ggml files of thenlper/gte-large
You can use this ggml for https://github.com/skeskinen/bert.cpp
gte-large
Data Type | STSBenchmark | eval time | EmotionClassification | eval time |
---|---|---|---|---|
f32 | 0.8606 | 127.58 | 0.5060 | 199.61 |
f16 | 0.8606 | 103.89 | 0.5060 | 169.68 |
q4_0 | 0.8589 | 80.85 | 0.5037 | 157.05 |
q4_1 | 0.8605 | 90.13 | 0.5107 | 162.59 |
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 |
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