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This demo is possible thanks to some great work from David Koski on MLX swift, and on Swift Jinja and on Swift Transformers (among others).
Smart devs ship global. TranslateKit makes it happen: 
That’s just the plain mlx-swift-example:
Nice cherry picked prompt! 60 tokens/second but 0 intelligence. That’s what you get with RTN quants.
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Mobile AI processing power like this could revolutionize our Mars colony operations. Have you tested memory bottlenecks during extended inference runs? Curious about thermal management in mobile deployment.
It reminds me of fullmoon app. I'm running llama 3.2 3b instruct-4bit pretty fastly on the iphone 15 pro max 
We are so back. DeepSeek is soo back.
Meanwhile it'll probably be iOS 20 or so before the internal AI gets actually decent. Hope they figure it out soon.
Can ask a non stupid question? "What is the ahatonov Bohm effect in quantum mechanics" - In the scaling law for bend increase stiffness as width squared or cubed?
How come Apple can’t figure this out and have to rely on integrating OpenAI in their so called Apple Intelligence? 
AI-first pull request reviewer with context-aware feedback, line-by-line code suggestions, and real-time chat.
Anyway to run it on android? I got 16 gigs ram and I was wondering if I can run a 13b model on my phone
What does “60 tokens a second” mean?
So if I’m understanding right, you took Open Source DeepSeek and loaded it to an iPhone?
Can you explain how to do that?
Quote
FRENTAGON 
@frentagon
@deepseek_ai you guys are
1 prompt see the result.
Deepseek R1 spent 188 seconds of thinking to get to this result. 

Obvs some minor errors but WOW!
#DeepSeek #deepseekr1 #R1 #openai #ai #chatgpt #claude #llama #perplexity #gemini #agentic #AGI
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Is there anything like this for Android?
I guess the newest models can handle it
“Distilled” sounds like putting water in a filter and taking only the purified water 
This is the biggest productivity cheat code right now.
Kiss reading documents goodbye.
You can get an instant summary of any document with this tool.
How to run models loacally (without GPU)? Also where can I find more information abbout model distilling ?
Karpathy said it AGI will fit in a 3B model. These small models know things like hash codes and phone numbers, which is useless for reasoning
lol thinks he's a tech god just cuz he got some fancy mlx swift thingy on his iphone 16. newsflash: just cuz u can run some fancy ai model doesn't mean u can even use it right. btw, what's with the 4-bit model? sounds like something my grandma would use
Has people looked carefully at the source code ? We were worried about TikTok stilling our information and how we are installing a full AI agent developed in China in our phones like it’s nothing .
This is the future. Get the message to #Trump . Not a mega ai center that takes giga watt of energy. Trump is taken for a ride. 100 billion right away gone. 500 billion gone when open source ai on the phone is better and does not take a single watt in power. Brings people jobs
Ask questions on Taiwan and you will see live how censorship in China works. I am amazed people put this app on their phone. The software is controlled by the Chinese government
#Apple’da Lokal Çalışan Yapay Zeka Sohbet Uygulaması: fullmoon
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