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tags:
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- unsloth
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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license: mit
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base_model: microsoft/Phi-3-mini-4k-instruct
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tags:
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- text-to-sql
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- natural-language-to-sql
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- phi-3
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- unsloth
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- gguf
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- ollama
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- logic
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datasets:
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- b-mc2/sql-create-context
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language:
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- en
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library_name: unsloth
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pipeline_tag: text-generation
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# Phi-3-SQL-Expert (GGUF)
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This is a specialized **Text-to-SQL** model fine-tuned from the **Microsoft Phi-3-mini-4k-instruct** architecture. It has been optimized using **Unsloth** to provide high-accuracy SQL generation while remaining lightweight enough to run on consumer hardware.
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## 🚀 Key Features
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- **Architecture:** Phi-3-mini (3.8B parameters)
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- **Quantization:** Q4_K_M GGUF (Optimized balance of speed and logic)
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- **Fast Training:** Fine-tuned using [Unsloth](https://github.com/unslothai/unsloth).
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- **Format:** GGUF (Ready for Ollama, LM Studio, and llama.cpp)
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## 🛠 Usage Instructions
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### 1. Ollama (Recommended)
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To deploy locally:
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1. Download the `.gguf` file.
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2. Create a file named `Modelfile` and paste the following:
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```dockerfile
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FROM ./phi-3-mini-4k-instruct.Q4_K_M.gguf
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TEMPLATE """<|system|>
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You are a helpful assistant that writes SQL queries. Given a user question and a table schema, output only the SQL code.<|end|>
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<|user|>
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{{ .Prompt }}<|end|>
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<|assistant|>
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"""
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PARAMETER stop "<|end|>"
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PARAMETER temperature 0.1
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PARAMETER num_ctx 2048
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