{"schema_version":"onlylabs.public_signal.v1","title":"AI21 Labs Model: ai21labs/Jamba-tiny-reward-dev","description":"AI21 Labs model signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/f4d67d57-7db3-4e7e-a11e-1c78c79a292c","json_url":"https://onlylabs.fyi/signals/f4d67d57-7db3-4e7e-a11e-1c78c79a292c/signal.json","generated_at":"2026-06-11T03:04:00.326258+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/f4d67d57-7db3-4e7e-a11e-1c78c79a292c","signal_json":"https://onlylabs.fyi/signals/f4d67d57-7db3-4e7e-a11e-1c78c79a292c/signal.json","source":"https://huggingface.co/ai21labs/Jamba-tiny-reward-dev","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/Jamba-tiny-reward-dev. 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It has 319M parameters (instead of 52B in [Jamba 1.5 Mini](https://huggingface.co/ai21labs/AI21-Jamba-1.5-Mini) (and [Jamba v0.1](https://huggingface.co/ai21labs/Jamba-v0.1)) and 398B in [Jamba 1.5 Large](https://huggingface.co/ai21labs/AI21-Jamba-1.5-Large)), and was trained on ~40B tokens. This model was created for unit testing purposes, by turning the first three rows of Jamba-tiny-dev's LM Head into a 3-attribute reward head. The bias was set to [1000, -1000, 0], so the outputs will be in that ballpark. 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