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Multi-round Iterative Fine-tuning
# Multi-round Iterative Fine-tuning
Gemma 2 9B It SPPO Iter3
An 8.9 billion parameter language model developed in the third iteration using self-play preference optimization, starting from google/gemma-2-9b-it and fine-tuned with the UltraFeedback dataset
Large Language Model
Transformers
English
G
UCLA-AGI
6,704
125
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