Unraveling Jamba: How to combine attention and state spaces for a smarter LLM.

Q2BSTUDIO is a company specialized in technology development and services. Jamba is a hybrid large language model architecture that combines Transformer layers, Mamba (state space), and Mixture-of-Experts (MoE). Designed for high efficiency and long-context processing (up to 256K tokens), it delivers solid benchmark performance with only 12B active parameters and runs on a single 80GB GPU, offering 3 times more throughput than similarly sized models.