{"schema_version":"onlylabs.public_signal.v1","title":"Arcee AI Model: arcee-ai/Trinity-Large-Thinking","description":"Arcee AI model signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/429af5af-ee30-4a25-874a-139c404e5dec","json_url":"https://onlylabs.fyi/signals/429af5af-ee30-4a25-874a-139c404e5dec/signal.json","generated_at":"2026-06-11T02:41:02.494706+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/429af5af-ee30-4a25-874a-139c404e5dec","signal_json":"https://onlylabs.fyi/signals/429af5af-ee30-4a25-874a-139c404e5dec/signal.json","source":"https://huggingface.co/arcee-ai/Trinity-Large-Thinking","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-Large-Thinking. 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Built on Trinity-Large-Base and post-trained with extended chain-of-thought reasoning and agentic RL, Trinity-Large-Thinking delivers state-of-the-art performance on agentic benchmarks while maintaining strong general capabilities. Trinity-Large-Thinking generates explicit reasoning traces wrapped in..."},"evidence_pages":[{"url":"https://huggingface.co/arcee-ai/Trinity-Large-Thinking/raw/main/README.md","final_url":"https://huggingface.co/arcee-ai/Trinity-Large-Thinking/raw/main/README.md","title":"arcee-ai/Trinity-Large-Thinking model card","http_status":200,"content_type":"text/plain; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-11T02:41:02.494706+00:00","bytes":17146,"raw_path":"792a989aa3299ee2f9d1023862ed8aa375de9fa933a96d830408d610576a8e3a.md","content_hash":"8c000bf5ad430c4d70810032a6388e40bd39b7ec2c016a97a808f4af48caed1b","excerpt_chars":1200,"truncated":true,"excerpt":"--- license: other language: - en - es - fr - de - it - pt - ru - ar - hi - ko - zh library_name: transformers base_model: - arcee-ai/Trinity-Large-Base arxiv: - 2602.17004 tags: - reasoning - agentic - tool-calling - thinking license_link: LICENSE license_name: openmdw-1.1 --- <!-- markdownlint-disable first-line-h1 --> <!-- markdownlint-disable html --> <!-- markdownlint-disable no-duplicate-header --> <div align=\"center\"> <picture> <img src=\"https://cdn-uploads.huggingface.co/production/uploads/6435718aaaef013d1aec3b8b/i-v1KyAMOW_mgVGeic9WJ.png\" alt=\"Arcee Trinity Large Thinking\" style=\"max-width: 100%; height: auto;\" > </picture> </div> <hr> Trinity-Large-Thinking Introduction Trinity-Large-Thinking is a reasoning-optimized variant of Arcee AI's Trinity-Large family — a 398B-parameter sparse Mixture-of-Experts (MoE) model with approximately 13B active parameters per token. Built on Trinity-Large-Base and post-trained with extended chain-of-thought reasoning and agentic RL, Trinity-Large-Thinking delivers state-of-the-art performance on agentic benchmarks while maintaining strong general capabilities. 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