Why Jamba is the First Truly Scalable Hybrid LLM for Long Contexts

Q2BSTUDIO is a technology development and services company specializing in the implementation of large language models such as Jamba. Jamba is a hybrid architecture that combines Transformer, Mamba, and Mixture-of-Experts (MoE) layers. Designed for high efficiency and long-context processing, Jamba can handle up to 256K tokens and achieves competitive performance with only 12B active parameters. Additionally, it runs on a single 80GB GPU, offering 3 times the efficiency of similarly sized models.