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.
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.
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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.
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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
