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or you can just load up ollama, have it load a local model and point claude or opencode at it... is this article old? It's not. I'm not sure why he went through all the bother of llama.cpp
That was exactly my same question. Then I finished reading the post. The reason is pretty clear, and written in the post: it is faster than ollama+mlx.
I wrote a similar post some time ago just used ollama and opencode https://blog.kulman.sk/running-local-llm-coding-server/
Earlier quoted context omitted.
Yeah, if the future is "Claude, think for me" I'm happy to stay at the good old present.
https://en.wikipedia.org/wiki/Is_Google_Making_Us_Stupid%3F https://newsletter.pessimistsarchive.org/p/when-educators-mo... New decade, same old argument. It's not > "Claude, think for me" It's > "Claude, be my subordinate and get this done for me" Instead of complaining on the sidelines, I'm getting a shit ton of work done.
Yeah, good ol' present for me too then, thanks.
I have used omlx.ai with great success to both download multiple mlx models (including gemma and qwen) suited for my hardware AND to be able to automagically launch both open-source and close-source (claude code, codex) harnesses using these models. All from a web or desktop UI You would not need to follow a blog post with omlx IMHO
It truly is the SOTA for local inference on mac. Even when there are regressions the dev(s) are insanely responsive. It is the most impressive opensource project I've seen in a awhile
Does anybody run a local agent on a Mac using an outboard GPU?
I have used omlx.ai with great success to both download multiple mlx models (including gemma and qwen) suited for my hardware AND to be able to automagically launch both open-source and close-source (claude code, codex) harnesses using these models. All from a web or desktop UI You would not need to follow a blog post with omlx IMHO
8b max on a std 16gb macbook. Anything more and your mac is toast
Earlier quoted context omitted.
Yeah, if the future is "Claude, think for me" I'm happy to stay at the good old present.
https://en.wikipedia.org/wiki/Is_Google_Making_Us_Stupid%3F https://newsletter.pessimistsarchive.org/p/when-educators-mo... New decade, same old argument. It's not > "Claude, think for me" It's > "Claude, be my subordinate and get this done for me" Instead of complaining on the sidelines, I'm getting a shit ton of work done.
It’s weird when people are proud of doing ton of work. Im the opposite, Im proud that Im doing minimal stuff without llms.
>64 GB Thats the rub. I have an M4 with 48G. I wonder if it is worth testing this out. My past attempts (with Ollama and various LLMs) were too slow to use.