Published on September 20, 2026, the item describes Jamba, a base language model with a hybrid Transformer-Mamba architecture and mixture-of-experts.
Published on September 20, 2026, the item presents Jamba as a base language model that interleaves Transformer and Mamba blocks. Some layers use mixture-of-experts (MoE), described as a way to increase capacity and manage active parameter use.
The paper covers the hybrid architecture and configurations that balance model capacity against resource use. To assess these claims, consult the original paper and check its descriptions of the layers and stated trade-offs; the available summary does not give quantitative results.