https://arxivexplained.com/papers/kimi-k2-open-agentic-intelligence

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سلام تصویر رو شرح بده

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We propose the\nMuonClip optimizer, which improves upon Muon with a novel QK-clip technique to\naddress training instability while enjoying the advanced token efficiency of\nMuon. Based on MuonClip, K2 was pre-trained on 15.5 trillion tokens with zero\nloss spike. During post-training, K2 undergoes a multi-stage post-training\nprocess, highlighted by a large-scale agentic data synthesis pipeline and a\njoint reinforcement learning (RL) stage, where the model improves its\ncapabilities through interactions with real and synthetic environments.\n Kimi K2 achieves state-of-the-art performance among open-source non-thinking\nmodels, with strengths in agentic capabilities. Notably, K2 obtains 66.1 on\nTau2-Bench, 76.5 on ACEBench (En), 65.8 on SWE-Bench Verified, and 47.3 on\nSWE-Bench Multilingual -- surpassing most open and closed-sourced baselines in\nnon-thinking settings. It also exhibits strong capabilities in coding,\nmathematics, and reasoning tasks, with a score of 53.7 on LiveCodeBench v6,\n49.5 on AIME 2025, 75.1 on GPQA-Diamond, and 27.1 on OJBench, all without\nextended thinking. These results position Kimi K2 as one of the most capable\nopen-source large language models to date, particularly in software engineering\nand agentic tasks. We release our base and post-trained model checkpoints to\nfacilitate future research and applications of agentic intelligence.","upvotes":12,"discussionId":"688960b631e1218a08928177","ai_summary":"Kimi K2, a large language model with 32 billion active parameters, uses the MuonClip optimizer and achieves state-of-the-art performance in various benchmarks, including agentic capabilities, coding, mathematics, and reasoning tasks.","ai_keywords":["Mixture-of-Experts","MoE","MuonClip","QK-clip","token efficiency","large-scale agentic data synthesis","joint reinforcement learning","Tau2-Bench","ACEBench","SWE-Bench Verified","SWE-Bench Multilingual","LiveCodeBench","AIME 2025","GPQA-Diamond","OJBench"]},"canReadDatabase":false,"canManagePapers":false,"canSubmit":false,"hasHfLevelAccess":false,"upvoted":false,"upvoters":[{"_id":"62eb8941185591f0372d8595","avatarUrl":"/avatars/5f59bb537f6c28e58670e313d0fc6817.svg","isPro":false,"fullname":"Yinpei Su","user":"suyinpei","type":"user"},{"_id":"6331606f18711776b4655e67","avatarUrl":"/avatars/1479c2ca743b9f92d845b0ed23fcd07b.svg","isPro":false,"fullname":"Enming Yuan","user":"EnmingYuan","type":"user"},{"_id":"63c6cb6a50cc81901da65e15","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/63c6cb6a50cc81901da65e15/t4LN1BPCFlwbSJ9GD9YDd.jpeg","isPro":true,"fullname":"Théo Pomies","user":"theopomies","type":"user"},{"_id":"6042b2759e905013ae8715ce","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/6042b2759e905013ae8715ce/2nZ1ObhgoQKmC6-1Tw-ON.png","isPro":false,"fullname":"Michael Feldman","user":"mfeldman143","type":"user"},{"_id":"638f5839f6de4b9e7e1627fb","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/638f5839f6de4b9e7e1627fb/6QGkrqRag6-GnH9k60Oil.jpeg","isPro":false,"fullname":"Yu Zhang","user":"yzhangcs","type":"user"},{"_id":"691ec3b9c827203308577ee0","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/noauth/Iu-1HKAyadZ3aDdWe1Qxt.jpeg","isPro":false,"fullname":"Shivam","user":"theshiv01","type":"user"},{"_id":"68525b342230a897a65cc1c0","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/68525b342230a897a65cc1c0/Y-XpETNmagFcRy3cXEYL7.jpeg","isPro":false,"fullname":"Jenny Chen","user":"jenny-miromind","type":"user"},{"_id":"5f0c746619cb630495b814fd","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1594651707950-noauth.jpeg","isPro":true,"fullname":"Lewis Tunstall","user":"lewtun","type":"user"},{"_id":"63107b18e87051f3e3e0f598","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/63107b18e87051f3e3e0f598/R9onir4Y0MZuq1jEWCZ2-.jpeg","isPro":false,"fullname":"Unchun Yang","user":"ucyang","type":"user"},{"_id":"669d9e56fe9496b3c6db6e7e","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/669d9e56fe9496b3c6db6e7e/qfwpxcGN0K5dIrks1R1gF.jpeg","isPro":false,"fullname":"Ilya Pereverzin","user":"NodeLinker","type":"user"},{"_id":"62b6d20416ff90e6198301b6","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1656148456743-noauth.png","isPro":false,"fullname":"Longguang Zhong","user":"GGLS","type":"user"},{"_id":"693cd1a01c6a66a209f66138","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/no-auth/_UxKpe36V2Pc83pKkcRKg.png","isPro":false,"fullname":"Galaxa Labs","user":"Galaxa","type":"user"}],"acceptLanguages":["*"]}">