A research checkpoint with hybrid layers
Jamba v0.1 combined state-space computation with transformer attention. Its public checkpoint was a pretrained base model, without instruction tuning or moderation mechanisms. The Apache 2.0 weight release enabled local experimentation and adaptation; it did not establish a ready-made, moderated assistant. [2]
Sources
- Introducing Jamba: AI21’s Groundbreaking SSM-Transformer Model
AI21 Labs · Mar 28, 2024
- Jamba v0.1
AI21 Labs · retrieved Oct 23, 2026
- AI21 Labs’ new AI model can handle more context than most
TechCrunch · Mar 28, 2024