build-small-hackathon/lfed-qwen2.5-coder-7b-sql-gguf overview
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, …
Runs locally from ~4.36 GB disk (8 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
Model Details
| Model ID | build-small-hackathon/lfed-qwen2.5-coder-7b-sql-gguf |
|---|---|
| Author | build-small-hackathon |
| Pipeline | text-generation |
| License | apache-2.0 |
| Base model | — |
| Last modified | 2026-06-08T05:17:49.000Z |
Model README
---
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
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)
Run build-small-hackathon/lfed-qwen2.5-coder-7b-sql-gguf with guIDE
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Source: Hugging Face · Compare models