SQLCoder 7B 2
About
SQLCoder-7B-2 is a large language model developed by Defog, Inc., designed to translate natural language questions into SQL queries, effectively bridging the gap for non-technical users to interact with databases. With its 7 billion parameters, this model is fine-tuned from the CodeLlama-7B base and operates efficiently on consumer-grade hardware. Its key capabilities include high accuracy in text-to-SQL tasks, particularly with complex queries like joins, while focusing on PostgreSQL syntax. SQLCoder-7B-2 is accessible via open-source platforms like Hugging Face and integrates with tools to facilitate user-friendly database querying interfaces. However, it is primarily a translator and requires schema descriptions for effective query generation, with some limitations such as database system specificity and not functioning as an analyst.
Capabilities
Providers(1)
| Provider | Input (per 1M) | Output (per 1M) | Type | |
|---|---|---|---|---|
| Cloudflare Workers AI | — | — | Serverless |