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# Struct-SQL-8B: Knowledge Distillation with Structured Chain-of-Thought
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**Struct-SQL** is a specialized Text-to-SQL model based on **Qwen3-4B-Instruct
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Unlike standard distillation methods that rely on unstructured Chain-of-Thought (CoT), Struct-SQL learns to generate a formal, logical blueprint (a query plan) before generating the final SQL. This approach significantly reduces syntactic errors and schema hallucinations.
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# Struct-SQL-8B: Knowledge Distillation with Structured Chain-of-Thought
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**Struct-SQL** is a specialized Text-to-SQL model based on [**Qwen3-4B-Instruct-2507**](https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507). It was trained using a novel Knowledge Distillation (KD) framework that transfers **structured reasoning** (Query Execution Plans) from a state-of-the-art teacher LLM (GPT-4o) to a smaller student model.
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Unlike standard distillation methods that rely on unstructured Chain-of-Thought (CoT), Struct-SQL learns to generate a formal, logical blueprint (a query plan) before generating the final SQL. This approach significantly reduces syntactic errors and schema hallucinations.
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