# DPO optimization

Turkish-Gemma-9b-v0.1 is a Turkish text generation model developed based on Gemma-2-9b, optimized through continued pretraining, supervised fine-tuning (SFT), direct preference optimization (DPO), and model merging techniques.

Language model fine-tuned using DPO method, suitable for text generation tasks

The quantized version of UI-TARS-7B-DPO is committed to making knowledge accessible to the public.

SummLlama3-70B is a text summarization model initialized from Llama3-70B-Instruct, optimized through large-scale summarization feedback via DPO training, excelling in fidelity, completeness, and conciseness.

Rhea-72b-v0.5 is a large language model fine-tuned based on Smaug-72B-v0.1, ranking first on the HuggingFace Open LLM Leaderboard.

Nous Hermes 2 is a next-generation flagship 7B Hermes model based on Mistral 7B DPO, optimized with DPO and demonstrating excellent performance across multiple benchmarks.