Pankaj Dugar

Today we launched Jamba 1.6, the best open model for private enterprise deployment. AI21’s Jamba outperforms Cohere, Mistral and Llama on key benchmarks, including Arena Hard, and rivals leading closed models while maintaining unmatched speed and quality.  Now available on AI21’s Studio and @Hugging Face.  Learn more: ai21.com/jamba/

🔍 AI decisions shouldn’t be a black box. 👀 Gain full transparency and control over every step of your system. #AIVisibility

Excited to share that our paper, Jamba: Hybrid Transformer-Mamba Language Models, has been accepted to ICLR 2025! We’re honored to contribute to this important platform and the collective knowledge of the AI community by sharing our work openly and submitting it for peer review. This paper presents our Jamba family of open models built with a novel hybrid Transformer-Mamba architecture that combines the strengths of both approaches by delivering both efficiency and accuracy.  AI21’s Jamba has the #1 longest effective context window on the market per NVIDIA’s Ruler benchmark, making it the ideal choice for agentic workflows where long-context processing is mission critical. Congrats to the co-authors and collaborators who contributed to this work - this paper represents a true team effort, and we’re proud to share it with the AI community.

Introducing Jamba, our groundbreaking SSM-Transformer open model! As the first production-grade model based on Mamba architecture, Jamba achieves an unprecedented 3X throughput and fits 140K context on a single GPU. 🥂Meet Jamba ai21.com/jamba 🔨Build on @huggingface