{"schema_version":"onlylabs.public_signal.v1","title":"Together AI Model: togethercomputer/m2-bert-80M-2k-retrieval","description":"Together AI model signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/4bb6be32-166b-4f54-a143-7ef4f339e935","json_url":"https://onlylabs.fyi/signals/4bb6be32-166b-4f54-a143-7ef4f339e935/signal.json","generated_at":"2026-06-11T03:28:19.256481+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/4bb6be32-166b-4f54-a143-7ef4f339e935","signal_json":"https://onlylabs.fyi/signals/4bb6be32-166b-4f54-a143-7ef4f339e935/signal.json","source":"https://huggingface.co/togethercomputer/m2-bert-80M-2k-retrieval","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/m2-bert-80M-2k-retrieval. 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Check out the paper [Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture](https://arxiv.org/abs/2310.12109) and our [blog post]() on retrieval for more on how we trained this model for long sequence. This model was trained by Jon Saad-Falcon, Dan Fu, and Simran Arora. Check out our [GitHub](https://github.com/HazyResearch/m2/tree/main) for instructions on how to download and fine-tune it! How to use You can load this model using Hugging Face `AutoModel`: ```python from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained( \"togethercomputer/m2-bert-80M-2k-retrieval\", trust_remote_code=True ) ``` You should expect to see a large error message about unused parameters for FlashFFTConv. If you'd like to load the model with FlashFFTConv, you can check out our [GitHub](https://github.com/HazyResearch/m2/tree/main). This model generates embeddings for retrieval. The embeddings have a..."},"evidence_pages":[{"url":"https://huggingface.co/togethercomputer/m2-bert-80M-2k-retrieval/raw/main/README.md","final_url":"https://huggingface.co/togethercomputer/m2-bert-80M-2k-retrieval/raw/main/README.md","title":"togethercomputer/m2-bert-80M-2k-retrieval model card","http_status":200,"content_type":"text/plain; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-11T03:28:19.256481+00:00","bytes":3473,"raw_path":"68593b6b8f9650953fbf44da56e4e830f741a1fbe2f64631d00f48a9a5493802.md","content_hash":"9b7ab169363fd7db7db679c45f49c51547892c36976b300317c481a05c0a0df3","excerpt_chars":1200,"truncated":true,"excerpt":"--- license: apache-2.0 language: - en pipeline_tag: sentence-similarity inference: false --- Monarch Mixer-BERT An 80M checkpoint of M2-BERT, pretrained with sequence length 2048, and it has been fine-tuned for long-context retrieval. Check out the paper [Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture](https://arxiv.org/abs/2310.12109) and our [blog post]() on retrieval for more on how we trained this model for long sequence. This model was trained by Jon Saad-Falcon, Dan Fu, and Simran Arora. Check out our [GitHub](https://github.com/HazyResearch/m2/tree/main) for instructions on how to download and fine-tune it! How to use You can load this model using Hugging Face `AutoModel`: ```python from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained( \"togethercomputer/m2-bert-80M-2k-retrieval\", trust_remote_code=True ) ``` You should expect to see a large error message about unused parameters for FlashFFTConv. If you'd like to load the model with FlashFFTConv, you can check out our [GitHub](https://github.com/HazyResearch/m2/tree/main). This model generates embeddings for retrieval. The embeddings have a..."}],"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":"93bbdc8d-2ee5-4111-99c5-34012f00fc79","url":"https://onlylabs.fyi/signals/93bbdc8d-2ee5-4111-99c5-34012f00fc79","source_url":"https://huggingface.co/togethercomputer/M1-3B","title":"togethercomputer/M1-3B","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"},{"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"}]}