{"schema_version":"onlylabs.public_signal.v1","title":"AI21 Labs Model: ai21labs/AI21-Jamba2-Mini","description":"AI21 Labs model signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/c335fa3f-d9d7-48f5-b630-524d18848151","json_url":"https://onlylabs.fyi/signals/c335fa3f-d9d7-48f5-b630-524d18848151/signal.json","generated_at":"2026-06-11T02:49:47.140361+00:00","org":{"slug":"ai21","name":"AI21 Labs","category":"neolab","category_label":"Neolab","dossier_url":"https://onlylabs.fyi/labs/ai21","dossier_json_url":"https://onlylabs.fyi/labs/ai21/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/c335fa3f-d9d7-48f5-b630-524d18848151","signal_json":"https://onlylabs.fyi/signals/c335fa3f-d9d7-48f5-b630-524d18848151/signal.json","source":"https://huggingface.co/ai21labs/AI21-Jamba2-Mini","lab_dossier":"https://onlylabs.fyi/labs/ai21","lab_dossier_json":"https://onlylabs.fyi/labs/ai21/dossier.json","analysis":"https://onlylabs.fyi/analysis/ai21","analysis_json":"https://onlylabs.fyi/analysis/ai21/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/ai21/evidence.json","category":"https://onlylabs.fyi/neolabs","category_json":"https://onlylabs.fyi/neolabs.json","category_feed":"https://onlylabs.fyi/neolabs/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json?category=neolab","topic":"https://onlylabs.fyi/topics/releases","topic_signals_json":"https://onlylabs.fyi/topics/releases/signals.json?category=neolab","topic_feed":"https://onlylabs.fyi/topics/releases/feed.xml?category=neolab","data_business":null},"answer_pack":{"answer":"AI21 Labs published ai21labs/AI21-Jamba2-Mini. 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With 12B active parameters (52B total), it delivers precise question answering without the computational overhead of reasoning models. The model's SSM-Transformer architecture provides a memory-efficient solution for production agent stacks where consistent, grounded outputs are critical. Released under Apache 2.0 License with a 256K context window, Jamba2 Mini is designed for enterprise workflows that demand accuracy and steerability. For more details, read the [full release blog post](https://www.ai21.com/blog/introducing-jamba2/). 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