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license: apache-2.0
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# About the model
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Predibase-T2T-32B-RFT is a 32-billion parameter transformer model fine-tuned with Reinforcement Fine-Tuning (RFT) on the Predibase platform.
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Unlike traditional supervised fine-tuning approaches, Predibase-T2T-32B-RFT leverages RFT to adapt model behavior interactively, optimizing for downstream task quality with minimal labeled data. This makes it a highly cost-efficient and performant alternative to proprietary LLMs.
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license: apache-2.0
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# About the model
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Predibase-T2T-32B-RFT is a 32-billion parameter transformer model fine-tuned with Reinforcement Fine-Tuning (RFT) on the Predibase platform.
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Unlike traditional supervised fine-tuning approaches, Predibase-T2T-32B-RFT leverages RFT to adapt model behavior interactively, optimizing for downstream task quality with minimal labeled data. This makes it a highly cost-efficient and performant alternative to proprietary LLMs.
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