pavankumarbalijepalli/phi2-sqlcoder

pavankumarbalijepalli/phi2-sqlcoder is a 3 billion parameter causal language model, fine-tuned from Microsoft's Phi-2 architecture. Optimized for Natural Language to SQL (NL2SQL) tasks, it translates natural language questions and database schemas into PostgreSQL queries. This model offers significantly faster inference times and higher execution success rates compared to larger alternatives like SQLCoder-7b-2, making it efficient for CPU-bound environments, though it has a limited context window of 2048 tokens.