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Hi @jds250, sorry about that! Let's take a look. A few things:
What is your Android version (and build, if you know)?
In your app bundle, make sure libQnnHtpV75Skel.so was copied over correctly.
Double check your genie_config.json. Make sure both tokenizer.json and whatever your htp extension json file is called both exist and are in the same folder. Make sure the htp extension file has the right soc_model and dsp_arch set. If you want, you can post the content of these files here so that we can lend another pair of eyes to confirm.
If all those things check out, we'll have to keep digging. Thank you for your patience.
Hi @jds250, sorry about that! Let's take a look. A few things:
What is your Android version (and build, if you know)?
In your app bundle, make sure libQnnHtpV75Skel.so was copied over correctly.
Double check your genie_config.json. Make sure both tokenizer.json and whatever your htp extension json file is called both exist and are in the same folder. Make sure the htp extension file has the right soc_model and dsp_arch set. If you want, you can post the content of these files here so that we can lend another pair of eyes to confirm.
If all those things check out, we'll have to keep digging. Thank you for your patience.
Hi, my Android NDK version is r26d, and I am sure libQnnHtpV75Skel.so is in my bundle. I am sorry I can't show the details at this moment , because I changed my device and It takes a bit long time to convert the model again.
I found that when I use another device like xiaomi 14 (I used a oneplus 12 before), this error didn't occur (not using ai hub, but executorch which I believe you both utilize the QNN), I think it's probably my device problem , but I didn't figure out the deeper reasons, maybe you can tell us and we can avoid this error when somebody else met.
Hello, I follow the tutorial https://github.com/quic/ai-hub-apps/tree/main/tutorials/llm_on_genie to deploy a Llama-2-7B-chat model on My Oneplus12 (24GB+1TB), and I met the error below:
Since I run the command
I guess I met some environment setup issue, my QNN SDK version is 2.27.0.240926 and ANDROID_NDK version is r26d.
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