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Model: build-small-hackathon/lfed-qwen2.5-coder-7b-sql-gguf
Source: Original Platform

README.md

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+---
+tags:
+- text-to-sql
+- education
+- local-first
+- llama-cpp
+- duckdb
+- gguf
+- qwen
+- qlora
+language: en
+license: apache-2.0
+pipeline_tag: text-generation
+---
+
+# LFED — Qwen2.5-Coder-7B Text-to-SQL (GGUF)
+
+Fine-tuned on Q4_K_M for duckdb SQL generation from natural-language
+questions about school district data (enrollment, attendance, chronic absenteeism).
+
+**Base model**: Qwen2.5-Coder-7B-Instruct
+**Fine-tuning**: Unsloth QLoRA (r=16, alpha=16) on ~1,200 synthetic NL→SQL pairs
+**Format**: GGUF Q4_K_M (~4.4 GB)
+**Use with**: llama.cpp, Ollama, LM Studio
+
+## Usage
+
+```python
+from llama_cpp import Llama
+
+llm = Llama(
+    model_path="lfed-qwen2.5-coder-7b-sql-Q4_K_M.gguf",
+    n_ctx=4096,
+)
+```
+
+## Schema
+
+- `enrollment(school_year, school_name, grade_level, student_count)`
+- `attendance(student_id, school_name, school_year, absence_count, is_chronically_absent)`