AI21 Labs releases Jamba, a hybrid language model

AI21 Labs released Jamba v0.1 weights under Apache 2.0. The base model combined Mamba state-space layers, transformer attention and mixture-of-experts components, with a 256,000-token context window.

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

  1. Introducing Jamba: AI21’s Groundbreaking SSM-Transformer Model

    AI21 Labs · Mar 28, 2024

  2. Jamba v0.1

    AI21 Labs · retrieved Oct 23, 2026

  3. AI21 Labs’ new AI model can handle more context than most

    TechCrunch · Mar 28, 2024