// ∿ New Architectures: SSM & Linear Attention
Hybrid Architectures (Jamba)
Interleaves attention and Mamba layers (plus MoE) in one model.
混合架构(Transformer+SSM) 2024 Advanced core
IN PLAIN WORDS
A few attention layers handle precise recall while many Mamba layers process long sequences cheaply. Jamba was the first production-grade hybrid; hybrids are now a major trend.
Used in: AI21 Jamba models
TIMELINE · prerequisites → this → what builds on it
01Original paper
Jamba: A Hybrid Transformer-Mamba Language Model
Opher Lieber, Barak Lenz, Hofit Bata, et al. · 2024
arXiv ↗ ✓ Verified · arXiv API
02Where it sits
Learn the left column first; the right column builds on this one.
Then you can learn
- Nothing in the atlas builds on it yet
Related:Gated Delta Networks
Left: prerequisites · right: builds on this · dashed: related. Full map →
03Learning resources
Official docs, explainers, courses and reference code. All links checked.
Official docs
04Where the course teaches it
On learning paths:Generative Models & Frontier Research
For AI / data
- Verification: verified, checked 2026-10-21.
- JSON: /api/learn/algorithms.json (id:
jamba)