Jamba Mini 1.7
Compact hybrid SSM-Transformer MoE with 256K context.
About
Jamba Mini 1.7 is the compact member of AI21 Labs' Jamba open model family, built on a hybrid architecture blending Transformer attention layers, Mamba state-space layers, and Mixture-of-Experts. At 52B total parameters with 12B active, it keeps the family's 256K-token context window while targeting single-GPU deployment.
The 1.7 update focuses on improved grounding and instruction-following, delivering more context-faithful answers and better steerability for enterprise applications in finance, healthcare, retail, and education. It supports nine languages and is released under the Jamba Open Model License, available on Hugging Face and AI21's API.
Specs
Context window
Pricing
Free quota
API access
Weights
Released
Benchmarks
Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.
Use cases
Trust score — 6/10
Scored 6/10 (metrics tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 66; Trending score 58/100 from researcher assessment.