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var data={alert:{show:false,color:'success',text:'',timeout:0,},theme:{dark:false,},nav:{showDrawer:false,showTOC:true,tocPanel:0,tab:'account',post:{discussionId:2065,currentPage:1,targetPage:1,total:51,anchor:0,goToOptions:{container:null,duration:0,easing:'easeInOutCubic',offset:-100,},worker:null,task:[],active:[],apiLock:[],originLike:new Map([]),},related:{block:1,}},search:{width:80,text:null,loading:false,},tags:[{id:66,url:'/t/6d21403b6a045c7166770014262f',name:'Ollama',color:'#66BB6A',icon:'mdi-tag-heart',},{id:61,url:'/t/6b3d071d6a045c7161770a094610',name:'Gemma',color:'#66BB6A',icon:'mdi-tag-heart',},],posts:[{id:25371,num:0,uid:6502,content:'\u003Cp\u003E由 google 出品，ollama 介绍就一句话“The current strongest model that fits on a single GPU.”，足以证明其强悍程度。\u003C/p\u003E\u003Cp\u003E我去 google ai 官方页面看了跑分，27b 的小体积，竟然把体积大自己 20 倍的 deepseek v3 满血模型给灭了？有点令人难以置信。\u003C/p\u003E\u003Cp\u003E官方介绍在这里，我也不知道真假，让子弹多飞一会儿。\u003C/p\u003E\u003Cp\u003Ehttps://ai.google.dev/gemma\u003C/p\u003E',ipRegion:'',updatedByUid:0,createdAt:'2025-03-12 17:28:04',updatedAt:'2025-03-14 21:42:24',mentionNum:0,mentionedBy:[],mentionUsers:[],likeUsers:[],},{id:25372,num:1,uid:7502,content:'claude：\u003Cbr\u003E说道跑分。。我可就不困了',ipRegion:'',updatedByUid:0,createdAt:'2025-03-12 17:35:48',updatedAt:'2025-03-14 21:42:24',mentionNum:0,mentionedBy:[],mentionUsers:[],likeUsers:[],},{id:25373,num:2,uid:6502,content:'不太一样，claude 是商业版。google 这个完全开源模型，包括底模都提供了，吹嘘水准已经到了商业标准。还是多模态，而且还能同时识别多张图片，似乎以前模型只能识别出一张图片。',ipRegion:'',updatedByUid:0,createdAt:'2025-03-12 17:38:51',updatedAt:'2025-03-14 21:42:24',mentionNum:0,mentionedBy:[],mentionUsers:[],likeUsers:[],},{id:25374,num:3,uid:7502,content:'claude ，跑分没赢过，体验没输过\u003Cbr\u003E\u003Cbr\u003E\u003Cbr\u003E先质疑一波，等量化模型出来大家跑一跑就知道了。',ipRegion:'',updatedByUid:0,createdAt:'2025-03-12 17:40:07',updatedAt:'2025-03-14 21:42:24',mentionNum:0,mentionedBy:[],mentionUsers:[],likeUsers:[],},{id:25375,num:4,uid:572,content:'这么说一张 A100 80G 就搞定了?',ipRegion:'',updatedByUid:0,createdAt:'2025-03-12 19:15:44',updatedAt:'2025-03-14 21:42:24',mentionNum:0,mentionedBy:[],mentionUsers:[],likeUsers:[],},{id:25376,num:5,uid:5868,content:'怎么没有和 qwq 32b 对比',ipRegion:'',updatedByUid:0,createdAt:'2025-03-12 19:18:24',updatedAt:'2025-03-14 21:42:24',mentionNum:0,mentionedBy:[],mentionUsers:[],likeUsers:[],},{id:25377,num:6,uid:88,content:'写的是 H100',ipRegion:'',updatedByUid:0,createdAt:'2025-03-12 19:24:46',updatedAt:'2025-03-14 21:42:24',mentionNum:0,mentionedBy:[],mentionUsers:[],likeUsers:[],},{id:25378,num:7,uid:708,content:'跑分冠军挺多的，最终还是需要是骡子是马拉出来遛遛',ipRegion:'',updatedByUid:0,createdAt:'2025-03-12 20:44:53',updatedAt:'2025-03-14 21:42:24',mentionNum:0,mentionedBy:[],mentionUsers:[],likeUsers:[],},{id:25379,num:8,uid:5118,content:'我玩了 qwq 32b 是真的爽，对中文的拿捏，估计 gemma3 无法达到，等子弹飞一飞',ipRegion:'',updatedByUid:0,createdAt:'2025-03-12 20:50:39',updatedAt:'2025-03-14 21:42:24',mentionNum:0,mentionedBy:[],mentionUsers:[],likeUsers:[],},{id:25380,num:9,uid:3693,content:'lmarena 上确实把包括 deepseek v3 等一众远大于它的模型给灭了，我自己稍微测了一下感觉算是二线非思考模型水平了（或者说准一线？除了 grok 3 和 claude sonnet 3.7 之外的非思考模型的水平），不过不知道为什么明明是一个这么小的模型，google ai studio 的推理速度特别特别慢，所以我也没测太多。',ipRegion:'',updatedByUid:0,createdAt:'2025-03-12 21:01:10',updatedAt:'2025-03-14 21:42:24',mentionNum:0,mentionedBy:[],mentionUsers:[],likeUsers:[],},{id:25381,num:10,uid:6502,content:'本地 ollama 没问题，网友 Apple M1 Max 32G ，运行飞快。我自己显卡运行也挺快的。',ipRegion:'',updatedByUid:0,createdAt:'2025-03-12 21:08:52',updatedAt:'2025-03-14 21:42:24',mentionNum:0,mentionedBy:[],mentionUsers:[],likeUsers:[],},{id:25382,num:11,uid:668,content:'4090 能跑吗',ipRegion:'',updatedByUid:0,createdAt:'2025-03-12 21:13:03',updatedAt:'2025-03-14 21:42:24',mentionNum:0,mentionedBy:[],mentionUsers:[],likeUsers:[],},{id:25383,num:12,uid:2915,content:'gpt 4o 都已经这么落魄了么',ipRegion:'',updatedByUid:0,createdAt:'2025-03-12 21:38:25',updatedAt:'2025-03-14 21:42:24',mentionNum:0,mentionedBy:[],mentionUsers:[],likeUsers:[],},{id:25384,num:13,uid:7503,content:'其实，真正的极致小模型，还得看 rwkv ，0.5b 都能很猛',ipRegion:'',updatedByUid:0,createdAt:'2025-03-12 21:39:02',updatedAt:'2025-03-14 21:42:24',mentionNum:0,mentionedBy:[],mentionUsers:[],likeUsers:[],},{id:25385,num:14,uid:5826,content:'多少个 tokens/s ?\u003Cbr\u003E@tool3d',ipRegion:'',updatedByUid:0,createdAt:'2025-03-12 21:39:03',updatedAt:'2025-03-14 21:42:24',mentionNum:0,mentionedBy:[],mentionUsers:[],likeUsers:[],},{id:25386,num:15,uid:4857,content:'开源模型生机勃勃了，好事，deepseek 开的好头。\u003Cbr\u003EQWQ 32B q8 两张显卡 40G 正好够，已经感觉和 deepseek 满血差距很小了，非常好用。\u003Cbr\u003E期待 gemma3 。',ipRegion:'',updatedByUid:0,createdAt:'2025-03-12 21:54:29',updatedAt:'2025-03-14 21:42:24',mentionNum:0,mentionedBy:[],mentionUsers:[],likeUsers:[],},{id:25387,num:16,uid:969,content:'这榜单还行，是个写作榜单，也就是评测 llm 在进行写作创作时人哪个人情味更多些。lmarena 评测更多是答案的亲和性。',ipRegion:'',updatedByUid:0,createdAt:'2025-03-12 21:59:04',updatedAt:'2025-03-14 21:42:24',mentionNum:0,mentionedBy:[],mentionUsers:[],likeUsers:[],},{id:25388,num:17,uid:6502,content:'是有点慢（和同类型的模型对比）。我这里差不多 15 tokens/s ，架构似乎是新的，我看 ollama 上也有人说速度慢，估计需要时间优化。\u003Cbr\u003E\u003Cbr\u003E不过很奇怪的是，官方也很慢。',ipRegion:'',updatedByUid:0,createdAt:'2025-03-12 22:03:39',updatedAt:'2025-03-14 21:42:24',mentionNum:0,mentionedBy:[],mentionUsers:[],likeUsers:[],},{id:25389,num:18,uid:4857,content:'刚用 ollama 测试了一下，12b 模型，效果一般。老是报错，Error: POST predict: Post \u0026#34;http://127.0.0.1:35039/completion\u0026#34;: EOF ，不知道怎么回事，可能是我的环境问题。',ipRegion:'',updatedByUid:0,createdAt:'2025-03-12 22:10:13',updatedAt:'2025-03-14 21:42:24',mentionNum:0,mentionedBy:[19,],mentionUsers:[],likeUsers:[],},{id:25390,num:19,uid:4857,content:'#18 ollama 官网也得是：12B parameter model (128k context window)。我比较好奇这 128K 的上下文窗口是怎么来的。ollama 默认都是 2K ，128K 不爆显存吗？',ipRegion:'',updatedByUid:0,createdAt:'2025-03-12 22:13:27',updatedAt:'2025-03-14 21:42:24',mentionNum:18,mentionedBy:[],mentionUsers:[],likeUsers:[],},],usersMap:new 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ollama ds-r1 32b 的速度，好慢',url:'/d/111c5f086a045c77606a5677465e646a3d316a3e',},{title:'Gemma 3 Online(Free to use)',url:'/d/100f07156a045c77606a5671435d6b6a3f2f6363',},{title:'Google出新模型了，打榜第二只有27b',url:'/d/630851216a045c77606a5671445d606a060d3b61',},{title:'请问我有 3 个 NVIDIA GT 1030(18GB RAM) (总共 80) 如何串接用在 ollama, deepseek?',url:'/d/6219700c6a045c77606a567347596b6a5b290666',},],}
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