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@ -14,9 +14,11 @@ Here's an example of how the model generates a punchline with reasoning:
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Question: What do you call a herd of cows masturbating?
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<think>
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Okay, the user is asking, "What do you call a herd of cows masturbating?" Hmm, that's a play on words. Let me think. The key here is the word "masturbating" and the animal "cows." The answer needs to be a pun or a play on words.
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Okay, the user is asking, "What do you call a herd of cows masturbating?" Hmm, that's a play on words. Let me think.
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The key here is the word "masturbating" and the animal "cows." The answer needs to be a pun or a play on words.
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First, I need to connect "herd" with "masturbating." A herd of cows is a group, so maybe something related to a group. "Masturbating" is a term that's not typically used for animals, but maybe there's a word that combines the two.........
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First, I need to connect "herd" with "masturbating." A herd of cows is a group, so maybe something related to a group.
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"Masturbating" is a term that's not typically used for animals, but maybe there's a word that combines the two.........
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</think>
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Beef strokin off!
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@ -75,4 +77,4 @@ You will need to have vLLM serving the model on port 9001 for this to work.
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#### Output
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Zip placeholder
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[jokes.zip](https://github.com/user-attachments/files/20275132/jokes.zip)
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