Introducing AI21 Jamba 1.5 Large: The Future of Large Language Models

The AI21 Jamba 1.5 Large model is a state-of-the-art, hybrid SSM-Transformer large language model (LLM) developed by AI21 Labs. This model brings together the best of Transformer and Mamba (Structured State Space) architectures, allowing it to efficiently manage long context windows.

Unparalleled Architecture

Jamba 1.5 Large boasts an impressive 94 billion active parameters and 398 billion total parameters. It features a context window of 256,000 tokens, the largest available under an open license, fully utilizing this extensive context window.

Performance and Benchmarks

With superior performance, speed, and efficiency, Jamba 1.5 Large outshines other models like Llama 3.1 70B and Mistral Large 2 in terms of latency, being up to twice as fast in long context windows. The model excels in various benchmarks such as Arena Hard, Wild Bench, MMLU, GPQA, and ARC Challenge, demonstrating high-quality responses and efficiency.

Advanced Features

The model supports advanced features like function calling, structured output (JSON), grounded generation, and tool use, making it ideal for creating agentic AI systems. It supports multiple languages including English, Spanish, French, Portuguese, Italian, Dutch, German, Arabic, and Hebrew.

Deployment and Partnerships

Jamba 1.5 Large is available on platforms like Hugging Face, Langchain, LlamIndex, Together.AI, and Azure AI, facilitating seamless deployment and integration. AI21 Labs has partnered with major cloud providers such as Amazon Web Services (AWS), Google Cloud, Microsoft Azure, Snowflake, Databricks, and NVIDIA to ensure enterprise-ready deployment.

Key Highlights

• Efficiency and Speed: Designed for high efficiency and speed, even with large context windows, making it ideal for complex reasoning tasks and data-heavy applications.
• Innovation: The hybrid architecture overcomes the limitations of traditional Transformer models, enabling better handling of long context windows without significant increases in computational load.
• Use Cases: Optimized for various use cases such as document summarization, text generation, and information extraction, thanks to its long context window and advanced features.

Overall, the AI21 Jamba 1.5 Large model represents a significant advancement in LLM technology, offering unparalleled performance, efficiency, and context handling capabilities. Whether for research or commercial use, this model sets a new standard in the industry.