The LLaMA Family: Open Weights That Reset the Industry
For years the best AI models were locked away — you could only rent them through an API. Meta's Llama line (2023-2025) changed that by publishing the trained weights for anyone to download and run, from phones (1B) to flagships (405B and the MoE Llama 4). The lesson of the family: an AI wins not just by being smart, but by being free to host and easy to build on.
01.The Problem: The Best Models Were Locked Behind a Counter
Imagine you want AI inside your product.
In early 2023 you had one real option: call a big company's API. Their model lives in their datacenter. Your text travels to their servers. You pay their price per message. And if they raise prices or change the rules, you can do nothing about it.
So the question every startup engineer had was
Can I get a genuinely good model that lives on MY servers, under MY control?
"Open source" software had already changed computing — Linux, Apache, MySQL. You download the code, run it yourself, modify it freely.
But AI models are not mostly code. They are mostly weights.
Weights are the billions of numbers a model learns during training — the actual "knowledge." The code (the architecture) was often public, but the trained numbers were the secret.
Open weights means the learned numbers themselves are published for anyone to download, run, and modify — usually under a license.
That single change is what the Llama story is about.
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