{"schema_version":"onlylabs.public_signal.v1","title":"Arcee AI Model: arcee-ai/Trinity-Large-TrueBase","description":"Arcee AI model signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/a4e0c878-5f8b-40c6-9f98-4ee804203235","json_url":"https://onlylabs.fyi/signals/a4e0c878-5f8b-40c6-9f98-4ee804203235/signal.json","generated_at":"2026-06-11T02:49:45.76205+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/a4e0c878-5f8b-40c6-9f98-4ee804203235","signal_json":"https://onlylabs.fyi/signals/a4e0c878-5f8b-40c6-9f98-4ee804203235/signal.json","source":"https://huggingface.co/arcee-ai/Trinity-Large-TrueBase","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-TrueBase. 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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 10 trillion tokens of pretraining, prior to learning-rate annealing and before any instruction tuning or reinforcement learning. This checkpoint is intended for research, probing, ablation studies, and downstream fine-tuning and comes without any pre-baked alignment, instruction formatting, or preference optimization. More details on the training of Trinity Large are available in the..."},"evidence_pages":[{"url":"https://huggingface.co/arcee-ai/Trinity-Large-TrueBase/raw/main/README.md","final_url":"https://huggingface.co/arcee-ai/Trinity-Large-TrueBase/raw/main/README.md","title":"arcee-ai/Trinity-Large-TrueBase model card","http_status":200,"content_type":"text/plain; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-11T02:49:45.76205+00:00","bytes":6557,"raw_path":"14ab5470d7815b6384ceda34efcc359f7e657444d8ab40ac17592cd507a0db70.md","content_hash":"cfe9df6b7e593e68930ab80275fc5133a167c79430482d8c2560134a9c78b9ee","excerpt_chars":1200,"truncated":true,"excerpt":"--- license: other language: - en - es - fr - de - it - pt - ru - ar - hi - ko - zh library_name: transformers 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-TrueBase Introduction Trinity-Large-TrueBase is a base pretraining checkpoint 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 10 trillion tokens of pretraining, prior to learning-rate annealing and before any instruction tuning or reinforcement learning. This checkpoint is intended for research, probing, ablation studies, and downstream fine-tuning and comes without any pre-baked alignment, instruction formatting, or preference optimization. More details on the training of Trinity Large are available in the..."}],"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":"d077f164-5763-41f9-925d-f7baa485ef29","url":"https://onlylabs.fyi/signals/d077f164-5763-41f9-925d-f7baa485ef29","source_url":"https://huggingface.co/arcee-ai/Trinity-Large-Base","title":"arcee-ai/Trinity-Large-Base","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"arcee","name":"Arcee AI","category":"neolab"},"occurred_at":"2026-01-27T11:31:37+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"}]}