[feat] new nai formating/kayra

src/ts/process/templates/getRecomended.ts

@@ -1,6 +1,6 @@
 import { DataBase, setPreset, type botPreset, setDatabase } from "src/ts/storage/database";
 import { get } from "svelte/store";
-import { prebuiltPresets } from "./templates";
+import { prebuiltNAIpresets, prebuiltPresets } from "./templates";
 import { alertConfirm, alertSelect } from "src/ts/alert";
 import { language } from "src/lang";
 
@@ -20,6 +20,17 @@ export async function setRecommended(model: string, ask:'ask'|'force') {
         const pr:botPreset = prebuiltPresets.OAI
         setDatabase(setPreset(db, pr))
     }
+    else if(db.aiModel.startsWith('novelai')){
+        const pr:botPreset = prebuiltPresets.OAI
+        pr.NAISettings = prebuiltNAIpresets
+        pr.temperature = 1.05
+        pr.maxContext = 8000
+        pr.maxResponse = 300
+        pr.mainPrompt = "***\n[ Style: chat ]"
+        pr.jailbreak = ''
+        pr.globalNote = ''
+        setDatabase(setPreset(db, pr))
+    }
     else if(db.aiModel === 'textgen_webui'){
         const sel = parseInt(await alertSelect(["Llama, Alpaca", "Koala", "Vicuna", "WizardLM", "Others"]))
         let pr = prebuiltPresets.ooba
@@ -60,5 +71,5 @@ export async function setRecommended(model: string, ask:'ask'|'force') {
 }
 
 export function recommendedPresetExist(model:string){
-    return model.startsWith('gpt') || model === 'openrouter' || model === 'reverse_proxy' || model === 'textgen_webui'
+    return model.startsWith('gpt') || model === 'openrouter' || model === 'reverse_proxy' || model === 'textgen_webui' || model.startsWith('novelai')
 }

src/ts/process/templates/templates.ts

@@ -1,4 +1,5 @@
 import type { botPreset } from "../../storage/database";
+import type { NAISettings } from "../models/nai";
 
 
 export const prebuiltPresets:{OAI:botPreset,ooba:botPreset} = {
@@ -137,4 +138,20 @@ export const prebuiltPresets:{OAI:botPreset,ooba:botPreset} = {
       "top_k": 140
     }
   }
+}
+
+
+export const prebuiltNAIpresets:NAISettings = {
+  topK: 12,
+  topP: 0.85,
+  topA: 0.1,
+  tailFreeSampling: 0.915,
+  repetitionPenalty: 2.8,
+  repetitionPenaltyRange: 2048,
+  repetitionPenaltySlope: 0.02,
+  repostitionPenaltyPresence: 0,
+  seperator: "",
+  frequencyPenalty: 0.03,
+  presencePenalty: 0,
+  typicalp: 1
 }