this post was submitted on 24 Jun 2024
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There were a number of exciting announcements from Apple at WWDC 2024, from macOS Sequoia to Apple Intelligence. However, a subtle addition to Xcode 16 — the development environment for Apple platforms, like iOS and macOS — is a feature called Predictive Code Completion. Unfortunately, if you bought into Apple's claim that 8GB of unified memory was enough for base-model Apple silicon Macs, you won't be able to use it. There's a memory requirement for Predictive Code Completion in Xcode 16, and it's the closest thing we'll get from Apple to an admission that 8GB of memory isn't really enough for a new Mac in 2024.

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[–] [email protected] -2 points 6 months ago (2 children)

I have a macbook air m2 with 8gb of ram and I can even run ollama, never had ram problems, I don't get all the hate

[–] [email protected] 9 points 6 months ago (1 children)

maybe in a browser using external resources. open some chrometabs to feel the pain. apple is a joke.

[–] [email protected] 1 points 5 months ago (1 children)

here you are

vscode + photoshop + illustrator + discord + arc + chrome + screen recording and still no lag

[–] [email protected] 1 points 5 months ago (1 children)

so not a single cool app and yet you own a computer

[–] [email protected] 1 points 5 months ago

wtf does that mean

[–] [email protected] 8 points 6 months ago (1 children)

Which model with how many parameters du you use in ollama? With 8GB you should only be able to use the smallest models, which ist faaaar from ideal:

You should have at least 8 GB of RAM available to run the 7B models, 16 GB to run the 13B models, and 32 GB to run the 33B models.

[–] [email protected] 1 points 5 months ago* (last edited 5 months ago)

llama3:8b, I know it's "far from ideal" but only really specific use cases require more advanced models to run locally, if you do software development, graphic design or video editing 8gb is enough

edit: just tried it after some time and it works better than I remembered showcase