 GiB |
| Total | 7.893B | 3.216 GB / 2.995 GiB |
- Downloads last month
- 21
Model size
8B params
Tensor type
U32
·
BF16 ·
F32 ·
Hardware compatibility
Log In to add your hardware
2-bit
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support