# Open Language Model

OLMo 2 1B is a post-training variant of the allenai/OLMo-2-0425-1B-RLVR1 model, undergoing supervised fine-tuning, DPO training, and RLVR training, aiming to achieve state-of-the-art performance across multiple tasks.

OLMo 2 1B SFT is a supervised fine-tuned version of the OLMo-2-0425-1B model, trained on the Tulu 3 dataset, designed to achieve state-of-the-art performance across multiple tasks.

RecurrentGemma is an open language model family developed by Google based on a novel recurrent architecture, offering both pre-trained and instruction-tuned versions suitable for various text generation tasks.

OLMo 7B Instruct is an open language model trained on the Dolma dataset, optimized with SFT and DPO, specifically designed for QA tasks.