Comments (10)
Can you cross check the nm command in your system, this might due to some differencs in behavior of nm
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https://www.man7.org/linux/man-pages/man1/nm.1.html
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You can try confirm with which nm
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You can try to run conda install nm
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Hi @lengjing606, we've updated the android flow again. The latest documentation introduces the new flow https://llm.mlc.ai/docs/deploy/android.html. Could you please update the mlc-llm pip package and try again?
To summarize the new flow, first we need to make sure that "device": "android"
exists in mlc-package-config.json
, and then the command
mlc_llm package
does everything, without needing additional arguments.
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@MasterJH5574 it work fine now,thanks
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@MasterJH5574 it work fine now,thanks
I have updated the latest code, but I'm still getting the same error. How did you solve it? Did you install mlc_llm and TVM based on source code, or install pre-built binaries? The mlc_llm I installed is from: mlc_llm_nightly_cu122-0.1.dev1213-cp311-cp311-manylinux_2_28_x86_64.whl and mlc_ai_nightly_cu122-0.15.dev315-cp311-cp311-manylinux_2_28_x86_64.whl.
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@zw0241 Please update your mlc_llm package and mlc_ai package by following https://llm.mlc.ai/docs/install/mlc_llm.html and try again. The latest wheel (as of this moment) is dev1224
for mlc_llm.
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@zw0241 Please update your mlc_llm package and mlc_ai package by following https://llm.mlc.ai/docs/install/mlc_llm.html and try again. The latest wheel (as of this moment) is
dev1224
for mlc_llm.
yes. It's resolved now. Thank you.
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@lengjing606 @zw0241 thank you for getting back. Glad that the new flow works smoothly.
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