Comments (5)
Error numbers are line numbers inside blob_store.cc.
154 is lseek failing, 232 is file size not matching the expected size.
It seems something is going wrong with the device's IO. Is it Android r15c or later?
Did you download v3 of the weights? Their size has just changed.
from gemma.cpp.
Error numbers are line numbers inside blob_store.cc. 154 is lseek failing, 232 is file size not matching the expected size. It seems something is going wrong with the device's IO. Is it Android r15c or later? Did you download v3 of the weights? Their size has just changed.
yes, I download archive.tar.gz from kaggle with 2b-it-sfp, tar -zxvf archive.tar.gz, i got 2b-it-sfp.sbs and tokenizer.spm. it is version 3. Maybe the file is broken, i will try again later.
How can i know the version is Android r15c or later?
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With the recent MQA change there was a window when artifact wasn’t in sync (using the kaggle client api code worked but the artifact download didn’t).
https://discord.com/channels/1212851822813904947/1212851825334550548/1225712866934521887
might try downloading again or checking if the kaggle client api works and see if it’s still an issue.
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Agree the download might be broken/partial, this would explain lseek failures.
How can i know the version is Android r15c or later?
We can look at "About phone" in settings, that has an "Android version" which we can map to targetSdk(API level) using https://apilevels.com/.
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Any update on whether you are still seeing the issue?
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Related Issues (20)
- Using mingw64 build on windows 10 fails HOT 3
- Weights converted from PyTorch don't seem to work properly HOT 2
- Seeking feedbacks for python wrapper of gemma.cpp HOT 3
- Is the format of output Markdown? HOT 2
- Failed on raspberry pi OS (64bit) HOT 6
- TODO (**Optimize, potentially using new VQSort PartialSort**) HOT 1
- Implement arch changes
- Have there been any performance comparisons between gemma.cpp and llama.cpp? HOT 3
- Mismatch between expected 1024000 and actual 1024512 KiB size. HOT 2
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- How can I get the compiled static executable binary file in linux platform? HOT 2
- Near-term roadmap HOT 3
- Use a MatMul implementation over MatVec for Prefill Computations HOT 2
- Paligemma Support HOT 1
- Compiling under mingw with clang error.. HOT 5
- gemma.cc:1322: Failed to load model weight HOT 6
- Compilation fails for raspberry pi HOT 2
- gemma.exe does not respond no matter how long you wait. HOT 3
- Crash in Attention() with huge input HOT 13
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