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maikaarda/gte-base-ggml
gte-base-ggml is a machine learning model from maikaarda. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
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Updated Aug 9, 2023
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From the Hugging Face model README
ggml files of thenlper/gte-base
You can use this ggml for https://github.com/skeskinen/bert.cpp
| Data Type | STSBenchmark | eval time | EmotionClassification | eval time |
|---|---|---|---|---|
| f32 | 0.8571 | 38.98 | 0.5087 | 69.09 |
| f16 | 0.8571 | 33.06 | 0.5086 | 53.57 |
| q4_0 | 0.8580 | 25.28 | 0.5171 | 69.32 |
| q4_1 | 0.8581 | 28.12 | 0.5113 | 66.38 |
| 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 |
| 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 |
| 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 |