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Ollama is now powered by MLX on Apple Silicon in preview

ollama.com

21–30 of 384 posts

Re: Ollama is now powered by MLX on Apple Silicon in preview

#21
post #11

Earlier quoted context omitted.

You can run Qwen3.5-35B-A3B on 32GB of RAM sure, although to get 'Claude Code' performance, which I assume he means Sonnet or Opus level models in 2026, this will likely be a few years away before its runnable locally (with reasonable hardware).

I fully agree, I run that one with Q4 on my MBP, and the performance (including quality of response) is a let down. I am wondering how people rave so much about local "small devices" LLM vs what codex or Claude code are capable of. Sadly there are too much hype on local LLM, they look great for 5min tests and that's it.

Just train it better with AGENTS.md

Re: Ollama is now powered by MLX on Apple Silicon in preview

#25
post #15

Earlier quoted context omitted.

It isn't going to replace cloud LLMs since cloud LLMs will always be faster in throughput and smarter. Cloud and local LLMs will grow together, not replace each other. I'm not convinced that local LLMs use less electricity either. Per token at the same level of intelligence, cloud LLMs should run circles around local LLMs in efficiency. If it doesn't, what are we paying hundreds of billions of dollars for? I think lo…

Looking at downvotes I feel good about SDE future in 3-5 years. We will have a swamp of "vibe-experts" who won't be able to pay 100K a month to CC. Meanwhile, people who still remember how to code in Vim will (slowly) get back to pre-COVID TC levels.

What is CC and TC? I have not heard these abbreviations (except for CC to mean credit card or carbon copy, neither of which is what I think you mean here).

Re: Ollama is now powered by MLX on Apple Silicon in preview

#27
post #15

Earlier quoted context omitted.

Looking at downvotes I feel good about SDE future in 3-5 years. We will have a swamp of "vibe-experts" who won't be able to pay 100K a month to CC. Meanwhile, people who still remember how to code in Vim will (slowly) get back to pre-COVID TC levels.

What is CC and TC? I have not heard these abbreviations (except for CC to mean credit card or carbon copy, neither of which is what I think you mean here).

I figured it out from context clues

CC: Claude Code

TC: total comp(ensation)

Re: Ollama is now powered by MLX on Apple Silicon in preview

#28

LLMs on device is the future. It's more secure and solves the problem of too much demand for inference compared to data center supply, it also would use less electricity. It's just a matter of getting the performance good enough. Most users don't need frontier model performance.

You could argue that the only reason we have good open-weight models is because companies are trying to undermine the big dogs, and they are spending millions to make sure they dont get too far ahead. If the bubble pops then there wont be incentive to keep doing it.

[dead]

Re: Ollama is now powered by MLX on Apple Silicon in preview

#29
post #15

Earlier quoted context omitted.

Looking at downvotes I feel good about SDE future in 3-5 years. We will have a swamp of "vibe-experts" who won't be able to pay 100K a month to CC. Meanwhile, people who still remember how to code in Vim will (slowly) get back to pre-COVID TC levels.

What is CC and TC? I have not heard these abbreviations (except for CC to mean credit card or carbon copy, neither of which is what I think you mean here).

[deleted]

Re: Ollama is now powered by MLX on Apple Silicon in preview

#30

What is the difference between Ollama, llama.cpp, ggml and gguf?

Ollama is a user-friendly UI for LLM inference. It is powered by llama.cpp (or a fork of it) which is more power-user oriented and requires command-line wrangling. GGML is the math library behind llama.cpp and GGUF is the associated file format used for storing LLM weights.
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