{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/olmoe-open-mixture-of-experts-language-models","title":"OLMoE: Open Mixture-of-Experts Language Models","arxiv_id":"2409.02060","date":"2024-09-03","proceeding":null,"authors":["Niklas Muennighoff","Luca Soldaini","Dirk Groeneveld","Kyle Lo","Jacob Morrison","Sewon Min","Weijia Shi","Pete Walsh","Oyvind Tafjord","Nathan Lambert","Yuling Gu","Shane Arora","Akshita Bhagia","Dustin Schwenk","David Wadden","Alexander Wettig","Binyuan Hui","Tim Dettmers","Douwe Kiela","Ali Farhadi","Noah A. Smith","Pang Wei Koh","Amanpreet Singh","Hannaneh Hajishirzi"],"abstract":"We introduce OLMoE, a fully open, state-of-the-art language model leveraging sparse Mixture-of-Experts (MoE). OLMoE-1B-7B has 7 billion (B) parameters but uses only 1B per input token. We pretrain it on 5 trillion tokens and further adapt it to create OLMoE-1B-7B-Instruct. Our models outperform all available models with similar active parameters, even surpassing larger ones like Llama2-13B-Chat and DeepSeekMoE-16B. We present various experiments on MoE training, analyze routing in our model showing high specialization, and open-source all aspects of our work: model weights, training data, code, and logs.","url_abs":"https://arxiv.org/abs/2409.02060v1","url_pdf":"https://arxiv.org/pdf/2409.02060v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"olmoe-open-mixture-of-experts-language-models","repo_url":"https://github.com/allenai/OLMoE","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"olmoe-open-mixture-of-experts-language-models","repo_url":"https://github.com/pwc-1/Paper-9/tree/main/2/olmo","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null}],"tasks":[{"task_slug":"language-modeling","task_name":"Language Modeling"},{"task_slug":"language-modelling","task_name":"Language Modelling"},{"task_slug":"mixture-of-experts","task_name":"Mixture-of-Experts"}],"methods":[{"method_slug":"moe","method_name":"MoE"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/2409.02060","atlas_url":"https://app.syntology.ai/?focus=2409.02060","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2409.02060"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-25T09:33:49+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/pwc-1/Paper-9/tree/main/2/olmo","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/allenai/OLMoE","reach":null}],"summary":{"ran_draft_wrong":1},"by_repo_kind":{"official":{"samples":1,"ran":1,"repositories":1}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":0,"samples":[{"code_sha256_prefix":"e67c82963b22e823","entry":"set_args_for_val","repo":"allenai/OLMoE","repo_kind":"official","path":"scripts/eval_openlm_ckpt.py","file_url":"https://github.com/allenai/OLMoE/blob/HEAD/scripts/eval_openlm_ckpt.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"e67c82963b22e823"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}