{"schema_version":"onlylabs.public_signal.v1","title":"Arcee AI Model: arcee-ai/Trinity-Large-Base","description":"Arcee AI model signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/d077f164-5763-41f9-925d-f7baa485ef29","json_url":"https://onlylabs.fyi/signals/d077f164-5763-41f9-925d-f7baa485ef29/signal.json","generated_at":"2026-06-11T02:49:45.572514+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/d077f164-5763-41f9-925d-f7baa485ef29","signal_json":"https://onlylabs.fyi/signals/d077f164-5763-41f9-925d-f7baa485ef29/signal.json","source":"https://huggingface.co/arcee-ai/Trinity-Large-Base","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-Base. This model signal is evidence of what shipped on model infrastructure and how the release is positioned. High-signal details: license other · 263 HF downloads · Low traction, routine model release.. onlylabs links this event to 1 captured evidence page and 6 related model signals.","signal_desk":"releases","source_context":{"source_url":"https://huggingface.co/arcee-ai/Trinity-Large-Base","source_host":"huggingface.co","occurred_at":"2026-01-27T11:31:37+00:00","first_seen_at":"2026-06-06T01:50:05.756622+00:00","date_source":"source","context":null},"context_markers":[{"label":"Lab","value":"Arcee AI","source":"signal"},{"label":"Signal desk","value":"releases","source":"signal"},{"label":"Source host","value":"huggingface.co","source":"source"},{"label":"Task","value":"text-generation","source":"model"},{"label":"License","value":"other","source":"model"},{"label":"Library","value":"transformers","source":"model"},{"label":"Params","value":"398.6B","source":"model"},{"label":"Downloads","value":"263","source":"traction"},{"label":"Likes","value":"58","source":"traction"},{"label":"Notability","value":"Low traction, routine model release.","source":"signal"},{"label":"Watch term","value":"RL environments","source":"evidence"},{"label":"Watch term","value":"Eval methodology","source":"evidence"},{"label":"Watch term","value":"Model card","source":"model"},{"label":"Watch term","value":"Infrastructure","source":"evidence"},{"label":"Watch term","value":"Safety and alignment","source":"evidence"},{"label":"Watch term","value":"Agents and tool use","source":"evidence"}],"evidence_coverage":{"target_pages":1,"captured_pages":1,"readable_pages":1,"capture_methods":["plain"],"missing_page_urls":[],"failed_page_urls":[],"blocked_page_urls":[],"page_urls":["https://huggingface.co/arcee-ai/Trinity-Large-Base/raw/main/README.md"],"related_signals":6,"has_source_url":true,"latest_page_fetched_at":"2026-06-11T02:49:45.572514+00:00"},"data_business":{"matches":false,"lanes":[],"matched_terms":[],"score":null,"reason":null},"agent_handoff":{"signal_json":"https://onlylabs.fyi/signals/d077f164-5763-41f9-925d-f7baa485ef29/signal.json","dossier_json":"https://onlylabs.fyi/labs/arcee/dossier.json","analysis_json":"https://onlylabs.fyi/analysis/arcee/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/arcee/evidence.json","topic_signals_json":"https://onlylabs.fyi/topics/releases/signals.json?category=neolab","topic_feed":"https://onlylabs.fyi/topics/releases/feed.xml?category=neolab","category_signals_json":"https://onlylabs.fyi/signals.json?category=neolab","data_radar_json":null,"opportunities_json":null},"analysis_playbook":{"objective":"Turn model cards, repository releases, and launch artifacts into a current view of what shipped and what changed.","evidence_focus":["model card","release note","version or tag","pipeline tag","license","downloads, likes, stars, and linked papers"],"extraction_questions":["What actually shipped, and through which public artifact?","Which releases include inspectable model, repo, paper, or package evidence?","Which launches create new eval, data, infra, or deployment needs?","Which shipped signals are missing captured page context?"],"signal_questions":["What shipped in this model artifact, and what evidence describes its capability, license, or traction?","What actually shipped, and through which public artifact?","Which releases include inspectable model, repo, paper, or package evidence?","Do the 6 related model signals show a repeated pattern?"],"output_fields":["org","release_type","artifact","traction","evidence_url"],"data_business_relevance":"Data-business lane extraction is scoped to frontier labs; 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It is a 398B-parameter sparse Mixture-of-Experts (MoE) model with approximately 13B active parameters per token. The checkpoint was captured after 17 trillion tokens of pretraining, including mid-training learning-rate anneals and context extension, but prior to any instruction tuning or reinforcement learning. This checkpoint represents the completed pretraining phase and serves as a foundation for research and downstream fine-tuning. More details on the training of Trinity Large are..."},"evidence_pages":[{"url":"https://huggingface.co/arcee-ai/Trinity-Large-Base/raw/main/README.md","final_url":"https://huggingface.co/arcee-ai/Trinity-Large-Base/raw/main/README.md","title":"arcee-ai/Trinity-Large-Base model card","http_status":200,"content_type":"text/plain; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-11T02:49:45.572514+00:00","bytes":6199,"raw_path":"5d8455c90dc6c9177cb37f77388485388fe2d154aa219c1cb18c949cb20a4279.md","content_hash":"56c29dc55f9fc8946bb2e196720e19961d9ee675321e615175656e76f1eb0bad","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-TrueBase 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\" style=\"max-width: 100%; height: auto;\" > </picture> </div> <hr> Trinity-Large-Base Introduction Trinity-Large-Base is a pretrained foundation model from Arcee AI's Trinity Large training run. It is a 398B-parameter sparse Mixture-of-Experts (MoE) model with approximately 13B active parameters per token. The checkpoint was captured after 17 trillion tokens of pretraining, including mid-training learning-rate anneals and context extension, but prior to any instruction tuning or reinforcement learning. This checkpoint represents the completed pretraining phase and serves as a foundation for research and downstream fine-tuning. More details on the training of Trinity Large are..."}],"related_signals":[{"id":"429af5af-ee30-4a25-874a-139c404e5dec","url":"https://onlylabs.fyi/signals/429af5af-ee30-4a25-874a-139c404e5dec","source_url":"https://huggingface.co/arcee-ai/Trinity-Large-Thinking","title":"arcee-ai/Trinity-Large-Thinking","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"arcee","name":"Arcee AI","category":"neolab"},"occurred_at":"2026-04-01T03:35:06+00:00","first_seen_at":"2026-06-06T01:50:05.756622+00:00","date_source":"source"},{"id":"b357f482-7717-4ab4-ae03-f146b4efef08","url":"https://onlylabs.fyi/signals/b357f482-7717-4ab4-ae03-f146b4efef08","source_url":"https://huggingface.co/arcee-ai/Trinity-Large-Preview","title":"arcee-ai/Trinity-Large-Preview","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"arcee","name":"Arcee AI","category":"neolab"},"occurred_at":"2026-01-27T14:52:00+00:00","first_seen_at":"2026-06-06T01:50:05.756622+00:00","date_source":"source"},{"id":"a4e0c878-5f8b-40c6-9f98-4ee804203235","url":"https://onlylabs.fyi/signals/a4e0c878-5f8b-40c6-9f98-4ee804203235","source_url":"https://huggingface.co/arcee-ai/Trinity-Large-TrueBase","title":"arcee-ai/Trinity-Large-TrueBase","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"arcee","name":"Arcee AI","category":"neolab"},"occurred_at":"2026-01-27T10:15:24+00:00","first_seen_at":"2026-06-06T01:50:05.756622+00:00","date_source":"source"},{"id":"b8d9abb6-e894-46ef-9a30-93ce6bcf43fc","url":"https://onlylabs.fyi/signals/b8d9abb6-e894-46ef-9a30-93ce6bcf43fc","source_url":"https://huggingface.co/arcee-ai/AFM-4.5B-Base-KDA-NoPE","title":"arcee-ai/AFM-4.5B-Base-KDA-NoPE","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"arcee","name":"Arcee AI","category":"neolab"},"occurred_at":"2025-12-14T21:35:17+00:00","first_seen_at":"2026-06-06T01:50:05.756622+00:00","date_source":"source"},{"id":"854622d8-0334-40e4-8706-9c1a05e69792","url":"https://onlylabs.fyi/signals/854622d8-0334-40e4-8706-9c1a05e69792","source_url":"https://huggingface.co/arcee-ai/AFM-4.5B-Base-KDA-Only","title":"arcee-ai/AFM-4.5B-Base-KDA-Only","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"arcee","name":"Arcee AI","category":"neolab"},"occurred_at":"2025-12-14T21:35:04+00:00","first_seen_at":"2026-06-06T01:50:05.756622+00:00","date_source":"source"},{"id":"87f44530-ad15-4971-b256-af2eaf6a27ed","url":"https://onlylabs.fyi/signals/87f44530-ad15-4971-b256-af2eaf6a27ed","source_url":"https://huggingface.co/arcee-ai/Trinity-Mini-Base-Pre-Anneal","title":"arcee-ai/Trinity-Mini-Base-Pre-Anneal","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"arcee","name":"Arcee AI","category":"neolab"},"occurred_at":"2025-12-11T17:42:16+00:00","first_seen_at":"2026-06-06T01:50:05.756622+00:00","date_source":"source"}]}