[7.x][ML] Prevent node potentially going out of memory due to loading quantiles #70381
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Large jobs with lots of partitions can get very big, retrieving snapshots
for such a job can cause a node to go out of memory.
With this change do not fetch quantiles when querying for (multiple)
modelSnapshots to avoid memory overhead. Quantiles aren't needed for
the API's using JobResultsProvider.modelSnapshots(...)
fixes #70372
backport #70376