Best Local LLM for SQL Query Generation
Self-hosted models that turn plain-English questions into SQL for PostgreSQL, MySQL, SQLite, and DuckDB, with BIRD-SQL results, licences, and RAM needs.
Signal in the noise
Privacy-focused analysis, local-model guides, hands-on tests, and honest assessments. We cite our sources and cut the hype.
Self-hosted models that turn plain-English questions into SQL for PostgreSQL, MySQL, SQLite, and DuckDB, with BIRD-SQL results, licences, and RAM needs.
From Spirit Airlines' archive to a small crypto firm's Slack, data from failed companies is being resold to AI labs, with few legal limits.
Speculative decoding strategies for local LLMs: how draft models, EAGLE-3, DFlash, and n-gram matching speed up llama.cpp and vLLM, and when each one helps.
Demos show Raven (formerly GeoSpy) matching one interior photo to a specific Airbnb, Vrbo, or Zillow listing. LAPD and Miami-Dade have bought access.
Plug a local Ollama model into Obsidian, Joplin, Logseq, or Notion so notes never leave your machine. Plugins that work, ones that do not, and what each costs.
JSON mode, GBNF grammar-constrained decoding, and OpenAI-style tool calling across Ollama, llama-server, LM Studio, and vLLM.
Run a proofreading LLM on your laptop so drafts, manuscripts, and sensitive documents never leave your machine. Models, front ends, and what each tier gets you.