Model comparison
all-MiniLM-L6-v2 vs mxbai-embed-xsmall-v1
These two publish different quantization sets; the table below has the exact sizes.
From the file· summed bytes, KV per layer
Side by side
| all-MiniLM-L6-v2 | mxbai-embed-xsmall-v1 | |
|---|---|---|
| Parameters | 23M | 24M |
| Architecture | bert | bert |
| Layers | 6 | 6 |
| Native context | 512 | 4,096 |
| Mixture of experts | no | no |
| Quantizations published | 28 | 4 |
| Smallest quantization | 0.02 GiB | 0.03 GiB |
| Q4_K_M | 0.02 GiB | — |
| Licence | apache-2.0 | apache-2.0 |
KV cache by context
the term that decides long-context viability
| Context | all-MiniLM-L6-v2 | mxbai-embed-xsmall-v1 | Ratio |
|---|---|---|---|
| 4,096 | 0.04 GiB | 0.04 GiB | 1.00× |
| 8,192 | 0.07 GiB | 0.07 GiB | 1.00× |
| 16,384 | 0.14 GiB | 0.14 GiB | 1.00× |
| 32,768 | 0.28 GiB | 0.28 GiB | 1.00× |
| 65,536 | 0.56 GiB | 0.56 GiB | 1.00× |
| 131,072 | 1.13 GiB | 1.13 GiB | 1.00× |