# SQL Generation

XiYanSQL-QwenCoder-3B-2504 is the latest SQL generation model released by XGenerationLab. Optimized through fine-tuning and GRPO training, it supports multiple dialects and delivers efficient and accurate SQL generation capabilities.

This is the GGUF format quantized version of the defog/sqlcoder-7b-2 model, primarily used for SQL code generation tasks.

Sqlcoder is a model developed by Defog.ai, specializing in SQL code generation. Based on the StarCoder architecture, it can convert natural language queries into SQL statements.

SQL generation model fine-tuned from Salesforce/codegen-350M-multi, specializing in JOIN operation generation

TAPAS is a Transformer-based table question answering model, pre-trained in a self-supervised manner on English Wikipedia table data and fine-tuned with supervision on the WikiSQL dataset.

TAPAS is a BERT-based Transformer model specifically designed for table question answering tasks. It is pre-trained in a self-supervised manner on English Wikipedia table data and supports weakly supervised table parsing.

TAPAS is a BERT-like Transformer model designed for table-based question answering tasks. It is pre-trained in a self-supervised manner on English Wikipedia table corpora and fine-tuned on the WikiSQL dataset.