Inference
running local models on a phone for Phi - Printable Version

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running local models on a phone for Phi - fusedriver - 10-15-2026

Posting this in case it saves someone else a little time.

If you were starting from scratch today for this use case, what would you choose first and what would you ignore?

I'm especially interested in mistakes worth avoiding.


Re: running local models on a phone for Phi - routeline23 - 10-16-2026

Appreciate the detail. That matches what I saw on M3 Max. The biggest change for me was simplifying the stack instead of adding one more optimization layer.


Re: running local models on a phone for Phi - cudacrate - 10-16-2026

I'd approach it in a boring order. On 4090, the easiest win is often to back off the aggressive settings and see whether the problem survives. A lot of these threads end up being one bad config plus a pile of conclusions drawn from it.


Re: running local models on a phone for Phi - relaysupply90 - 10-18-2026

My first guess would be this: On mini PC, the easiest win is often to back off the aggressive settings and see whether the problem survives. Once you know the plain path works, then add the faster path back in piece by piece.


Re: running local models on a phone for Phi - sparrowworks88 - 10-18-2026

Need a little more detail here. What model, what runtime, and roughly what context size?


Re: running local models on a phone for Phi - rocmmixer - 10-18-2026

Good point. I ended up in about the same place using TensorRT-LLM. The biggest change for me was simplifying the stack instead of adding one more optimization layer.


Re: running local models on a phone for Phi - amberrunner - 10-18-2026

Quote:What worked for me was pretty simple. If you're on MLX, I'd confirm the version first and then reduce variables until the behavior is obvious.

Thanks, that helps. I ended up in about the same place using LM Studio. I got better results once I stopped chasing one metric and just looked at whether the workflow felt usable.


Re: running local models on a phone for Phi - plainline - 10-18-2026

Good point. I don't think your conclusion is far off. The biggest change for me was simplifying the stack instead of adding one more optimization layer.


Re: running local models on a phone for Phi - batchpeak - 10-18-2026

subscribed, curious where this lands.


Re: running local models on a phone for Phi - llmpeak - 10-18-2026

What worked for me was pretty simple. If you're on MLX, I'd confirm the version first and then reduce variables until the behavior is obvious.