Comment by erikig

Comment by erikig 3 days ago

Hardware: MacBook Pro M4 Max, 128GB

Platform: LMStudio (primarily) & Ollama

Models:

- qwen/qwen3-coder-30b A3B Instruct 8-bit MLX

- mlx-community/gpt-oss-120b-MXFP4-Q8

For code generation especially for larger projects, these models aren't as good as the cutting edge foundation models. For summarizing local git repos/libraries, generating documentation and simple offline command-line tool-use they do a good job.

I find these communities quite vibrant and helpful too:

- https://www.reddit.com/r/LocalLLM/

- https://www.reddit.com/r/LocalLLaMA/

mkagenius 3 days ago

Since you are on Mac, if you need some kind code execution sandbox, check out Coderunner[1] which is based on Apple container, provides a way execute any LLM generated cod e without risking arbitrary code execution on your machine.

I have recently added claude skills to it. So, all the claude skills can be executed locally on your mac too.

1. https://github.com/instavm/coderunner

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shell0x 3 days ago

I have a Mac Studio with the M4 Max and 128GB RAM

The Qwen3-coder model you use is pretty good. You can enable the LM Studio API and install the qwen CLI and point to the API endpoint. This basically gives you functionality similar to Claude code.

I agree that the code quality is not on part with gpt5-codex and Claude. I also haven't tried z.ai's models locally yet. I think on a Mac with that size GLM 4.5 Air should be able to run.

For README generation I like gemma3-27b-it-qat and gpt-oss-120b.

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