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README.md
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## Intended uses & limitations
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## Training and evaluation data
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## Training procedure
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## Intended uses & limitations
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The same limitations as [phi-2](https://huggingface.co/microsoft/phi-2#limitations-of-phi-2), and LLMs in general, apply here. LLMs hallucinate, make mistakes, and should not be trusted. Use at your own risk!
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## Training and evaluation data
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Fietje 2B instruct was finetuned from [the base model](https://huggingface.co/BramVanroy/fietje-2b) on the following datasets. Number of training samples per dataset given in brackets, totalling 201,579.
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- [BramVanroy/ultrachat_200k_dutch](https://huggingface.co/datasets/BramVanroy/ultrachat_200k_dutch): gpt-4-1106-preview; multi-turn; fully generated (192,598)
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- [BramVanroy/no_robots_dutch](https://huggingface.co/datasets/BramVanroy/no_robots_dutch): gpt-4-1106-preview; prompt translate, answer generated; some items have system messages (8181)
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- [BramVanroy/belebele_dutch](https://huggingface.co/datasets/BramVanroy/belebele_dutch): Dutch portion of [belebele](https://huggingface.co/datasets/facebook/belebele), formatted into SFT format (800)
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## Training procedure
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