Update README.md

README.md

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 Selamat datang!
 
-If you're like me, you love models that are:
+I'm super stoked to announce... the 🦌 Kancil! It's a fine-tuned version of Llama 3 8B with the TumpengQA, an instruction dataset of 28 million words. Both the model and dataset is openly available in Huggingface. 
 
-🤏 Small, but capable!
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-🔓 Open, free-to-use
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-🇮🇩 Fluent in Indonesian
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-That's why I'm proud to announce... the 🦌 Kancil! It's a fine-tuned version of Llama 3 8B with the TumpengQA, an instruction dataset of 28 million words. Both the model and dataset is openly available in Huggingface. 
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-What makes this model so cool? 🤨
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-📚 The dataset is synthetically generated from Llama 3 70B. A big problem with existing Indonesian instruction dataset is they're really badly translated versions of English datasets. Llama 3 70B can generate fluent Indonesian! (with minor caveats 😔)
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-🔨 Llama 3 8B can already respond in Indonesian... but it's highly inconsistent 😭 and needs lots of tedious prompt engineering. This model is highly consistent in responding in Indonesian!
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-How did I go about it?
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-✈  Scaling up synthetic data generation! Companies like Microsoft and Meta realized it is absolutely essential for developing LMs. From this and previous experience in creating Jawa Krama dataset, this is surprisingly useful for low-medium resource languages.
+📚 The dataset was synthetically generated from Llama 3 70B. A big problem with existing Indonesian instruction dataset is they're really badly translated versions of English datasets. Llama 3 70B can generate fluent Indonesian! (with minor caveats 😔)
 
 🦚 This was highly inspired by last year's efforts from Merak-7B, a collection of open, fine-tuned Indonesian models. However, Kancil leveraged synthetic data in a very creative way, which makes it unique from Merak!