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README.md
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@@ -4,15 +4,18 @@ base_model: utter-project/EuroLLM-1.7B-Instruct
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tags:
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- xcomet_xl_xxl
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- generated_from_trainer
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model-index:
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- name:
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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#
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This model is a fine-tuned version of [utter-project/EuroLLM-1.7B-Instruct](https://huggingface.co/utter-project/EuroLLM-1.7B-Instruct) on the Unbabel/TowerAligned-v0.1 dataset.
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@@ -56,4 +59,4 @@ The following hyperparameters were used during training:
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- Transformers 4.43.3
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- Pytorch 2.3.1+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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tags:
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- xcomet_xl_xxl
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- generated_from_trainer
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- machine-translation
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model-index:
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- name: EuroLLM-1.7B-Instruct-MT-DPO
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results: []
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datasets:
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- sardinelab/MT-pref
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# EuroLLM-1.7B-Instruct-MT-DPO
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This model is a fine-tuned version of [utter-project/EuroLLM-1.7B-Instruct](https://huggingface.co/utter-project/EuroLLM-1.7B-Instruct) on the Unbabel/TowerAligned-v0.1 dataset.
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- Transformers 4.43.3
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- Pytorch 2.3.1+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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