EmbeddingGemma 2 oQ
Collection
18 items • Updated
embeddinggemma-2-oQ8
This model was quantized using oQ (oMLX v0.7.1) mixed-precision quantization.
The effective average is 13.258 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 | 0.272B | 36.555% | 0.269 GiB | 8.50 |
| BF16 | 0.472B | 63.445% | 0.880 GiB | 16.00 |
| Total | 0.744B | 100% | 1.149 GiB | 13.258 |
Storage Breakdown
| Component | Logical weights | Storage |
|---|---|---|
| Language model | 0.272B | 0.289 GB / 0.269 GiB |
| Vision | 0.167B | 0.335 GB / 0.312 GiB |
| Audio | 0.305B | 0.610 GB / 0.568 GiB |
| Total | 0.744B | 1.234 GB / 1.149 GiB |
- Downloads last month
- -
Model size
0.7B params
Tensor type
BF16
·
U32 ·
Hardware compatibility
Log In to add your hardware
8-bit
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support