(1) Install microsoft SQL Server Express, which can be downloaded for free here:
https://www.microsoft.com/en-us/download/details.aspx?id=29062

(2) The installer will step you through the process of creating 
a local instance of SQL Server on your local computer.

(3) Open the "Create Tables and Indexes.sql" script in SQL Server Express, 
connecting to the instance

Run the script by pressing the Red "! Execute" button on your toolbar.

(4) Open the "Reset Data.sql" script.

Press the red "! Execute" button again when this script is open. 

(5) Open the "model.sql" script.

This script generates starter data by allowing 
the genetic load to reach an equilibrium state in the natural environment.

Press the red "! Execute" button again to run this script.

NOTE: This script simulates a population of 13,000 or so over 60,000 years,
so it will take a couple days to finish running.
If you don't run this script first, the possible genetic mutations will not be in equilibrium.

(6) (a few days later) You now have starter data generated on your computer.

It's recommended that you backup your database now, unless you want to run that script again. 

Instructions for how to backup a sql server database can be found here:
https://docs.microsoft.com/en-us/sql/relational-databases/backup-restore/create-a-full-database-backup-sql-server?view=sql-server-2017#

Instructions for how to restore a sql server database from backup can be found here:
https://docs.microsoft.com/en-us/sql/relational-databases/backup-restore/restore-a-database-backup-using-ssms?view=sql-server-2017#examples

(7) you can now run different settings of the model, included in the zip file! 

Or read the script and alter the settings as you see fit! 
All the scripts are identical except for the values for the model settings (at the top).
It is recommended not to alter the other parts of the model unless you are experienced in SQL.

Explanation of each of the settings is found in the code comments 
of the model.sql script and other scripts. 

Read the code comments of the model.sql script and other scripts 
for a detailed explanation of how the model works and what everything does.