# High Performance for Small Models

Ovis2-1B is the latest member of the Ovis series of multimodal large language models (MLLM), focusing on structural alignment of vision and text embeddings, featuring high performance for small models, enhanced reasoning capabilities, video and multi-image processing, and multilingual OCR enhancement.

Quasar-3.0-Max is a 7B parameter distilled model provided by SILX INC, showcasing the early potential of the Quasar architecture with innovative TTM training process and reinforcement learning techniques.

A small-scale large language model enhanced by reinforcement learning, focused on improving the reasoning capabilities of a 1.5B parameter model

A Q&A model fine-tuned on the SQuAD v1.1 dataset based on the Electra-base-discriminator model, featuring lightweight and high efficiency