{"schema_version":"onlylabs.public_signal.v1","title":"Together AI Model: togethercomputer/M1-3B","description":"Together AI model signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/93bbdc8d-2ee5-4111-99c5-34012f00fc79","json_url":"https://onlylabs.fyi/signals/93bbdc8d-2ee5-4111-99c5-34012f00fc79/signal.json","generated_at":"2026-06-11T02:50:42.929875+00:00","org":{"slug":"together-ai","name":"Together AI","category":"neocloud","category_label":"Neocloud","dossier_url":"https://onlylabs.fyi/labs/together-ai","dossier_json_url":"https://onlylabs.fyi/labs/together-ai/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/93bbdc8d-2ee5-4111-99c5-34012f00fc79","signal_json":"https://onlylabs.fyi/signals/93bbdc8d-2ee5-4111-99c5-34012f00fc79/signal.json","source":"https://huggingface.co/togethercomputer/M1-3B","lab_dossier":"https://onlylabs.fyi/labs/together-ai","lab_dossier_json":"https://onlylabs.fyi/labs/together-ai/dossier.json","analysis":"https://onlylabs.fyi/analysis/together-ai","analysis_json":"https://onlylabs.fyi/analysis/together-ai/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/together-ai/evidence.json","category":"https://onlylabs.fyi/neoclouds","category_json":"https://onlylabs.fyi/neoclouds.json","category_feed":"https://onlylabs.fyi/neoclouds/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json?category=neocloud","topic":"https://onlylabs.fyi/topics/releases","topic_signals_json":"https://onlylabs.fyi/topics/releases/signals.json?category=neocloud","topic_feed":"https://onlylabs.fyi/topics/releases/feed.xml?category=neocloud","data_business":null},"answer_pack":{"answer":"Together AI published togethercomputer/M1-3B. This model signal is evidence of what shipped on model infrastructure and how the release is positioned. High-signal details: license mit · 14 HF downloads · Very low traction (23 downloads), small model. onlylabs links this event to 1 captured evidence page and 6 related model signals.","signal_desk":"releases","source_context":{"source_url":"https://huggingface.co/togethercomputer/M1-3B","source_host":"huggingface.co","occurred_at":"2025-05-02T04:30:50+00:00","first_seen_at":"2026-06-06T01:49:45.746189+00:00","date_source":"source","context":null},"context_markers":[{"label":"Lab","value":"Together 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":"mit","source":"model"},{"label":"Library","value":"transformers","source":"model"},{"label":"Params","value":"3.4B","source":"model"},{"label":"Downloads","value":"14","source":"traction"},{"label":"Likes","value":"9","source":"traction"},{"label":"Notability","value":"Very low traction (23 downloads), small model","source":"signal"},{"label":"Watch term","value":"Model card","source":"model"},{"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/togethercomputer/M1-3B/raw/main/README.md"],"related_signals":6,"has_source_url":true,"latest_page_fetched_at":"2026-06-11T02:50:42.929875+00:00"},"data_business":{"matches":false,"lanes":[],"matched_terms":[],"score":null,"reason":null},"agent_handoff":{"signal_json":"https://onlylabs.fyi/signals/93bbdc8d-2ee5-4111-99c5-34012f00fc79/signal.json","dossier_json":"https://onlylabs.fyi/labs/together-ai/dossier.json","analysis_json":"https://onlylabs.fyi/analysis/together-ai/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/together-ai/evidence.json","topic_signals_json":"https://onlylabs.fyi/topics/releases/signals.json?category=neocloud","topic_feed":"https://onlylabs.fyi/topics/releases/feed.xml?category=neocloud","category_signals_json":"https://onlylabs.fyi/signals.json?category=neocloud","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/93bbdc8d-2ee5-4111-99c5-34012f00fc79/signal.json","required":true},{"label":"source","url":"https://huggingface.co/togethercomputer/M1-3B","required":true},{"label":"dossier_json","url":"https://onlylabs.fyi/labs/together-ai/dossier.json","required":true},{"label":"analysis_evidence_json","url":"https://onlylabs.fyi/analysis/together-ai/evidence.json","required":true},{"label":"topic_signals_json","url":"https://onlylabs.fyi/topics/releases/signals.json?category=neocloud","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 Together AI's model signal \"togethercomputer/M1-3B\" for neocloud strategy."},"semantic_triples":[{"subject":"Together AI","predicate":"published model","object":"togethercomputer/M1-3B","text":"Together AI published model togethercomputer/M1-3B."},{"subject":"togethercomputer/M1-3B","predicate":"is classified as","object":"model signal","text":"togethercomputer/M1-3B is classified as model signal."},{"subject":"togethercomputer/M1-3B","predicate":"belongs to","object":"releases desk","text":"togethercomputer/M1-3B belongs to releases desk."},{"subject":"togethercomputer/M1-3B","predicate":"has evidence coverage","object":"1 captured evidence page","text":"togethercomputer/M1-3B has evidence coverage 1 captured evidence page."},{"subject":"togethercomputer/M1-3B","predicate":"has captured page count","object":"1","text":"togethercomputer/M1-3B has captured page count 1."},{"subject":"togethercomputer/M1-3B","predicate":"has readable page count","object":"1","text":"togethercomputer/M1-3B has readable page count 1."},{"subject":"togethercomputer/M1-3B","predicate":"has related signal count","object":"6","text":"togethercomputer/M1-3B has related signal count 6."},{"subject":"togethercomputer/M1-3B","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":"togethercomputer/M1-3B has analysis playbook objective Turn model cards, repository releases, and launch artifacts into a current view of what shipped and what changed.."},{"subject":"togethercomputer/M1-3B","predicate":"has source host","object":"huggingface.co","text":"togethercomputer/M1-3B has source host huggingface.co."},{"subject":"togethercomputer/M1-3B","predicate":"has lab","object":"Together AI","text":"togethercomputer/M1-3B has lab Together AI."},{"subject":"togethercomputer/M1-3B","predicate":"has signal desk","object":"releases","text":"togethercomputer/M1-3B has signal desk releases."},{"subject":"togethercomputer/M1-3B","predicate":"has source host","object":"huggingface.co","text":"togethercomputer/M1-3B has source host huggingface.co."},{"subject":"togethercomputer/M1-3B","predicate":"has task","object":"text-generation","text":"togethercomputer/M1-3B has task text-generation."},{"subject":"togethercomputer/M1-3B","predicate":"has license","object":"mit","text":"togethercomputer/M1-3B has license mit."},{"subject":"togethercomputer/M1-3B","predicate":"has library","object":"transformers","text":"togethercomputer/M1-3B has library transformers."},{"subject":"togethercomputer/M1-3B","predicate":"has params","object":"3.4B","text":"togethercomputer/M1-3B has params 3.4B."},{"subject":"togethercomputer/M1-3B","predicate":"has downloads","object":"14","text":"togethercomputer/M1-3B has downloads 14."}]},"intelligence":{"signal_desk":"releases","answer":"Together AI published togethercomputer/M1-3B. This model signal is evidence of what shipped on model infrastructure and how the release is positioned. High-signal details: license mit · 14 HF downloads · Very low traction (23 downloads), small model. onlylabs links this event to 1 captured evidence page and 6 related model signals.","semantic_triples":[{"subject":"Together AI","predicate":"published model","object":"togethercomputer/M1-3B","text":"Together AI published model togethercomputer/M1-3B."},{"subject":"togethercomputer/M1-3B","predicate":"is classified as","object":"model signal","text":"togethercomputer/M1-3B is classified as model signal."},{"subject":"togethercomputer/M1-3B","predicate":"belongs to","object":"releases desk","text":"togethercomputer/M1-3B belongs to releases desk."},{"subject":"togethercomputer/M1-3B","predicate":"has evidence coverage","object":"1 captured evidence page","text":"togethercomputer/M1-3B has evidence coverage 1 captured evidence page."}]},"signal":{"id":"93bbdc8d-2ee5-4111-99c5-34012f00fc79","url":"https://onlylabs.fyi/signals/93bbdc8d-2ee5-4111-99c5-34012f00fc79","json_url":"https://onlylabs.fyi/signals/93bbdc8d-2ee5-4111-99c5-34012f00fc79/signal.json","source_url":"https://huggingface.co/togethercomputer/M1-3B","title":"togethercomputer/M1-3B","summary":"Together AI published a model signal. onlylabs watches model cards, launch context, and traction.","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"together-ai","name":"Together AI","category":"neocloud"},"occurred_at":"2025-05-02T04:30:50+00:00","first_seen_at":"2026-06-06T01:49:45.746189+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/togethercomputer/M1-3B/raw/main/README.md"]},"facets":{"pipeline_tag":"text-generation","license":"mit"},"traction":{"github_stars":null,"hn_points":null,"hn_comments":null,"hn_story_id":null,"hf_downloads":14,"hf_likes":9},"data_radar":null},"primary_evidence_page":{"url":"https://huggingface.co/togethercomputer/M1-3B/raw/main/README.md","final_url":"https://huggingface.co/togethercomputer/M1-3B/raw/main/README.md","title":"togethercomputer/M1-3B model card","http_status":200,"content_type":"text/plain; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-11T02:50:42.929875+00:00","bytes":1657,"raw_path":"311684ebb5703f2ee203f90b95ac1e5f69a30f8c716a4cfa775ed841afe70721.md","content_hash":"de73ac5e323329ed7fa340c83bc795bd37b560b80465ce8c29d3d1d6ebda88ea","excerpt_chars":1200,"truncated":true,"excerpt":"--- license: mit library_name: transformers pipeline_tag: text-generation --- This is the model is trained using paper, [M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models](https://arxiv.org/abs/2504.10449). | **Model** | **AIME 2025** | **AIME 2024** | **MATH 500** | **AMC 2023** | **OlympiadBench** | |-----------------------------------|---------------|---------------|--------------|--------------|-------------------| | Qwen2.5-Math-7B-Instruct (Transformer) | – | 13.3 | 79.8 | 50.6 | 40.7 | | rStar-Math-7B (Transformer) | – | 26.7 | 78.4 | 47.5 | 47.1 | | Eurus-2-7B-PRIME (Transformer) | – | 26.7 | 79.2 | 57.8 | 42.1 | | Qwen2.5-7B-SimpleRL (Transformer) | – | 26.7 | 82.4 | 62.5 | 43.3 | | DeepSeek-R1-Distill-Qwen-1.5B (Transformer) | 23.0 | 28.8 | 82.8 | 62.9 | 43.3 | | **M1-3B (Mamba Hybrid Models)** | 23.5 | 28.5 | 84.0 | 62.8 | 47.3 | Code: https://github.com/jxiw/M1 ``` @article{wang2025m1scalabletesttimecompute, title={M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models}, author={Junxiong Wang and Wen-Ding Li and Daniele Paliotta and Daniel Ritter and Alexander M. Rush and Tri Dao}, journal={arXiv preprint arXiv:2504.10449}, year={2025},..."},"evidence_pages":[{"url":"https://huggingface.co/togethercomputer/M1-3B/raw/main/README.md","final_url":"https://huggingface.co/togethercomputer/M1-3B/raw/main/README.md","title":"togethercomputer/M1-3B model card","http_status":200,"content_type":"text/plain; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-11T02:50:42.929875+00:00","bytes":1657,"raw_path":"311684ebb5703f2ee203f90b95ac1e5f69a30f8c716a4cfa775ed841afe70721.md","content_hash":"de73ac5e323329ed7fa340c83bc795bd37b560b80465ce8c29d3d1d6ebda88ea","excerpt_chars":1200,"truncated":true,"excerpt":"--- license: mit library_name: transformers pipeline_tag: text-generation --- This is the model is trained using paper, [M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models](https://arxiv.org/abs/2504.10449). | **Model** | **AIME 2025** | **AIME 2024** | **MATH 500** | **AMC 2023** | **OlympiadBench** | |-----------------------------------|---------------|---------------|--------------|--------------|-------------------| | Qwen2.5-Math-7B-Instruct (Transformer) | – | 13.3 | 79.8 | 50.6 | 40.7 | | rStar-Math-7B (Transformer) | – | 26.7 | 78.4 | 47.5 | 47.1 | | Eurus-2-7B-PRIME (Transformer) | – | 26.7 | 79.2 | 57.8 | 42.1 | | Qwen2.5-7B-SimpleRL (Transformer) | – | 26.7 | 82.4 | 62.5 | 43.3 | | DeepSeek-R1-Distill-Qwen-1.5B (Transformer) | 23.0 | 28.8 | 82.8 | 62.9 | 43.3 | | **M1-3B (Mamba Hybrid Models)** | 23.5 | 28.5 | 84.0 | 62.8 | 47.3 | Code: https://github.com/jxiw/M1 ``` @article{wang2025m1scalabletesttimecompute, title={M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models}, author={Junxiong Wang and Wen-Ding Li and Daniele Paliotta and Daniel Ritter and Alexander M. Rush and Tri Dao}, journal={arXiv preprint arXiv:2504.10449}, year={2025},..."}],"related_signals":[{"id":"22026f92-21da-461f-90e2-0debbedc287f","url":"https://onlylabs.fyi/signals/22026f92-21da-461f-90e2-0debbedc287f","source_url":"https://huggingface.co/togethercomputer/Aurora-Spec-Minimax-M2.5","title":"togethercomputer/Aurora-Spec-Minimax-M2.5","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"together-ai","name":"Together AI","category":"neocloud"},"occurred_at":"2026-02-19T20:32:12+00:00","first_seen_at":"2026-06-06T01:49:45.746189+00:00","date_source":"source"},{"id":"0168c6b5-67ca-48c2-a176-2423a1f3f782","url":"https://onlylabs.fyi/signals/0168c6b5-67ca-48c2-a176-2423a1f3f782","source_url":"https://huggingface.co/togethercomputer/Aurora-Spec-Minimax-M2.1","title":"togethercomputer/Aurora-Spec-Minimax-M2.1","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"together-ai","name":"Together AI","category":"neocloud"},"occurred_at":"2026-02-04T23:02:09+00:00","first_seen_at":"2026-06-06T01:49:45.746189+00:00","date_source":"source"},{"id":"57239096-e82d-4c02-b406-1d6717784602","url":"https://onlylabs.fyi/signals/57239096-e82d-4c02-b406-1d6717784602","source_url":"https://huggingface.co/togethercomputer/Aurora-Spec-Qwen3-Coder-Next-FP8","title":"togethercomputer/Aurora-Spec-Qwen3-Coder-Next-FP8","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"together-ai","name":"Together AI","category":"neocloud"},"occurred_at":"2026-02-03T05:16:50+00:00","first_seen_at":"2026-06-06T01:49:45.746189+00:00","date_source":"source"},{"id":"1df1c794-a659-44cb-9190-bf7ccd672f04","url":"https://onlylabs.fyi/signals/1df1c794-a659-44cb-9190-bf7ccd672f04","source_url":"https://huggingface.co/togethercomputer/qwen2_vl_7b_instruct-biomedical-stage2","title":"togethercomputer/qwen2_vl_7b_instruct-biomedical-stage2","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"together-ai","name":"Together AI","category":"neocloud"},"occurred_at":"2025-01-21T18:16:55+00:00","first_seen_at":"2026-06-06T01:49:45.746189+00:00","date_source":"source"},{"id":"f9ef9883-7f1e-493e-a1ac-a04be0da3d0d","url":"https://onlylabs.fyi/signals/f9ef9883-7f1e-493e-a1ac-a04be0da3d0d","source_url":"https://huggingface.co/togethercomputer/gemma-2-9b-it-MoAA-DPO","title":"togethercomputer/gemma-2-9b-it-MoAA-DPO","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"together-ai","name":"Together AI","category":"neocloud"},"occurred_at":"2024-12-06T01:28:39+00:00","first_seen_at":"2026-06-06T01:49:45.746189+00:00","date_source":"source"},{"id":"2c3d3113-6f68-4140-8c03-6c54a29e967d","url":"https://onlylabs.fyi/signals/2c3d3113-6f68-4140-8c03-6c54a29e967d","source_url":"https://huggingface.co/togethercomputer/Llama-3.1-8B-Instruct-MoAA-DPO","title":"togethercomputer/Llama-3.1-8B-Instruct-MoAA-DPO","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"together-ai","name":"Together AI","category":"neocloud"},"occurred_at":"2024-12-05T23:47:39+00:00","first_seen_at":"2026-06-06T01:49:45.746189+00:00","date_source":"source"}]}