
u/Clementine-TeX

The vegetable-yeeting department’s newest vegetable artillery
Too good to be true? Bakit ang daming followers?
I’ve seen ads of this page on Instagram a few times now. They claim that they’re DTI verified in their bio. Pero bakit sobrang mura and andaming followers? Scam and bots? Stolen?
Stack staples high, and a miniature city rises from darkness.
Just missing the Hasselblad logo.
Where is Version 7?
I don’t visit this subreddit very often (maybe once every couple of years), but I just spent like 45 minutes trying to find Version 7 of what I think is Healthcare of the Transgender Patient (I have a copy of Version 5.4 and Version 6 saved on my computer from years ago). Aside from the leaks/previews, I can't find Version 7 anywhere (not on this subreddit, his site, or the internet.
Is it a patient-only file? As in, do you have to be one of his patients to get access to it?
Thanks.
Behind every FPV video there's a ton of editing
Saw a strangely blue "star" in the sky so I took a photo with my Dobsonian, anyone know what it is?
The mess making department’s newest contraption
Nona’s family is supportive
New Vault Imported From Notion
New to Obsidian. Just thought this looks cool.
oMLX is so good and efficient ! it’s just like having 500 Nvidia H100’s !!!
p.s. this is obviously a joke
M5 Pro, 24 GB UM (17.76 GB VRAM). Help Needed.
I’m on the 14” M5 Pro (15-Core CPU, 16-Core GPU) MacBook Pro with 24 GB unified memory, which according to LM Studio’s System Hardware section gives me 17.76 GB of VRAM.
The models I’m most interested in are (from most to least):
- Qwen3.5-9B-OptiQ-4bit - For general use (thinking)
- Gemma-4-12B-it-OptiQ-4bit - For general use (thinking)
- Qwen3.6-27B-MLX-4bit - For general use (thinking), and some coding (non-thinking)
- Gemma-4-26B-A4B-it-OptiQ-4bit - For general use (thinking)
- Qwen3-Coder-30B-A3B-Instruct-MLX-4bit - For coding (non-thinking)
My goal is basically to have a local ChatGPT/Claude “replacement” that’s actually useful day-to-day.
Things I care about:
- Everything staying local
- No API costs
- Vibe Coding help
- Large LaTeX Manuscript Formatting/Writing
- Web Re/search
- As much context as I can realistically get on this hardware
I’ve been tried LM Studio, but noticed that even the 9B models eat up RAM and swap at longer context lengths. Not to mention, they can often get into long loops about nonsense.
As such, I’m considering switching to oMLX, and connecting the models to the internet (to prevent those loops and hallucinations). How shall I go by doing that given my requirements?
I know I shouldn’t expect much, but that’s why I want to maximize what I have, especially since the RAM is a huge bottleneck for me. But I didn’t buy this specifically for Local AI use -- only got interested in it after the fact.
Any advice is appreciated. Thanks.
(P.S. I used AI to revise this post for clarity. English isn’t my first language.)
So... How much storage do I have remaining, really?
System Settings, Disk Utility, and Finder’s Status Bar all display different free storage values.
Running First Aid on the Disk doesn’t seem to fix the problem. I have nothing on iCloud. I don’t use Time Machine on the Mac itself. Any fixes?
So... How much storage do I have remaining, really?
System Settings, Disk Utility, and Finder’s Status Bar all display different free storage values.
Running First Aid on the Disk doesn’t seem to fix the problem. I have nothing on iCloud. I don’t use Time Machine on the Mac itself. Any fixes?
So... How much storage do I have remaining, really?
System Settings, Disk Utility, and Finder’s Status Bar all display different free storage values.
Running First Aid on the Disk doesn’t seem to fix the problem. I have nothing on iCloud. I don’t use Time Machine on the Mac itself. Any fixes?
“You Can’t Game on a Mac”, They Said. (Base M5 Pro)
Minecraft 26.1.2: Fabric & Sodium through Prism, Fabulously Optimized, Complementary Unbound 5.7.1 (High), 32 Chunks for Both Render and Simulation Distance, Sodium Reduce Resolution, Capped at 60 FPS to Limit Jitter, 8 GB of Allocated RAM
DBrand 1984
First purchase from DBrand, their Limited Edition 1984 Skin for the 14" M5 Pro. This thing looks great (in my opinion)! Though, t’was a pain in the ass to install.