<|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 2018-11-19 20:21:48, lanebryant from company lane bryant tweeted. The tweet was "Loving our waist-defining peplum leopard jacket paired with curve-friendly boot-cut jeans on <mention>. <hyperlink>". The most similar tweets were, 
1. On 2018-11-15 18:00:04, lanebryant handle of company lane bryant tweeted. The tweet was "Our Leopard Peplum Jacket and Black Moto Jean make for the perfect edgy-chic look 💋
📸 .<mention> <hyperlink>". This tweet got 2 number of likes. 
2. On 2019-09-22 23:00:00, lanebryant handle of company lane bryant tweeted. The tweet was "Weekend vibes with <mention> in our Skinny Jean with the New FLEX Magic Waistband. 👖 
Shop: <hyperlink> <hyperlink>". This tweet got 4 number of likes. 
3. On 2020-09-03 19:00:02, lanebryant handle of company lane bryant tweeted. The tweet was "These days, we’re dressing for ourselves and loving every look. 
Shop: <hyperlink> <hyperlink>". This tweet got 7 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
6<|im_end|>
