{"schema_version":"onlylabs.public_signal.v1","title":"Arcee AI Model: arcee-ai/Trinity-Mini","description":"Arcee AI model signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/5b0a8b46-a677-408c-aa20-018d31cecad2","json_url":"https://onlylabs.fyi/signals/5b0a8b46-a677-408c-aa20-018d31cecad2/signal.json","generated_at":"2026-06-11T02:49:49.90024+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/5b0a8b46-a677-408c-aa20-018d31cecad2","signal_json":"https://onlylabs.fyi/signals/5b0a8b46-a677-408c-aa20-018d31cecad2/signal.json","source":"https://huggingface.co/arcee-ai/Trinity-Mini","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. This model signal is evidence of what shipped on model infrastructure and how the release is positioned. High-signal details: license other · 14.9K HF downloads · Notable model release with decent HF downloads. 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-Mini","source_host":"huggingface.co","occurred_at":"2025-12-01T16:12:10+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":"26.1B","source":"model"},{"label":"Downloads","value":"14.9K","source":"traction"},{"label":"Likes","value":"191","source":"traction"},{"label":"Notability","value":"Notable model release with decent HF downloads","source":"signal"},{"label":"Watch term","value":"Eval methodology","source":"evidence"},{"label":"Watch term","value":"Model card","source":"model"},{"label":"Watch term","value":"Data pipeline","source":"evidence"},{"label":"Watch term","value":"Infrastructure","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-Mini/raw/main/README.md"],"related_signals":6,"has_source_url":true,"latest_page_fetched_at":"2026-06-11T02:49:49.90024+00:00"},"data_business":{"matches":false,"lanes":[],"matched_terms":[],"score":null,"reason":null},"agent_handoff":{"signal_json":"https://onlylabs.fyi/signals/5b0a8b46-a677-408c-aa20-018d31cecad2/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; for this category, keep conclusions tied to category-specific strategy, source evidence, and follow-up questions.","required_sources":[{"label":"signal_json","url":"https://onlylabs.fyi/signals/5b0a8b46-a677-408c-aa20-018d31cecad2/signal.json","required":true},{"label":"source","url":"https://huggingface.co/arcee-ai/Trinity-Mini","required":true},{"label":"dossier_json","url":"https://onlylabs.fyi/labs/arcee/dossier.json","required":true},{"label":"analysis_evidence_json","url":"https://onlylabs.fyi/analysis/arcee/evidence.json","required":true},{"label":"topic_signals_json","url":"https://onlylabs.fyi/topics/releases/signals.json?category=neolab","required":false},{"label":"data_radar_json","url":null,"required":false}],"expected_output":["one-paragraph source-grounded interpretation","category-specific implication","confidence and missing evidence","recommended next source to inspect"],"prompt_seed":"Using only the linked onlylabs JSON, captured source context, and cited evidence, analyze Arcee AI's model signal \"arcee-ai/Trinity-Mini\" for neolab strategy."},"semantic_triples":[{"subject":"Arcee AI","predicate":"published model","object":"arcee-ai/Trinity-Mini","text":"Arcee AI published model arcee-ai/Trinity-Mini."},{"subject":"arcee-ai/Trinity-Mini","predicate":"is classified as","object":"model signal","text":"arcee-ai/Trinity-Mini is classified as model signal."},{"subject":"arcee-ai/Trinity-Mini","predicate":"belongs to","object":"releases desk","text":"arcee-ai/Trinity-Mini belongs to releases desk."},{"subject":"arcee-ai/Trinity-Mini","predicate":"has evidence coverage","object":"1 captured evidence page","text":"arcee-ai/Trinity-Mini has evidence coverage 1 captured evidence page."},{"subject":"arcee-ai/Trinity-Mini","predicate":"has captured page count","object":"1","text":"arcee-ai/Trinity-Mini has captured page count 1."},{"subject":"arcee-ai/Trinity-Mini","predicate":"has readable page count","object":"1","text":"arcee-ai/Trinity-Mini has readable page count 1."},{"subject":"arcee-ai/Trinity-Mini","predicate":"has related signal count","object":"6","text":"arcee-ai/Trinity-Mini has related signal count 6."},{"subject":"arcee-ai/Trinity-Mini","predicate":"has analysis playbook objective","object":"Turn model cards, repository releases, and launch artifacts into a current view of what shipped and what changed.","text":"arcee-ai/Trinity-Mini has analysis playbook objective Turn model cards, repository releases, and launch artifacts into a current view of what shipped and what changed.."},{"subject":"arcee-ai/Trinity-Mini","predicate":"has source host","object":"huggingface.co","text":"arcee-ai/Trinity-Mini has source host huggingface.co."},{"subject":"arcee-ai/Trinity-Mini","predicate":"has lab","object":"Arcee AI","text":"arcee-ai/Trinity-Mini has lab Arcee AI."},{"subject":"arcee-ai/Trinity-Mini","predicate":"has signal desk","object":"releases","text":"arcee-ai/Trinity-Mini has signal desk releases."},{"subject":"arcee-ai/Trinity-Mini","predicate":"has source host","object":"huggingface.co","text":"arcee-ai/Trinity-Mini has source host huggingface.co."},{"subject":"arcee-ai/Trinity-Mini","predicate":"has task","object":"text-generation","text":"arcee-ai/Trinity-Mini has task text-generation."},{"subject":"arcee-ai/Trinity-Mini","predicate":"has license","object":"other","text":"arcee-ai/Trinity-Mini has license other."},{"subject":"arcee-ai/Trinity-Mini","predicate":"has library","object":"transformers","text":"arcee-ai/Trinity-Mini has library transformers."},{"subject":"arcee-ai/Trinity-Mini","predicate":"has params","object":"26.1B","text":"arcee-ai/Trinity-Mini has params 26.1B."},{"subject":"arcee-ai/Trinity-Mini","predicate":"has downloads","object":"14.9K","text":"arcee-ai/Trinity-Mini has downloads 14.9K."}]},"intelligence":{"signal_desk":"releases","answer":"Arcee AI published arcee-ai/Trinity-Mini. This model signal is evidence of what shipped on model infrastructure and how the release is positioned. High-signal details: license other · 14.9K HF downloads · Notable model release with decent HF downloads. onlylabs links this event to 1 captured evidence page and 6 related model signals.","semantic_triples":[{"subject":"Arcee AI","predicate":"published model","object":"arcee-ai/Trinity-Mini","text":"Arcee AI published model arcee-ai/Trinity-Mini."},{"subject":"arcee-ai/Trinity-Mini","predicate":"is classified as","object":"model signal","text":"arcee-ai/Trinity-Mini is classified as model signal."},{"subject":"arcee-ai/Trinity-Mini","predicate":"belongs to","object":"releases desk","text":"arcee-ai/Trinity-Mini belongs to releases desk."},{"subject":"arcee-ai/Trinity-Mini","predicate":"has evidence coverage","object":"1 captured evidence page","text":"arcee-ai/Trinity-Mini has evidence coverage 1 captured evidence page."}]},"signal":{"id":"5b0a8b46-a677-408c-aa20-018d31cecad2","url":"https://onlylabs.fyi/signals/5b0a8b46-a677-408c-aa20-018d31cecad2","json_url":"https://onlylabs.fyi/signals/5b0a8b46-a677-408c-aa20-018d31cecad2/signal.json","source_url":"https://huggingface.co/arcee-ai/Trinity-Mini","title":"arcee-ai/Trinity-Mini","summary":"Arcee AI published a model signal. onlylabs watches model cards, launch context, and traction.","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"arcee","name":"Arcee AI","category":"neolab"},"occurred_at":"2025-12-01T16:12:10+00:00","first_seen_at":"2026-06-06T01:50:05.756622+00:00","date_source":"source","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-Mini/raw/main/README.md"]},"facets":{"pipeline_tag":"text-generation","license":"other"},"traction":{"github_stars":null,"hn_points":null,"hn_comments":null,"hn_story_id":null,"hf_downloads":14853,"hf_likes":191},"data_radar":null},"primary_evidence_page":{"url":"https://huggingface.co/arcee-ai/Trinity-Mini/raw/main/README.md","final_url":"https://huggingface.co/arcee-ai/Trinity-Mini/raw/main/README.md","title":"arcee-ai/Trinity-Mini model card","http_status":200,"content_type":"text/plain; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-11T02:49:49.90024+00:00","bytes":5267,"raw_path":"c1362e47388bb8487115cad8ab7e6403b020f75d70166e8bb2960d47464949fb.md","content_hash":"a4c57d32656c692259680f9674a4e6b09efe58cd4e468e1b7915526a169b6854","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-Mini-Base license_link: LICENSE license_name: openmdw-1.1 --- Trinity Mini Trinity Mini is an Arcee AI 26B MoE model with 3B active parameters. It is the medium-sized model in our new Trinity family, a series of open-weight models for enterprise and tinkerers alike. This model is tuned for reasoning, but in testing, it uses a similar total token count to competitive instruction-tuned models. *** Trinity Mini is trained on 10T tokens gathered and curated through a key partnership with [Datology](https://www.datologyai.com/), building upon the excellent dataset we used on [AFM-4.5B](https://huggingface.co/arcee-ai/AFM-4.5B) with additional math and code. Training was performed on a cluster of 512 H200 GPUs powered by [Prime Intellect](https://www.primeintellect.ai/) using HSDP parallelism. More details, including key..."},"evidence_pages":[{"url":"https://huggingface.co/arcee-ai/Trinity-Mini/raw/main/README.md","final_url":"https://huggingface.co/arcee-ai/Trinity-Mini/raw/main/README.md","title":"arcee-ai/Trinity-Mini model card","http_status":200,"content_type":"text/plain; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-11T02:49:49.90024+00:00","bytes":5267,"raw_path":"c1362e47388bb8487115cad8ab7e6403b020f75d70166e8bb2960d47464949fb.md","content_hash":"a4c57d32656c692259680f9674a4e6b09efe58cd4e468e1b7915526a169b6854","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-Mini-Base license_link: LICENSE license_name: openmdw-1.1 --- Trinity Mini Trinity Mini is an Arcee AI 26B MoE model with 3B active parameters. It is the medium-sized model in our new Trinity family, a series of open-weight models for enterprise and tinkerers alike. This model is tuned for reasoning, but in testing, it uses a similar total token count to competitive instruction-tuned models. *** Trinity Mini is trained on 10T tokens gathered and curated through a key partnership with [Datology](https://www.datologyai.com/), building upon the excellent dataset we used on [AFM-4.5B](https://huggingface.co/arcee-ai/AFM-4.5B) with additional math and code. Training was performed on a cluster of 512 H200 GPUs powered by [Prime Intellect](https://www.primeintellect.ai/) using HSDP parallelism. More details, including key..."}],"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":"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"}]}![\"Arcee](\"https://cdn-uploads.huggingface.co/production/uploads/6435718aaaef013d1aec3b8b/i-v1KyAMOW_mgVGeic9WJ.png\")