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| license: mit |
| pipeline_tag: text-generation |
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| # Advanced FastText Modification |
| colab:https://colab.research.google.com/drive/1apd0UFutEqBMG_7t_60QJAoxWxNdc1yr#scrollTo=GayYJ9VeJms7 |
| ## Overview |
| This software is an **innovative version of FastText**, optimized to use its classification system for **fast and efficient word prediction**. With capabilities that can surpass modern language models, it delivers exceptional performance. |
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| ## Model Training |
| - **Data Used:** The models were trained with more than **20,000 question and answer (QA) interactions** from the **Wizard Evo instruct** dataset. |
| - **Focus on Dynamic Learning:** This approach guarantees in-depth understanding in contexts of dialogue and interaction. |
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| ## Processing Capacity |
| - **Speed:** 800 tokens/thread/second. |
| - **Performance on Common Hardware:** On a notebook with 16 threads, the program processes approximately **50 billion tokens per hour**. |
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| ## Learning and Testing |
| - **Learning:** Evidence points to an ability to **learn robustly**. |
| - **Testing:** The software is still in the early testing phases, but preliminary results are promising. |
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| This project is constantly evolving and we welcome any feedback or contributions from the community! |
