---
license: apache-2.0
language:
- en
base_model:
- Qwen/Qwen3-4B-Thinking-2507
pipeline_tag: text-generation
library_name: transformers
---
# Lightning-4b - Your Local data analysis agent

[![GitHub](https://img.shields.io/badge/GitHub-Repository-blue?logo=github)](https://github.com/quelmap-inc/quelmap) 
[![License](https://img.shields.io/badge/License-Apache%202.0-yellow)](https://opensource.org/licenses/Apache-2.0)

![image/svg](.assets/lightning-logo2.svg)

## Overview
Lightning-4b is a language model specifically designed and trained for data analysis tasks on local devices. With just a laptop (fully tested on an M4 MacBook Air with 16GB RAM), you can process data without ever sending it to major LLM provider.
### What it can do
- Data visualization    
- Table joins
- t-tests
- Unlimited rows, 30+ tables analyzed simultaneously
### What it cannot do
- Business reasoning or management decision-making advice
- Multi-turn analysis

To use this model, install [quelmap](https://github.com/quelmap-inc/quelmap) on your device.  
Quelmap is an open-source data analysis assistant with every essential features like data upload and an built-in python sandbox.  
For installation instructions, see the [Quick Start](https://quelmap.com/quickstart).
![image/gif](.assets/preview.gif)
### Performance
This model was trained specifically for use with [quelmap](https://github.com/quelmap-inc/quelmap).  
It was evaluated using a sample database and 122 analysis queries, and achieved performance surpassing models with **50x more parameters**.

For details about the model and its training process, see the [Lightning-4b Details](https://quelmap.com/lightning-4b) page.

![image/svg](.assets/lightning.svg)

### Running Model on your machine
You can easily install Lightning-4b and quelmap by following the [Quick Start](https://quelmap.com/quickstart).

Lightning-4b has multiple quantization versions depending on your hardware.  
It runs smoothly on laptops, and on higher-spec machines it can handle more tables (30+ tables) and longer chat histories.

Example Specs and Model Versions
- Laptop (e.g. mac book air 16GB) - 4bit Quantization + 10,240 Context Window
```
ollama pull hf.co/quelmap/Lightning-4b-GGUF-short-ctx:Q4_K_M
```
- Gaming Laptop - 4bit Quantization + 40,960 Context Window
```
ollama pull hf.co/quelmap/Lightning-4b-GGUF:Q4_K_M
```
- Powerful PC with GPU - No Quantization + 40,960 Context Window
```
ollama pull hf.co/quelmap/Lightning-4b-GGUF:F16
```

For more details, please refer to the  [Lightning-4b Details](https://quelmap.com/lightning-4b) page.