<|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 2020-10-15 00:25:56, UCLAMBB from company ucla tweeted. The tweet was "Post-practice this afternoon, at Vip's Cafe in Tarzana.

#GoBruins <hyperlink>". The most similar tweets were, 
1. On 2020-03-19 04:25:27, METROFMSA handle of company sabc tweeted. The tweet was "Our gym jam instructor for the week <mention> #TheMorningFlava <hyperlink>". This tweet got 100 number of likes. 
2. On 2019-10-22 23:36:48, UCLAHealth handle of company ucla health tweeted. The tweet was "We can’t wait for tonight’s tip-off of another exciting season with our partners, the <mention>! #TeamUCLALakers <hyperlink>". This tweet got 76 number of likes. 
3. On 2019-10-28 04:47:57, METROFMSA handle of company sabc tweeted. The tweet was "Our #GymJam Instructor for the week 
<mention> ✨
#TheMorningFlava with <mention> <mention> <mention> <hyperlink>". This tweet got 104 number of 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
