build-small-hackathon/lfed-qwen2.5-coder-7b-sql-gguf

LFED — Qwen2.5-Coder-7B Text-to-SQL (GGUF)

Fine-tuned on Q4KM 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 Q4KM (~4.4 GB) Use with: llama.cpp, Ollama, LM Studio

Usage

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)