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traversaal-2.5-Mistral-7B is trained via Direct Preference Optimization(DPO) from teknium/OpenHermes-2.5-Mistral-7B as its base model, with several optimizations in hyperparameters. teknium/OpenHermes-2.5-Mistral-7B is trained via Supervised Fine-Tuning (SFT) using LoRA, with the QWEN-72B model as its base-model. Note that we did not exploit any form of weight merge. For leaderboard submission, the trained weight is realigned for compatibility with Mistral-7b

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Dataset used to train traversaal-ai/traversaal-2.5-Mistral-7B