LLM Reference

Jamba-Instruct

About

Jamba-Instruct, developed by AI21 Labs, is a cutting-edge large language model tailored for enterprise applications. It boasts a remarkable 256,000-token context window, enabling it to process vast amounts of data, equivalent to an 800-page novel, making it ideal for tasks like summarization, question answering, and document analysis. Utilizing a hybrid architecture that blends Structured State Space (SSM) technology with traditional Transformer layers, Jamba-Instruct is designed for optimal performance and efficiency in managing long-context scenarios. Instruction-tuned to handle complex commands and engage in open-ended dialogues, it prioritizes high safety standards, making it suitable for diverse applications such as chatbots, financial analysis, and legal document summaries while maintaining cost-effectiveness and low latency 2512.

Capabilities

MultimodalFunction CallingTool UseJSON Mode

Providers(2)

ProviderInput (per 1M)Output (per 1M)Type
AI21 Studio
Serverless
Azure OpenAI$0.5$0.7
Serverless

Specifications

FamilyJamba
Released2024-05-02
Parameters52B (12B active)
Context256K
ArchitectureMixture of Experts
Knowledge cutoff2024-03
Specializationgeneral
LicenseJamba Open Model