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--- |
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license: apache-2.0 |
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--- |
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# embeddings |
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This is a repo created to keep a collection of quantized bert models in ggml format. |
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### usage |
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You can utilize [bert.cpp](https://github.com/skeskinen/bert.cpp) as usual or use [our new api](https://rapidapi.com/nohakcoffee/api/simple-similarity) to quickly prototype on real use-case scenarios for text similarity. |
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### embeddings sample |
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``` |
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./main -m small -p "word" |
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// [0.0698, -0.0024, -0.0153, 0.0193, -0.1060, -0.0278, 0.1424, -0.0056, -0.0536... |
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``` |
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### api reference |
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| api | size | |
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| ---- | ---- | |
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| nano | 11.2 | |
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| small | 14.5 | |
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| medium | 21.3 | |
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| large | 68.8 | |
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We are planning to update the list to always support the lastest open-source models on the repo and api. |
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As of 02/20/2024 large model outpus are highly biased towards positive numbers, we are still researching why, nano, small and medium models are working as expected. |
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### api sample |
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``` |
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// semantic relationship between "I love this" and "I hate this" |
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nano: 0.4614074121704735 |
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small: 0.6553150807627873 |
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medium: 0.8263292187144999 |
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large: 0.8567815005348627 |
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``` |
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Note: the api is only for prototyping as of now, we are currently working on scaling things up soon. |
