---
license: mit
---
ggml files of [thenlper/gte-small](https://huggingface.co/thenlper/gte-small)

You can use this ggml for https://github.com/skeskinen/bert.cpp


### gte-small
| Data Type | STSBenchmark | eval time | EmotionClassification | eval time |
|-----------|-----------|------------|-----------|------------|
| f32 | 0.8554 | 12.40 | 0.4808 | 26.39 |
| f16 | 0.8555 | 11.29 | 0.4808 | 18.48 |
| q4_0 | 0.8537 | 9.22 | 0.4860 | 43.92 |
| q4_1 | 0.8543 | 10.01 | 0.4832 | 38.33 |

### all-MiniLM-L12-v2
| Data Type | STSBenchmark | eval time | EmotionClassification | eval time |
|-----------|-----------|------------|-----------|------------|
| f32 | 0.8306 | 13.36 | 0.4117 | 21.23 |
| f16 | 0.8306 | 11.51 | 0.4119 | 20.08 |
| q4_0 | 0.8310 | 11.27 | 0.4183 | 20.81 |
| q4_1 | 0.8325 | 12.37 | 0.4093 | 19.38 |

### all-MiniLM-L6-v2
| Data Type | STSBenchmark | eval time | EmotionClassification | eval time |
|-----------|-----------|------------|-----------|------------|
| f32 | 0.8201 | 6.83 | 0.4082 | 11.34 |
| f16 | 0.8201 | 6.17 | 0.4085 | 10.28 |
| q4_0 | 0.8175 | 5.45 | 0.3911 | 10.63 |
| q4_1 | 0.8223 | 6.79 | 0.4027 | 11.41 |

### bert-base-uncased
| Data Type | STSBenchmark | eval time | EmotionClassification | eval time |
|-----------|-----------|------------|-----------|------------|
| f32 | 0.4738 | 52.38 | 0.3361 | 88.56 |
| f16 | 0.4739 | 33.24 | 0.3361 | 55.86 |
| q4_0 | 0.4940 | 33.93 | 0.3375 | 57.82 |
| q4_1 | 0.4612 | 36.86 | 0.3318 | 59.63 |