

ALMA 13B R
Overview :
The ALMA-R model has been further fine-tuned using Contrastive Preference Optimization (CPO), surpassing GPT-4 and WMT award winners. Users can download the ALMA(-R) model and datasets from the GitHub repository. ALMA-R builds upon the ALMA model and employs our proposed Contrastive Preference Optimization (CPO) for fine-tuning, instead of the Supervised Fine-tuning used in ALMA. CPO fine-tuning requires our triplet preference data for preference learning. ALMA-R can now match or even surpass the performance of GPT-4 or WMT award winners!
Target Users :
Users can utilize the ALMA-R model for machine translation, download the associated datasets for training and fine-tuning, or deploy the model for practical applications.
Use Cases
Use the ALMA-R model for Chinese to English machine translation
Download the ALMA-R model for customized fine-tuning
Deploy the ALMA-R model for real-time translation services
Features
Download ALMA(-R) model
Download datasets
Machine translation
Model fine-tuning
Model deployment
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