embeddinggemma-2-oQ4e
This model was quantized using oQ (oMLX v0.7.1.dev1) mixed-precision quantization.
The effective average is 11.991 bits/weight for the complete checkpoint.
Quantization and Bit Distribution
| Storage format | Logical weights | Share of total | Tensor storage | Effective bits/weight |
|---|---|---|---|---|
| Affine 4-bit, group 64 | 0.211B | 28.314% | 0.110 GiB | 4.50 |
| Affine 5-bit, group 64 | 0.033B | 4.367% | 0.021 GiB | 5.50 |
| Affine 6-bit, group 64 | 0.002B | 0.211% | 0.001 GiB | 6.50 |
| Affine 8-bit, group 64 | 0.027B | 3.663% | 0.027 GiB | 8.50 |
| BF16 | 0.472B | 63.445% | 0.880 GiB | 16.00 |
| Total | 0.744B | 100% | 1.039 GiB | 11.991 |
Storage Breakdown
| Component | Logical weights | Storage |
|---|---|---|
| Language model | 0.272B | 0.171 GB / 0.160 GiB |
| Vision | 0.167B | 0.335 GB / 0.312 GiB |
| Audio | 0.305B | 0.610 GB / 0.568 GiB |
| Total | 0.744B | 1.116 GB / 1.039 GiB |
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Model size
0.7B params
Tensor type
BF16
·
U32 ·
Hardware compatibility
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4-bit
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Model tree for zviratko/embeddinggemma-2-oQ4e
Base model
google/embeddinggemma-2