---
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)`