Pick and Quantise a Small Model for On-Device AI: A GGUF Guide
1Key Takeaways
- Originally published on AI Tech Connect .
- What you need to know Running a language model on the hardware you already own — a laptop, a single consumer GPU, an Apple Silicon Mac, or a small edge box on a factory floor — is no longer a research curiosity.
- It is a deployment pattern that ships.
- The two decisions that make or break it are which model you choose and how aggressively you quantise it.
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that originally published on AI Tech Connect .
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