it is a natural language-to-SQL conversion model optimized specifically for Chinese and English users. It is based on the llama-3-chinese-8b-instruct-v3 model. We used the latest optimization algorithms to improve the performance of the model, especially in handling complex queries and multi-table joins. — Bilingual support: Ability to handle natural language queries in both Chinese and English languages. — High accuracy: After a large number of tests on actual database queries, it has been proved that the SQL statements generated have high accuracy. Training data for the model comes from multiple sources, including: — Open source databases (such as WikiSQL, Spider) — Internally generated dataset covering a variety of query types and complexities — User feedback data for continuous improvement of model performance Training data is strictly screened and cleaned to ensure data quality and diversity. Test results on multiple benchmark datasets show the model exceeds other existing models in terms of accuracy and generation efficiency. For example: — On the WikiSQL dataset, the model achieved an execution accuracy rate of 87.5%. — On the Spider dataset, the model achieved an execution…
Модальности:
Генерация текста
Области применения:
Текст в SQL Диалог / чат
Задача: Генерация текста
Автор: xbrain
Теги: llama, text2sql, conversational, en, zh, text-generation-inference, endpoints_compatible
Лайков: 3 | Загрузок: 19
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
