Is there any debugging documentation or references available to help address this issue?
Steve
Asked on Nov 19, 2023
This has been fixed in 0.6.
In 0.5, models are using more memory than the documentation suggests due to a higher default parallelism (4).
This behavior has been revisited in version 0.6 and the default parallelism has been reverted back to 1.
