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