Open-Source

A high-performance cross-encoder reranking model from BAAI designed to improve retrieval accuracy in RAG and search systems.

A multilingual large language model developed by the BigScience initiative, capable of generating text in 46 languages and 13 programming languages.

A widely used multimodal model from OpenAI that learns joint image–text embeddings, enabling zero-shot image classification, search, and multimodal applications.

An open-source reasoning model achieving state-of-the-art performance in math, code, and logic tasks.

A powerful self-supervised vision foundation model from Meta AI, producing high-quality image embeddings for vision tasks without task-specific labels.

A 12-billion-parameter rectified flow transformer capable of generating images from text descriptions.

A 30-billion-parameter open-source language model from MosaicML — a strong, general-purpose LLM balancing scale, performance, and inference efficiency.

A powerful image segmentation foundation model from Meta AI capable of generating high-quality object masks for almost any image with minimal prompts.

A high-quality text-to-image latent diffusion model trained on LAION-2B, enabling fast and flexible image generation.

A flagship text-to-image model with improved realism, composition, and support for high-resolution 1024x1024 image generation.