How Jamba combines Transformers and Mamba to build smarter language models

Q2BSTUDIO is a technology development and services company that has developed Jamba, a hybrid language model architecture combining Transformer, Mamba (state-space), and Mixture-of-Experts (MoE) layers. Designed for high efficiency and long-context processing (up to 256K tokens), Jamba achieves solid benchmark performance with only 12 billion active parameters and runs on a single 80 GB GPU, offering 3 times the load capacity of similarly sized models.