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README.md
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@@ -13,9 +13,10 @@ A Danish finetune of Zephyr-7b-alpha 😀 The idea with this model (apart from p
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Try it here [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/RJuro/courses/blob/main/notebooks/Kanelsnegl_v0_2_usecases.ipynb)
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<img src="https://huggingface.co/RJuro/kanelsnegl-v0.
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## Model Description
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Base model: [Zephyr-7b-alpha](https://huggingface.co/HuggingFaceH4/zephyr-7b-alpha) finetuned on [DDSC/partial-danish-gigaword-no-twitter](https://huggingface.co/datasets/DDSC/partial-danish-gigaword-no-twitter). The training involved a maximum length of 512. QLora completion finetuning of all linear layers was also implemented. This model is mostly fun tinkering for personal learning purpose.
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This version got 4 times more fine-tuning than v0.1 [RJuro/kanelsnegl-v0.1](https://huggingface.co/RJuro/kanelsnegl-v0.1). It produces better Danish and follows complex prompts and instructions.
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Try it here [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/RJuro/courses/blob/main/notebooks/Kanelsnegl_v0_2_usecases.ipynb)
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<img src="https://huggingface.co/RJuro/kanelsnegl-v0.2/resolve/main/banner_ks_s.jpg" alt="Kanelsnegl Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
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## Model Description
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Base model: [Zephyr-7b-alpha](https://huggingface.co/HuggingFaceH4/zephyr-7b-alpha) finetuned on [DDSC/partial-danish-gigaword-no-twitter](https://huggingface.co/datasets/DDSC/partial-danish-gigaword-no-twitter). The training involved a maximum length of 512. QLora completion finetuning of all linear layers was also implemented. This model is mostly fun tinkering for personal learning purpose.
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This version got 4 times more fine-tuning than v0.1 [RJuro/kanelsnegl-v0.1](https://huggingface.co/RJuro/kanelsnegl-v0.1). It produces better Danish and follows complex prompts and instructions.
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