EmbeddingGemma 2 oQ
Collection
18 items • Updated
embeddinggemma-2-oQ2
This model was quantized using oQ (oMLX v0.7.1) mixed-precision quantization.
The effective average is 11.553 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 | 0.183B | 24.581% | 0.053 GiB | 2.50 |
| Affine 3-bit, group 64 | 0.004B | 0.563% | 0.002 GiB | 3.50 |
| Affine 4-bit, group 64 | 0.019B | 2.536% | 0.010 GiB | 4.50 |
| Affine 5-bit, group 64 | 0.018B | 2.465% | 0.012 GiB | 5.50 |
| Affine 6-bit, group 64 | 0.010B | 1.338% | 0.008 GiB | 6.50 |
| Affine 8-bit, group 64 | 0.038B | 5.071% | 0.037 GiB | 8.50 |
| BF16 | 0.472B | 63.445% | 0.880 GiB | 16.00 |
| Total | 0.744B | 100% | 1.001 GiB | 11.553 |
Storage Breakdown
| Component | Logical weights | Storage |
|---|---|---|
| Language model | 0.272B | 0.131 GB / 0.122 GiB |
| Vision | 0.167B | 0.335 GB / 0.312 GiB |
| Audio | 0.305B | 0.610 GB / 0.568 GiB |
| Total | 0.744B | 1.075 GB / 1.001 GiB |
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Model size
0.7B params
Tensor type
BF16
·
U32 ·
Hardware compatibility
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2-bit
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