this post was submitted on 24 Jun 2024
741 points (95.6% liked)

Technology

59534 readers
3223 users here now

This is a most excellent place for technology news and articles.


Our Rules


  1. Follow the lemmy.world rules.
  2. Only tech related content.
  3. Be excellent to each another!
  4. Mod approved content bots can post up to 10 articles per day.
  5. Threads asking for personal tech support may be deleted.
  6. Politics threads may be removed.
  7. No memes allowed as posts, OK to post as comments.
  8. Only approved bots from the list below, to ask if your bot can be added please contact us.
  9. Check for duplicates before posting, duplicates may be removed

Approved Bots


founded 1 year ago
MODERATORS
 

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.

you are viewing a single comment's thread
view the rest of the comments
[–] sverit@lemmy.ml 8 points 4 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.

[–] ssebastianoo@programming.dev 1 points 4 months ago* (last edited 4 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