this post was submitted on 24 Jan 2025
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Yep, exactly. Every llm has a 'cut off date' which is the last day that the data used to make the model was updated.
How big are the files for the finished model, do you know?
That's a great question! The models come in different sizes, where one 'foundational' model is trained, and that is used to train smaller models. US companies generally do not release the foundational models (I think) but meta, Microsoft, deepseek, and a few others will release smaller ones available on ollama.com. A rule of thumb is that 1 billion parameters is about 1 gigabyte. The foundational models are hundreds of billions if not trillions of parameters, but you can get a good model that is 7-8 billion parameters, small enough to run on a gaming gpu.
Thanks!