%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%23061b40;%20}%20.st1%20{%20fill:%20%23306af1;%20}%20.st2%20{%20fill:%20%235ce5cf;%20}%20%3c/style%3e%3c/defs%3e%3cg%3e%3cpath%20class='st0'%20d='M55,10.5h9v3h-9v9h12V7.5h-12v3ZM64,19.5h-6v-3h6v3Z'/%3e%3cpolygon%20class='st0'%20points='69%2016.5%2078%2016.5%2078%2019.5%2069%2019.5%2069%2022.5%2081%2022.5%2081%2013.5%2072%2013.5%2072%2010.5%2081%2010.5%2081%207.5%2069%207.5%2069%2016.5'/%3e%3cpolygon%20class='st0'%20points='95%2010.5%2095%207.5%2083%207.5%2083%2022.5%2095%2022.5%2095%2019.5%2086%2019.5%2086%2016.5%2095%2016.5%2095%2013.5%2086%2013.5%2086%2010.5%2095%2010.5'/%3e%3cpath%20class='st0'%20d='M40,1.5v21h11.6l1.4-1.4v-7.6h0c0,0-1.4-1.5-1.4-1.5l1.4-1.4V2.9l-1.4-1.4h-11.6ZM50,19.5h-7v-6h7v6ZM50,10.5h-7v-6h7v6Z'/%3e%3c/g%3e%3cpath%20class='st1'%20d='M23.1,24L14.7,4.8l-4.9,11.2h3.8l-1.8,4H3.3L12.1,0H2C.9,0,0,.9,0,2v20c0,1.1.9,2,2,2h21.1Z'/%3e%3cpath%20class='st2'%20d='M34,0h-16.8l10.6,24h6.2c1.1,0,2-.9,2-2V2C36,.9,35.1,0,34,0ZM32.5,20h-4V4h4v16Z'/%3e%3c/svg%3e)
Jamba 1.6
Overview :
Jamba 1.6 is AI21's latest language model, designed for private enterprise deployment. It excels in long-text processing, handling context windows up to 256K. Employing a hybrid SSM-Transformer architecture, it efficiently and accurately processes long-text question-answering tasks. This model surpasses similar models from Mistral, Meta, and Cohere in quality, while supporting flexible deployment options, including private deployment on-premise or in a VPC, ensuring data security. It offers enterprises a solution that doesn't compromise between data security and model quality, suitable for scenarios requiring extensive data and long-text processing, such as R&D, legal, and finance. Jamba 1.6 is currently used in several enterprises, such as Fnac for data classification and Educa Edtech for building personalized chatbots.
Target Users :
Jamba 1.6 is ideal for enterprises needing to process large volumes of long-form text data, such as R&D teams, legal teams, and financial analysts. It helps enterprises efficiently analyze and process complex textual information while ensuring data security and privacy. For businesses looking to leverage high-quality language models to boost efficiency without compromising sensitive data, Jamba 1.6 is an ideal choice.
Use Cases
Fnac uses Jamba 1.6 Mini for data classification, resulting in a 26% improvement in output quality and a 40% reduction in latency.
Educa Edtech utilizes Jamba 1.6 to build personalized chatbots, achieving over 90% accuracy in question answering.
A digital bank used Jamba 1.6 Mini, with internal testing showing 21% higher accuracy than previous products, comparable to OpenAI's GPT-4o.
Features
Provides superior long-text processing capabilities, supporting context windows up to 256K.
Employs a hybrid SSM-Transformer architecture ensuring efficient and accurate long-text question answering.
Supports flexible deployment methods, including on-premise and VPC deployment, guaranteeing data security.
Surpasses similar models from Mistral, Meta, and Cohere in quality, rivaling closed models.
Features low latency and high throughput, suitable for handling large-scale enterprise workflows.
Provides a Batch API for efficient processing of large requests, accelerating data processing.
Supports various enterprise application scenarios, such as data classification and personalized chatbots.
Model weights can be downloaded directly from Hugging Face, facilitating developer use and integration.
How to Use
Access the AI21 Studio or Hugging Face website to download the Jamba 1.6 model weights.
%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%230080ff;%20}%20%3c/style%3e%3c/defs%3e%3cpath%20class='st0'%20d='M16.2,11.1c.4.5.4,1.2,0,1.8l-4.7,7.1h-3.8l5.3-8L7.6,4h3.8l4.7,7.1Z'/%3e%3c/svg%3e)
Choose a suitable deployment method based on your enterprise needs, such as on-premise or VPC deployment.
Integrate the model into your enterprise applications or workflows to utilize its long-text processing capabilities.
Use the Batch API to process large requests and optimize data processing efficiency.
Adjust model parameters based on specific application scenarios to achieve optimal performance.
Monitor the model's operation to ensure its stability and data security.
Featured AI Tools
Gemini
Gemini is the latest generation of AI system developed by Google DeepMind. It excels in multimodal reasoning, enabling seamless interaction between text, images, videos, audio, and code. Gemini surpasses previous models in language understanding, reasoning, mathematics, programming, and other fields, becoming one of the most powerful AI systems to date. It comes in three different scales to meet various needs from edge computing to cloud computing. Gemini can be widely applied in creative design, writing assistance, question answering, code generation, and more.
AI Model
11.4M
Chinese Picks
Liblibai
LiblibAI is a leading Chinese AI creative platform offering powerful AI creative tools to help creators bring their imagination to life. The platform provides a vast library of free AI creative models, allowing users to search and utilize these models for image, text, and audio creations. Users can also train their own AI models on the platform. Focused on the diverse needs of creators, LiblibAI is committed to creating inclusive conditions and serving the creative industry, ensuring that everyone can enjoy the joy of creation.
AI Model
6.9M