{"schema_version":"onlylabs.public_signal.v1","title":"Arcee AI Model: arcee-ai/Trinity-Mini-Base-Pre-Anneal","description":"Arcee AI model signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/87f44530-ad15-4971-b256-af2eaf6a27ed","json_url":"https://onlylabs.fyi/signals/87f44530-ad15-4971-b256-af2eaf6a27ed/signal.json","generated_at":"2026-06-11T02:49:48.401444+00:00","org":{"slug":"arcee","name":"Arcee AI","category":"neolab","category_label":"Neolab","dossier_url":"https://onlylabs.fyi/labs/arcee","dossier_json_url":"https://onlylabs.fyi/labs/arcee/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/87f44530-ad15-4971-b256-af2eaf6a27ed","signal_json":"https://onlylabs.fyi/signals/87f44530-ad15-4971-b256-af2eaf6a27ed/signal.json","source":"https://huggingface.co/arcee-ai/Trinity-Mini-Base-Pre-Anneal","lab_dossier":"https://onlylabs.fyi/labs/arcee","lab_dossier_json":"https://onlylabs.fyi/labs/arcee/dossier.json","analysis":"https://onlylabs.fyi/analysis/arcee","analysis_json":"https://onlylabs.fyi/analysis/arcee/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/arcee/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":"Arcee AI published arcee-ai/Trinity-Mini-Base-Pre-Anneal. 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It is the medium-sized model in our new Trinity family, a series of open-weight models for enterprise and tinkerers alike. This base model is a pre-anneal checkpoint captured at Adam LR: 0.0002, Muon LR: 0.001 before starting learning rate decay on a high-quality data mix. While this checkpoint was not exposed to the anneal phase mix containing high proportions of math and code content, it has been trained on significant amounts of such data. 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