AI Model Sizing Rule of Thumb

When running local AI models, a useful rule of thumb: you need roughly 3x the model size in RAM to handle back-and-forth messaging.

Memory Requirements

A 15GB model needs approximately 48GB total RAM
Add an extra ~3GB for a 32K context window
Without GPU acceleration, inference is very slow

Smaller Models for Edge Devices

Some lightweight models can run on mobile devices:

DeepSeek R1 1.5B
DeepSeek R1 3.2B

These are useful for offline scenarios or when sending data to cloud APIs isn't acceptable.

The Math

Base model: 15GB
Conversation overhead: ~2x (30GB)
Context window (32K): ~3GB
--------------------------------
Total recommended: ~48GB

The Lesson

Plan your infrastructure around the conversation memory, not just the model weights. The gap between "model loads" and "model is usable" is significant.

Created 2026-04-11T07:23:17+00:00 · Edit

AI Model Sizing Rule of Thumb

Memory Requirements

Smaller Models for Edge Devices

The Math

The Lesson

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