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How far do on-premises open LLMs get on Text-to-SQL? A cross-family size and technique frontier on BIRD
Organizations that cannot send data to a cloud API need to know how well self-hosted open-weight models perform on Text-to-SQL and which inexpensive techniques justify their compute. We benchmark Qwen2.5-Coder-Instruct (7B, 14B, 32B) and CodeLlama-Instruct (7B, 13B) self-hosted at 16-bit precision,
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