defog-ai/sqlcoder

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

4044 stars · 276 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

SQLCoder is a family of fine-tuned open-weight LLMs that convert natural language questions into SQL queries, outperforming GPT-4 on text-to-SQL benchmarks. It ships as a pip-installable package with a CLI launcher for connecting to databases and querying them visually.

Use cases

• convert natural language questions to SQL queries
• let non-technical users query a database in plain English
• self-host a text-to-SQL model instead of calling GPT-4
• generate SQL for novel database schemas
• run text-to-SQL locally on a GPU or Apple Silicon

When to choose

• you need high-accuracy text-to-SQL generation with open weights you can self-host
• you want to avoid sending schema data to closed LLM APIs
• you have a GPU with 16GB+ VRAM or Apple Silicon for local inference

When to avoid

• you need a general-purpose chat or coding assistant rather than SQL generation
• you cannot run local models and lack budget for GPU inference
• you need guaranteed-correct SQL without validation, since LLM output can still be wrong

Facets

library · maturity active

llm-inference machine-learning nlp database large-language-models databases python windows text-to-sql sql-generation fine-tuned-llm llama open-weights natural-language-processing gpu macos linux

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markdown · JSON · MCP: product_card(name="defog-ai/sqlcoder")