How to identify unsupported operators when deploying a similar-architecture LLM on NeuroPilot (NP7)?

I’m currently using NeuroPilot 7 (NP7) to deploy LLMs on mobile devices. I’d like to deploy Qwen 3.0 0.6B, which shares a similar architecture with Qwen 2.5 0.5B but may not be officially supported. What is the recommended approach to identify unsupported operators in the target model?

Hi R_D,

Thanks for reaching out!

Qwen3 0.6B is supported. You can verify the full list here:

For deployment, use the Qwen3 Toolkit. Full steps:

Best,
Jun

thanks for you reply !
now i’m using np7 ,seemly cant support qwen3 0.6B with this toolkit。
and when i enter LLM Deployment Guide ,the newest version is np7 isn’t not preuime cause?
i want to know specfic NP8 download site and all LLM toolkit list,
i also notice that the newest version is np9 ,how to make a approach?

Hi R_D,

For NeuroPilot 8 related resources, you can find them here:
Genio 360 / 360P / 420 / 520 / 720 (NeuroPilot 8 + MDLA 5.3)

Quick note: please double-check your device and its corresponding NeuroPilot version first. This page should help: AI Supporting Scope

Also, I’d recommend confirming your current version against that scope before deciding whether to upgrade to NeuroPilot 9.

Best,
Jun