Jamba Mini 1.6
Jamba Mini 1.6 is a powerful hybrid SSM-Transformer AI model with 12B active parameters and a massive 256K context window, delivering unmatched speed at 188 tokens per second and superior performance on long-context RAG and grounded QA tasks. Outperforming rivals like Ministral and Llama 3.1 8B, it offers enterprise-grade efficiency, multilingual support, and reliable citations for secure, high-precision deployments.
Available for Chat, Vision, and File Uploads.
Performance Benchmarks
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Why use Jamba Mini 1.6?
Hybrid Architecture
Combines transformer and state-space models (SSM) for efficient long-context processing up to 256K tokens
Long Context Reasoning
Supports massive 256K context window excelling in RAG and grounded QA with high retrieval accuracy
Fast Inference Speed
Delivers up to 2.5x faster inference and low latency for enterprise tasks like summarization and tool use
Capability Examples
Long Context RAG Query
High-Speed Data Classification
How to use
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