<|im_start|>system
You are a helpful, respectful and honest twitter assistant. Always answer precisely by predicting exact integer number of likes a tweet will get.<|im_end|>
<|im_start|>user
On 2020-12-01 17:45:29, TheUPSStore from company ups tweeted. The tweet was "We’ll pack and ship all your holiday cheer to loved ones near and far. Get every ing for the holidays, all in one place: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-12-17 17:35:07, amazon handle of company amazon tweeted. The tweet was "Spreading some holiday cheer with <mention>! We loved #DeliveringSmiles with them and <mention> to some special kids at <mention>. <hyperlink>". This tweet got 256 number of likes. 
2. On 2020-11-26 14:00:50, UPSAirlines handle of company ups tweeted. The tweet was "Happy #Thanksgiving from <mention>! 🦃 <hyperlink>". This tweet got 66 number of likes. 
3. On 2020-12-18 17:18:01, AAAOklahoma handle of company aaa tweeted. The tweet was "Just in time for holiday shopping! Members AND non-members can now visit our travel store for great deals on gifts for the whole family! #HolidayShopping #TravelStore #SeasonOfSmiles<hyperlink> <hyperlink>". This tweet got 0 number of likr likes. 
As someone well-versed in Twitter trends and engagement, the exact positive integer number of likes this tweet will receive are<|im_end|>
<|im_start|>assistant
274<|im_end|>
