# MemoryError when running feature classifer with pre-trained classifier

**URL:** https://forum.qiime2.org/t/memoryerror-when-running-feature-classifer-with-pre-trained-classifier/566
**Category:** User Support
**Created:** [May 5, 2017, 5:53pm UTC](https://forum.qiime2.org/t/memoryerror-when-running-feature-classifer-with-pre-trained-classifier/566 "2017-05-05T17:53:55Z")
**Posts on this page:** 1
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### Author: ![BenKaehler](https://forum.qiime2.org/user_avatar/forum.qiime2.org/benkaehler/32/1693_2.png) [@BenKaehler](https://forum.qiime2.org/u/BenKaehler)
#### Post date: [May 5, 2017, 9:19pm UTC](https://forum.qiime2.org/t/memoryerror-when-running-feature-classifer-with-pre-trained-classifier/566/3 "2017-05-05T21:19:07Z")

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Hi All, the last time I trained a classifier on a silva data set I used up to around 36GB of memory. To some extent silva data sets will always be hungry for memory because they have a massive number of taxonomic classes, but it may be possible to reduce this requirement by reducing the chunk size. I will do some experimentation with that when I get time, probably by Sunday your time.

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