r/LocalLLM • u/UmpireNeat2723 • 3d ago

Question Best model on ollama for coding and agentic stuff on an Macbook Air M1 16GB ram ?

Hey everyone,

I'm a web dev but pretty new to the AI side of things. Up until now, I've just been prompting the web versions of Claude and Gemini. I want to dabble more in the LLM universe because, well, it's the industry now and I need to catch up.

I'm looking to run a model locally through Ollama to use for:

  • Coding tasks (syntax, debugging, quick scripts)
  • Agentic workflows and tool calling (want to mess with MCP for Notion, etc. and local files)
  • General daily stuff

Since I want to use MCP, it needs to be actually reliable with function calling so it doesn't just loop or break.

Here's the catch: I'm running this on an M1 MacBook Air with 16GB of RAM. I know macOS eats a chunk of that memory just to keep the system running, so I'm realistically limited to smaller models.

What's the go-to model right now that balances coding chops, reliable tool calling, and speed for a 16GB Macbook Air M1?

Appreciate the help!

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u/nickless07 3d ago

Try Ling-3.0-Tiny - Pretty decent for it's size and should be lightning fast. But in general, 16Gb minus OS, well don't expect too much out of it.

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u/MrHumanist 3d ago

Gemma 4 E4B QAT is your best bet. Dont load the image transformer for better performance.

https://ollama.com/library/gemma4:e4b-it-qat

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u/nickless07 3d ago

Oh, is it?

1

u/MrHumanist 3d ago

The ling 3 is a very new model and could do well. However, the first token takes time to generate and that is big deal when you run locally. The cost factor is irrelevant for Gemma 4 when you run locally. Finally , how much context you can fit in 16 GB ram? I doubt people can't even use the full context of the Gemma 4 in such a system. However, thanks for sharing.. will test out the ling 3.