<|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 2018-04-19 11:45:09, wwf_uk from company wwf tweeted. The tweet was "Running outside to enjoy the #WarmestDayOfTheYear 🌞☀️ <hyperlink>". The most similar tweets were, 
1. On 2018-06-26 09:52:35, wwf_uk handle of company wwf tweeted. The tweet was "#HeatwaveUK making us feel like... <hyperlink>". This tweet got 330 number of likes. 
2. On 2018-04-03 11:20:11, wwf_uk handle of company wwf tweeted. The tweet was "Who's feeling like this after the long Easter weekend? #backtowork 😴🦁 <hyperlink>". This tweet got 166 number of likes. 
3. On 2020-12-03 01:47:00, HomeFreeGuys handle of company free tweeted. The tweet was "HERE WE GO!!

Be one of the first to watch the Warmest Winter Holiday Special with us!

<hyperlink> <hyperlink>". This tweet got 107 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
162<|im_end|>
