2 lines
9.9 KiB
Java
2 lines
9.9 KiB
Java
import{r as b,c as k,C as y,z as r,H as f,Q as d,f as t,A as i,K as F,F as M,D as j,y as L,G as V,B as s}from"./vue-vendor-DNhG1Cve.js";import{au as D,av as K,T as O,aE as G,aw as H}from"./index-X7Y8jykP.js";import Q from"./index-DsixALRt.js";import J from"./index--p9d2PTL.js";import R from"./index-DklMb9Qc.js";import"./emoji-mart-vue-fast-R0uJEDq-.js";import"./UpOutlined-B1UMbtrP.js";const W={name:"AiModelSeniorForm",components:{},props:{modelParams:{type:Object,default:{}},type:{type:String,default:"model"}},emits:["success","register","updateModel"],setup(E,{emit:l}){const m=[{name:"创意",icon:"fxemoji:star",params:{temperature:.8,topP:.9,presencePenalty:.1,frequencyPenalty:.1,maxTokens:null,timeout:60}},{name:"平衡",icon:"noto:balance-scale",params:{temperature:.5,topP:.8,presencePenalty:.2,frequencyPenalty:.3,maxTokens:null,timeout:60}},{name:"精确",icon:"twemoji:direct-hit",params:{temperature:.2,topP:.7,presencePenalty:.5,frequencyPenalty:.5,maxTokens:null,timeout:60}}],e={temperature:"值越大，回复内容越赋有多样性创造性、随机性；设为0根据事实回答，希望得到精准答案应该降低该参数；日常聊天建议0.5-0.8。",topP:"值越小，Ai生成的内容越单调也越容易理解；值越大，Ai回复的词汇围越大，越多样化。",presencePenalty:"值越大，越能够让Ai更好地控制新话题的引入，建议微调或不变。",frequencyPenalty:"值越大，越能够让Ai更好地避免重复之前说过的话，建议微调或不变。",maxTokens:"设置Ai最大回复内容大小，会影响返回结果的长度。普通聊天建议500-800；短文生成建议800-2000；代码生成建议2000-3600；长文生成建议4000左右（或选择长回复模型)",topNumber:"用于筛选与用户问题相似度最高的文本片段。系统同时会根据选用模型上下文窗口大小动态调整分段数量。",similarity:"用于设置文本片段筛选的相似度阅值。",timeout:"等待AI响应的最长时间，单位为秒。"},U=b({min:.1,max:1,step:.1}),_=b({min:.1,max:1,step:.1}),u=b({min:-2,max:2,step:.1}),p=b({min:-2,max:2,step:.1}),x=b({min:1,max:16e3,step:1}),q=b({min:1,max:10,step:1}),c=b({min:.1,max:1,step:.1}),v=b({min:1,step:1,max:3600}),o=b(E.modelParams||{}),P=k({get:()=>o.value.temperature!=null,set:a=>o.value.temperature=a?.7:null}),n=k({get:()=>o.value.topP!=null,set:a=>o.value.topP=a?0:null}),g=k({get:()=>o.value.presencePenalty!=null,set:a=>o.value.presencePenalty=a?0:null}),N=k({get:()=>o.value.frequencyPenalty!=null,set:a=>o.value.frequencyPenalty=a?0:null}),z=k({get:()=>o.value.maxTokens!=null,set:a=>o.value.maxTokens=a?520:null}),A=k({get:()=>o.value.topNumber!=null,set:a=>o.value.topNumber=a?4:null}),S=k({get:()=>o.value.similarity!=null,set:a=>o.value.similarity=a?.74:null}),w=k({get:()=>o.value.timeout!=null,set:a=>o.value.timeout=a?60:null});function C(a){const T=m[a];T&&(o.value=T.params)}function B(){return o.value}function I(a){o.value=a}return{presets:m,onLoadPreset:C,tips:e,temperatureProps:U,topPProps:_,presencePenaltyProps:u,model:o,frequencyPenaltyProps:p,temperatureEnable:P,maxTokensProps:x,emitChange:B,topPEnable:n,presencePenaltyEnable:g,frequencyPenaltyEnable:N,maxTokensEnable:z,topNumberEnable:A,topNumberProps:q,similarityEnable:S,similarityProps:c,setModalParams:I,timeoutEnable:w,timeoutProps:v}}},X={class:"model-params-popover"},Y={key:0,class:"params"},Z={key:1,class:"setting-item"},h={class:"label"},$={key:2,class:"setting-item"},ee={class:"label"},le={key:3,class:"setting-item"},ne={class:"label"},te={key:4,class:"setting-item"},oe={class:"label"},ae={key:5,class:"setting-item"},ie={class:"label"},de={key:6,class:"setting-item"},se={class:"label"},me={key:7,class:"setting-item"},re={class:"label"},ue={key:8,class:"setting-item"},pe={class:"label"};function ye(E,l,m,e,U,_){const u=F("Icon"),p=G,x=H,q=K,c=O,v=Q,o=J,P=R;return 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