AI21 Labs Released Jamba 1.5 Family of Open Models: Jamba 1.5 Mini and Jamba 1.5 Large
Redefining Long-Context AI with Unmatched Speed, Quality, and Multilingual Capabilities for Global Enterprises
AI21 Labs has introduced the Jamba 1.5 family of open models, including Jamba 1.5 Mini and Jamba 1.5 Large, built on the innovative SSM-Transformer architecture. These models represent a significant advancement in AI technology, particularly in handling long-context tasks. They are released under the Jamba Open Model License, promoting widespread experimentation and innovation.
Key Features of the Jamba 1.5 Models
The Jamba 1.5 models excel in handling exceptionally long contexts, with an effective context window of 256K tokens, the longest in the market for open models. They also offer superior speed on long contexts, up to 2.5 times faster than competitors, and maintain high performance across all context lengths within their size class. Additionally, the models achieve high-quality performance across different benchmarks, highlighting their robustness in delivering reliable and accurate results.
Multilingual Support and Developer Readiness
These models are designed with multilingual support, catering to various languages, making them versatile tools for global enterprises. For developers, the models offer native support for structured JSON output, function calling, document object digestion, and citation generation, enabling seamless integration into existing workflows.
Deployment and Efficiency
The Jamba 1.5 models are accessible and deployable across multiple platforms, supported by major cloud providers and expected to be available on additional platforms soon. They also offer resource efficiency, with a lower memory footprint and a novel quantization technique, ExpertsInt8, which optimizes model performance without compromising quality.
Conclusion
The Jamba 1.5 family of open models by AI21 Labs sets new benchmarks in speed, quality, and efficiency, democratizing access to cutting-edge AI technology. Their availability across multiple platforms and support for multilingual environments make them a versatile choice for developers and businesses, capable of meeting the demands of complex, large-scale applications.
