Lightning-4b - Your Local data analysis agent
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 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.
Performance
This model was trained specifically for use with 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 page.
Running Model on your machine
You can easily install Lightning-4b and quelmap by following the Quick Start.
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 page.