diff --git a/zh-Hant/config.json b/zh-Hant/config.json
index 94bc387f..2b33d0cb 100644
--- a/zh-Hant/config.json
+++ b/zh-Hant/config.json
@@ -1,500 +1,624 @@
 {
-    "noInstanceSelected": "未選擇模型實例",
-    "resetToDefault": "重置",
-    "showAdvancedSettings": "顯示進階設定",
-    "showAll": "全部",
-    "basicSettings": "基本",
-    "configSubtitle": "載入或儲存預設值，並試用模型參數覆蓋",
-    "inferenceParameters/title": "預測參數",
-    "inferenceParameters/info": "試用影響預測的參數。",
-    "generalParameters/title": "一般",
-    "samplingParameters/title": "抽樣",
-    "basicTab": "基本",
-    "advancedTab": "進階",
-    "advancedTab/title": "🧪 高級配置",
-    "advancedTab/expandAll": "全部展開",
-    "advancedTab/overridesTitle": "配置覆蓋",
-    "advancedTab/noConfigsText": "您沒有未儲存的變更 - 修改上方值以查看這裡的覆蓋設定。",
-    "loadInstanceFirst": "載入模型以查看可配置參數",
-    "noListedConfigs": "無可配置參數",
-    "generationParameters/info": "試用影響文本生成的基本參數。",
-    "loadParameters/title": "載入參數",
-    "loadParameters/description": "控制模型初始化和載入記憶的設定。",
-    "loadParameters/reload": "重新載入以應用變更",
-    "loadParameters/reload/error": "無法重新載入模型",
-    "discardChanges": "放棄變更",
-    "loadModelToSeeOptions": "載入模型以查看選項",
-    "schematicsError.title": "配置圖示包含以下欄位的錯誤：",
-    "manifestSections": {
-        "structuredOutput/title": "結構化輸出",
-        "speculativeDecoding/title": "預測解碼",
-        "sampling/title": "抽樣",
-        "settings/title": "設定",
-        "toolUse/title": "工具使用",
-        "promptTemplate/title": "提示模板"
+  "noInstanceSelected": "未選擇模型執行個體",
+  "resetToDefault": "重設",
+  "showAdvancedSettings": "顯示進階設定",
+  "showAll": "全部",
+  "basicSettings": "基本設定",
+  "configSubtitle": "載入或儲存預設值，並實驗模型參數覆寫",
+  "inferenceParameters/title": "預測參數",
+  "inferenceParameters/info": "實驗影響預測的參數。",
+  "generalParameters/title": "一般",
+  "samplingParameters/title": "取樣",
+  "basicTab": "基本",
+  "advancedTab": "進階",
+  "advancedTab/title": "🧪 進階設定",
+  "advancedTab/expandAll": "展開全部",
+  "advancedTab/overridesTitle": "設定覆寫",
+  "advancedTab/noConfigsText": "您沒有未儲存的變更 - 編輯上方的值以在此處查看覆寫。",
+  "loadInstanceFirst": "載入模型以檢視可配置參數",
+  "noListedConfigs": "沒有可配置的參數",
+  "generationParameters/info": "實驗影響文字產生的基本參數。",
+  "loadParameters/title": "載入參數",
+  "loadParameters/description": "控制模型初始化和載入到記憶體中的設定。",
+  "loadParameters/reload": "重新載入以套用變更",
+  "loadParameters/reload/error": "模型重新載入失敗",
+  "discardChanges": "捨棄變更",
+  "loadModelToSeeOptions": "載入模型以查看選項",
+  "schematicsError.title": "設定結構在以下欄位中包含錯誤：",
+  "manifestSections": {
+    "structuredOutput/title": "結構化輸出",
+    "speculativeDecoding/title": "推測式解碼",
+    "sampling/title": "取樣",
+    "settings/title": "設定",
+    "toolUse/title": "工具使用",
+    "promptTemplate/title": "提示範本",
+    "customFields/title": "自訂欄位"
+  },
+
+  "llm.prediction.systemPrompt/title": "系統提示詞",
+  "llm.prediction.systemPrompt/description": "使用此欄位為模型提供背景指示，例如規則集、限制或一般要求。",
+  "llm.prediction.systemPrompt/subTitle": "AI 指導方針",
+  "llm.prediction.systemPrompt/openEditor": "編輯器",
+  "llm.prediction.systemPrompt/closeEditor": "關閉編輯器",
+  "llm.prediction.systemPrompt/openedEditor": "在編輯器中開啟...",
+  "llm.prediction.systemPrompt/edit": "編輯系統提示詞...",
+  "llm.prediction.systemPrompt/addInstructionsWithMore": "新增指示...",
+  "llm.prediction.systemPrompt/addInstructions": "新增指示",
+  "llm.prediction.temperature/title": "溫度",
+  "llm.prediction.temperature/subTitle": "引入多少隨機性。 0 將每次產生相同的結果，而較高的值將增加創造力和變異。",
+  "llm.prediction.temperature/info": "來自 llama.cpp 的說明文件：「預設值為 <{{dynamicValue}}>, 這在隨機性和確定性之間取得了平衡。極端情況下，溫度為 0 時將始終選擇最有可能的下一個 token，導致每次執行時產生相同的輸出」",
+  "llm.prediction.llama.sampling/title": "取樣",
+  "llm.prediction.topKSampling/title": "Top K 取樣",
+  "llm.prediction.topKSampling/subTitle": "將下一個 token 限制為最有可能的 top-k 個 token 中的其中之一。作用類似於溫度。",
+  "llm.prediction.topKSampling/info": "來自 llama.cpp 的說明文件：\n\nTop-k 取樣是一種文字產生方法，僅從模型預測的最可能的前 k 個 token 中選擇下一個 token。\n\n它有助於降低生成低概率或無意義的 token 的風險，但也可能會限制輸出的多樣性。\n\n較高的 top-k 值（例如 100）將考慮更多 token 並產生更多樣化的文字，而較低的 top-k 值（例如 10）將專注於最可能的 token 並生成更保守的文字。\n\n• 預設值為 <{{dynamicValue}}>",
+  "llm.prediction.llama.cpuThreads/title": "CPU 執行緒",
+  "llm.prediction.llama.cpuThreads/subTitle": "在推論期間使用的 CPU 執行緒數量",
+  "llm.prediction.llama.cpuThreads/info": "計算期間使用的執行緒數量。增加執行緒數量並不總是與更好的效能相關。預設值為 <{{dynamicValue}}>。",
+  "llm.prediction.maxPredictedTokens/title": "限制回應長度",
+  "llm.prediction.maxPredictedTokens/subTitle": "可選地限制 AI 回應的長度",
+  "llm.prediction.maxPredictedTokens/info": "控制聊天機器人回應的最大長度。開啟以設定回應最大長度的限制，或關閉以讓聊天機器人決定何時停止。",
+  "llm.prediction.maxPredictedTokens/inputLabel": "最大回應長度（token）",
+  "llm.prediction.maxPredictedTokens/wordEstimate": "約 {{maxWords}} 個單字",
+  "llm.prediction.repeatPenalty/title": "重複懲罰",
+  "llm.prediction.repeatPenalty/subTitle": "如何減少重複相同的 token",
+  "llm.prediction.repeatPenalty/info": "來自 llama.cpp 的說明文件：「有助於防止模型產生重複或單調的文字。\n\n較高的值（例如 1.5）將更強烈地懲罰重複，而較低的值（例如 0.9）則會更寬容。」• 預設值為 <{{dynamicValue}}>",
+  "llm.prediction.minPSampling/title": "Min P 取樣",
+  "llm.prediction.minPSampling/subTitle": "用於選擇輸出 token 的最小基於概率",
+  "llm.prediction.minPSampling/info": "來自 llama.cpp 的說明文件：\n\n要考慮的 token 的最小概率，與最可能 token 的概率相對。必須在 [0, 1] 範圍內。\n\n• 預設值為 <{{dynamicValue}}>",
+  "llm.prediction.topPSampling/title": "Top P 取樣",
+  "llm.prediction.topPSampling/subTitle": "可能下一個 token 的最小累積概率。作用類似於溫度。",
+  "llm.prediction.topPSampling/info": "來自 llama.cpp 的說明文件：\n\nTop-p 取樣，也稱為 nucleus sampling，是另一種文字產生方法，它從具有至少 p 個累積概率的 token 子集中的下一個 token 進行選擇。\n\n此方法通過考慮 token 的概率和要採樣的 token 數量，在多樣性和質量之間取得平衡。\n\ntop-p 值越高（例如 0.95），生成的文字就越多元化，而 top-p 值較低（例如 0.5）則會生成更專注、更保守的文字。必須在 (0, 1] 範圍內。\n\n• 預設值為 <{{dynamicValue}}>",
+  "llm.prediction.stopStrings/title": "停止字串",
+  "llm.prediction.stopStrings/subTitle": "當遇到這些字串時，應停止模型產生更多 token 的字串",
+  "llm.prediction.stopStrings/info": "當遇到這些特定的字串時，將會停止模型產生更多 token",
+  "llm.prediction.stopStrings/placeholder": "輸入一個字串並按下 ⏎",
+  "llm.prediction.contextOverflowPolicy/title": "上下文溢出",
+  "llm.prediction.contextOverflowPolicy/subTitle": "當對話變得太大，模型無法處理時，模型的行為方式",
+  "llm.prediction.contextOverflowPolicy/info": "當對話超出模型工作記憶體（「上下文」）大小時，決定要如何處理",
+  "llm.prediction.llama.frequencyPenalty/title": "頻率懲罰",
+  "llm.prediction.llama.presencePenalty/title": "存在懲罰",
+  "llm.prediction.llama.tailFreeSampling/title": "無尾取樣",
+  "llm.prediction.llama.locallyTypicalSampling/title": "局部典型取樣",
+  "llm.prediction.llama.xtcProbability/title": "XTC 取樣概率",
+  "llm.prediction.llama.xtcProbability/subTitle": "XTC（排除頂級選擇）採樣器將以每個生成的 token 的此概率激活。XTC 採樣可以增強創造力並減少陳詞濫調。",
+  "llm.prediction.llama.xtcProbability/info": "XTC（排除頂級選擇）採樣器將以每個生成的 token 的此概率激活。XTC 採樣通常可以增強創造力並減少陳詞濫調。",
+  "llm.prediction.llama.xtcThreshold/title": "XTC 取樣閾值",
+  "llm.prediction.llama.xtcThreshold/subTitle": "XTC（排除頂級選擇）閾值。以 `xtc-probability` 的機率，搜尋概率介於 `xtc-threshold` 和 0.5 之間的 token，並移除所有這些 token，除了最不可能的那個。",
+  "llm.prediction.llama.xtcThreshold/info": "XTC（排除頂級選擇）閾值。以 `xtc-probability` 的機率，搜尋概率介於 `xtc-threshold` 和 0.5 之間的 token，並移除所有這些 token，除了最不可能的那個。",
+  "llm.prediction.mlx.topKSampling/title": "Top K 取樣",
+  "llm.prediction.mlx.topKSampling/subTitle": "將下一個 token 限制在最有可能的頂 K 個 token 中。作用類似於溫度。",
+  "llm.prediction.mlx.topKSampling/info": "將下一個 token 限制在最有可能的頂 K 個 token 中。作用類似於溫度。",
+  "llm.prediction.onnx.topKSampling/title": "Top K 取樣",
+  "llm.prediction.onnx.topKSampling/subTitle": "將下一個 token 限制在最有可能的頂 K 個 token 中。作用類似於溫度。",
+  "llm.prediction.onnx.topKSampling/info": "來自 ONNX 文件：\n\n保留用於頂 K 過濾器的最高概率詞彙表 token 的數量。\n\n• 此過濾器預設關閉。",
+  "llm.prediction.onnx.repeatPenalty/title": "重複懲罰",
+  "llm.prediction.onnx.repeatPenalty/subTitle": "如何減少重複相同的 token",
+  "llm.prediction.onnx.repeatPenalty/info": "較高的值會阻止模型重複自身。",
+  "llm.prediction.onnx.topPSampling/title": "Top P 取樣",
+  "llm.prediction.onnx.topPSampling/subTitle": "可能下一個 token 的最小累積概率。作用類似於溫度。",
+  "llm.prediction.onnx.topPSampling/info": "來自 ONNX 文件：\n\n僅保留概率加總到 TopP 或更高的最有可能的 token 以進行生成。\n\n• 此過濾器預設關閉。",
+  "llm.prediction.seed/title": "種子",
+  "llm.prediction.structured/title": "結構化輸出",
+  "llm.prediction.structured/info": "結構化輸出",
+  "llm.prediction.structured/description": "進階：您可以提供 [JSON Schema](https://json-schema.org/learn/miscellaneous-examples) 以強制模型產生特定的輸出格式。閱讀 [文件](https://lmstudio.ai/docs/advanced/structured-output) 以了解更多資訊",
+  "llm.prediction.tools/title": "工具使用",
+  "llm.prediction.tools/description": "進階：您可以提供符合 JSON 的工具清單，讓模型請求呼叫。閱讀 [文件](https://lmstudio.ai/docs/advanced/tool-use) 以了解更多資訊",
+  "llm.prediction.tools/serverPageDescriptionAddon": "使用伺服器 API 時，將此內容作為 `tools` 傳遞至要求主體",
+  "llm.prediction.promptTemplate/title": "提示範本",
+  "llm.prediction.promptTemplate/subTitle": "聊天中訊息的格式，發送給模型。 更改此設定可能會導致意外行為 - 請確保您知道自己在做什麼！",
+  "llm.load.promptTemplate/title": "聊天範本",
+  "llm.load.promptTemplate/subTitle": "引擎通訊協定用於聊天、工具、推理與多模態格式的範本。更改此設定需要重新載入模型。",
+  "llm.prediction.speculativeDecoding.numDraftTokensExact/title": "要產生的草稿 Token 數量",
+  "llm.prediction.speculativeDecoding.numDraftTokensExact/subTitle": "每個主要模型 Token 要使用草稿模型產生的 Token 數量。 在計算與獎勵之間找到最佳平衡點。",
+  "llm.prediction.speculativeDecoding.minContinueDraftingProbability/title": "草稿概率截止值",
+  "llm.prediction.speculativeDecoding.minContinueDraftingProbability/subTitle": "在 Token 的概率降至此閾值以下之前繼續草稿。 較高的值通常意味著較低的風險，較低的獎勵。",
+  "llm.prediction.speculativeDecoding.minDraftLengthToConsider/title": "最小草稿大小",
+  "llm.prediction.speculativeDecoding.minDraftLengthToConsider/subTitle": "小於此值的草稿將由主要模型忽略。 較高的值通常意味著較低的風險，較低的獎勵。",
+  "llm.prediction.speculativeDecoding.maxTokensToDraft/title": "最大草稿大小",
+  "llm.prediction.speculativeDecoding.maxTokensToDraft/subTitle": "允許在草稿中的 Token 最大數量。 如果所有 Token 的概率都 > 截止值，則為上限。 較低的值通常意味著較低的風險，較低的獎勵。",
+  "llm.prediction.speculativeDecoding.draftModel/title": "草稿模型",
+  "llm.prediction.reasoning.parsing/title": "推理區段解析",
+  "llm.prediction.reasoning.parsing/subTitle": "如何解析模型輸出中的推理區段。",
+
+  "llm.load.mainGpu/title": "主要 GPU",
+  "llm.load.mainGpu/subTitle": "優先用於模型計算的 GPU",
+  "llm.load.mainGpu/placeholder": "選擇主要 GPU...",
+  "llm.load.splitStrategy/title": "分割策略",
+  "llm.load.splitStrategy/subTitle": "如何將模型計算分散到多個 GPU 上",
+  "llm.load.splitStrategy/placeholder": "選擇分割策略...",
+  "llm.load.offloadKVCacheToGpu/title": "將 KV 緩存卸載到 GPU 記憶體",
+  "llm.load.offloadKVCacheToGpu/subTitle": "將 KV 緩存卸載到 GPU 記憶體。 可以提高效能，但需要更多 GPU 記憶體。",
+  "llm.load.numParallelSessions/title": "並行預測數量上限",
+  "llm.load.numParallelSessions/subTitle": "模型在任何時刻可同時執行的預測數量上限。並行時各個預測的速度可能降低，但每個預測會更快啟動，整體吞吐量也更高",
+  "llm.load.useUnifiedKvCache/title": "統一 KV 快取",
+  "llm.load.useUnifiedKvCache/subTitle": "控制並行預測是否共用單一 KV 快取，可節省記憶體。停用此功能可確保每個預測都能使用完整的上下文長度，缺點是會佔用更多記憶體",
+  "load.gpuStrictVramCap/title": "限制模型卸載到專用 GPU 記憶體",
+  "load.gpuStrictVramCap.customSubTitleOff": "關閉：如果專用 GPU 記憶體已滿，允許模型權重卸載到共享記憶體。",
+  "load.gpuStrictVramCap.customSubTitleOn": "開啟：系統將限制模型權重的卸載到專用 GPU 記憶體和 RAM。 上下文仍可以使用共享記憶體。",
+  "load.gpuStrictVramCap.customGpuOffloadWarning": "模型卸載限制在專用 GPU 記憶體中。 實際卸載的層數可能不同。",
+  "load.allGpusDisabledWarning": "所有 GPU 目前都已停用。 啟用至少一個以進行卸載。",
+
+  "llm.load.contextLength/title": "上下文長度",
+  "llm.load.contextLength/subTitle": "模型在單一提示中可以關注的最大 Token 數量。 如需更多管理此項的方法，請參閱「推論參數」下的「對話超流」選項。",
+  "llm.load.contextLength/info": "指定模型一次可以考慮的最大 Token 數量，影響其在處理期間保留的上下文量。",
+  "llm.load.contextLength/warning": "為上下文長度設定較高的值可能會顯著影響記憶體使用量。",
+  "llm.load.seed/title": "種子",
+  "llm.load.seed/subTitle": "用於文本生成中隨機數產生器的種子。 -1 為隨機。",
+  "llm.load.seed/info": "隨機種子：設定隨機數生成的種子，以確保可重複的結果。",
+  "llm.load.numCpuExpertLayersRatio/title": "強制將 MoE 權重卸載到 CPU 的層數",
+  "llm.load.numCpuExpertLayersRatio/subTitle": "強制將專家卸載到 CPU 的層數。可節省 VRAM 且可能比部分 GPU 卸載更快。若模型可完全放入 VRAM 則不建議啟用。",
+  "llm.load.numCpuExpertLayersRatio/info": "指定要強制將專家卸載到 CPU 的層數。讓注意力層保留在 GPU 上，可在保持推論速度的同時節省 VRAM。",
+
+  "llm.load.llama.evalBatchSize/title": "評估批次大小",
+  "llm.load.llama.evalBatchSize/subTitle": "一次處理輸入 Token 的數量。 增加此值可以提高效能，但會增加記憶體使用量。",
+  "llm.load.llama.evalBatchSize/info": "設定在評估期間一起處理的範例數量，影響速度和記憶體使用量。",
+  "llm.load.llama.physicalBatchSize/subTitle": "單一批次可處理的提示詞 token 數量上限。較大的值可能提升效能，但會佔用更多記憶體",
+  "llm.load.llama.ropeFrequencyBase/title": "RoPE 頻率基數",
+  "llm.load.llama.ropeFrequencyBase/subTitle": "旋轉位置嵌入 (RoPE) 的自訂基數頻率。 增加此值可能有助於在高上下文長度下提高效能。",
+  "llm.load.llama.ropeFrequencyBase/info": "[進階] 調整旋轉位置編碼的基數頻率，影響位置資訊的嵌入方式。",
+  "llm.load.llama.ropeFrequencyScale/title": "RoPE 頻率比例",
+  "llm.load.llama.ropeFrequencyScale/subTitle": "使用此係數縮放上下文長度，以透過 RoPE 擴展有效上下文。",
+  "llm.load.llama.ropeFrequencyScale/info": "[進階] 修改旋轉位置編碼的頻率縮放，以控制位置編碼粒度。",
+  "llm.load.llama.acceleration.offloadRatio/title": "GPU 卸載",
+  "llm.load.llama.acceleration.offloadRatio/subTitle": "用於 GPU 加速的模型離散層數。",
+  "llm.load.llama.acceleration.offloadRatio/info": "設定要卸載到 GPU 的圖層數量。",
+  "llm.load.llama.flashAttention/title": "Flash Attention（高速注意力機制）",
+  "llm.load.llama.flashAttention/subTitle": "在某些模型上減少記憶體使用量和生成時間。",
+  "llm.load.llama.flashAttention/info": "加速注意力機制，實現更快速、更高效的處理。",
+  "llm.load.numExperts/title": "專家數量",
+  "llm.load.numExperts/subTitle": "模型中使用的專家數量。",
+  "llm.load.numExperts/info": "模型中使用的專家數量。",
+  "llm.load.llama.keepModelInMemory/title": "保留模型在記憶體中",
+  "llm.load.llama.keepModelInMemory/subTitle": "即使已卸載到 GPU，也保留系統記憶體用於模型。可提高效能，但需要更多系統 RAM。",
+  "llm.load.llama.keepModelInMemory/info": "防止將模型交換到磁碟，確保更快的存取速度，但會增加 RAM 使用量。",
+  "llm.load.llama.useFp16ForKVCache/title": "對 KV 快取使用 FP16",
+  "llm.load.llama.useFp16ForKVCache/info": "透過儲存快取於半精度 (FP16) 中，減少記憶體使用量。",
+  "llm.load.llama.tryMmap/title": "嘗試 mmap()",
+  "llm.load.llama.tryMmap/subTitle": "可改善模型載入時間。停用此功能可能在模型大於可用系統 RAM 時提高效能。",
+  "llm.load.llama.tryMmap/info": "直接從磁碟將模型檔案載入到記憶體中。",
+  "llm.load.llama.cpuThreadPoolSize/title": "CPU 執行緒池大小",
+  "llm.load.llama.cpuThreadPoolSize/subTitle": "為用於模型計算的執行緒池分配的 CPU 執行緒數量。",
+  "llm.load.llama.cpuThreadPoolSize/info": "為用於模型計算的執行緒池分配的 CPU 執行緒數量。增加執行緒數量並不總是與更好的效能相關。預設值為 <{{dynamicValue}}>。",
+  "llm.load.llama.kCacheQuantizationType/title": "K 快取量化類型",
+  "llm.load.llama.kCacheQuantizationType/subTitle": "較低的值可減少記憶體使用量，但可能降低品質。效果因模型而異。",
+  "llm.load.llama.vCacheQuantizationType/title": "V 快取量化類型",
+  "llm.load.llama.vCacheQuantizationType/subTitle": "較低的值可減少記憶體使用量，但可能降低品質。效果因模型而異。",
+  "llm.load.llama.vCacheQuantizationType/turnedOnWarning": "⚠️ 如果未啟用 Flash Attention，則必須停用此值。",
+  "llm.load.llama.vCacheQuantizationType/disabledMessage": "只有在啟用 Flash Attention 時才能開啟。",
+  "llm.load.llama.vCacheQuantizationType/invalidF32MetalState": "⚠️ 使用 F32 時，必須停用 flash attention。",
+  "llm.load.mlx.kvCacheBits/title": "KV 快取量化",
+  "llm.load.mlx.kvCacheBits/subTitle": "KV 快取應量化的位元數量。",
+  "llm.load.mlx.kvCacheBits/info": "KV 快取應量化的位元數量。",
+  "llm.load.mlx.kvCacheBits/turnedOnWarning": "使用 KV 快取量化時，會忽略上下文長度設定。",
+  "llm.load.mlx.kvCacheGroupSize/title": "KV 快取量化：群組大小",
+  "llm.load.mlx.kvCacheGroupSize/subTitle": "在 KV 快取的量化操作期間使用的群組大小。較大的群組大小可減少記憶體使用量，但可能降低品質。",
+  "llm.load.mlx.kvCacheGroupSize/info": "KV 快取應量化的位元數量。",
+  "llm.load.mlx.kvCacheQuantizationStart/title": "KV 快取量化：當 ctx 跨越此長度時開始量化",
+  "llm.load.mlx.kvCacheQuantizationStart/subTitle": "開始量化 KV 快取的上下文長度閾值。",
+  "llm.load.mlx.kvCacheQuantizationStart/info": "開始量化 KV 快取的上下文長度閾值。",
+  "llm.load.mlx.kvCacheQuantization/title": "KV 快取量化",
+  "llm.load.mlx.kvCacheQuantization/subTitle": "量化模型的 KV 快取。這可能會導致更快的生成速度和更低的記憶體佔用空間，但會以犧牲模型輸出的品質為代價。",
+  "llm.load.mlx.kvCacheQuantization/bits/title": "KV 快取量化的位元",
+  "llm.load.mlx.kvCacheQuantization/bits/tooltip": "要量化 KV 快取的位元數量。",
+  "llm.load.mlx.kvCacheQuantization/bits/bits": "位元",
+  "llm.load.mlx.kvCacheQuantization/groupSize/title": "群組大小策略",
+  "llm.load.mlx.kvCacheQuantization/groupSize/accuracy": "精確度",
+  "llm.load.mlx.kvCacheQuantization/groupSize/balanced": "平衡",
+  "llm.load.mlx.kvCacheQuantization/groupSize/speedy": "快速",
+  "llm.load.mlx.kvCacheQuantization/groupSize/tooltip": "進階：量化的 'matmul' 群組大小配置\n\n• 精確度 = 群組大小 32\n• 平衡 = 群組大小 64\n• 快速 = 群組大小 128\n",
+  "llm.load.mlx.kvCacheQuantization/quantizedStart/title": "當 ctx 達到此長度時開始量化",
+  "llm.load.mlx.kvCacheQuantization/quantizedStart/tooltip": "當上下文達到此數量的 token 時，\n開始量化 KV 快取。",
+
+  "embedding.load.contextLength/title": "上下文長度",
+  "embedding.load.contextLength/subTitle": "模型在一個提示中可以關注的最大 token 數量。請參閱「推論參數」下的「對話溢出」選項，以瞭解更多管理此項的方法。",
+  "embedding.load.contextLength/info": "指定模型一次可以考慮的最大 token 數量，影響其在處理期間保留的上下文量。",
+  "embedding.load.llama.ropeFrequencyBase/title": "RoPE 頻率基底",
+  "embedding.load.llama.ropeFrequencyBase/subTitle": "旋轉位置嵌入 (RoPE) 的自訂基底頻率。增加此值可能可在高上下文長度下實現更好的效能。",
+  "embedding.load.llama.ropeFrequencyBase/info": "[進階] 調整旋轉位置編碼的基底頻率，影響如何嵌入位置資訊。",
+  "embedding.load.llama.evalBatchSize/title": "評估批次大小",
+  "embedding.load.llama.evalBatchSize/subTitle": "一次處理的輸入 token 數量。增加此值可在效能和記憶體使用量之間取得平衡。",
+  "embedding.load.llama.evalBatchSize/info": "設定在評估期間一起處理的 token 數量。",
+  "embedding.load.llama.ropeFrequencyScale/title": "RoPE 頻率比例",
+  "embedding.load.llama.ropeFrequencyScale/subTitle": "上下文長度會根據此係數進行縮放，以使用 RoPE 擴展有效上下文。",
+  "embedding.load.llama.ropeFrequencyScale/info": "[進階] 修改旋轉位置編碼的頻率比例，以控制位置編碼粒度。",
+  "embedding.load.llama.acceleration.offloadRatio/title": "GPU 卸載",
+  "embedding.load.llama.acceleration.offloadRatio/subTitle": "用於 GPU 加速的 GPU 上計算的離散模型層數量。",
+  "embedding.load.llama.acceleration.offloadRatio/info": "設定要卸載到 GPU 的層數。",
+  "embedding.load.llama.keepModelInMemory/title": "保留模型在記憶體中",
+  "embedding.load.llama.keepModelInMemory/subTitle": "即使已卸載到 GPU，也要為模型保留系統記憶體。可提高效能，但需要更多系統 RAM。",
+  "embedding.load.llama.keepModelInMemory/info": "防止模型被交換到磁碟，確保更快的存取速度，但會增加 RAM 使用量。",
+  "embedding.load.llama.tryMmap/title": "嘗試 mmap()",
+  "embedding.load.llama.tryMmap/subTitle": "可改善模型的載入時間。停用此功能可能在模型大於可用系統 RAM 時提高效能。",
+  "embedding.load.llama.tryMmap/info": "直接從磁碟將模型檔案載入到記憶體中。",
+  "embedding.load.seed/title": "種子",
+  "embedding.load.seed/subTitle": "用於文字生成的隨機數生成器的種子。-1 為隨機種子",
+
+  "embedding.load.seed/info": "隨機種子：設定隨機數生成器的種子，以確保可重複的結果。",
+
+  "presetTooltip": {
+    "included/title": "預設值",
+    "included/description": "將應用下列欄位",
+    "included/empty": "此上下文環境中沒有任何預設值的欄位適用。",
+    "included/conflict": "您會被要求選擇是否要套用此值",
+    "separateLoad/title": "載入時設定",
+    "separateLoad/description.1": "這個預設值也包含下列載入時的配置。載入時的配置是模型範圍內的，需要重新載入模型才能生效。按住",
+    "separateLoad/description.2": "以套用至",
+    "separateLoad/description.3": "。",
+    "excluded/title": "可能不適用",
+    "excluded/description": "下列欄位包含在預設值中，但目前環境下不適用。",
+    "legacy/title": "舊版預設值",
+    "legacy/description": "這個預設值是舊版的預設值。它包含以下欄位，這些欄位現在已自動處理或不再適用。",
+    "button/publish": "發布到 Hub",
+    "button/pushUpdate": "將變更推送到 Hub",
+    "button/noChangesToPush": "沒有要推送的變更",
+    "button/export": "匯出",
+    "hubLabel": "來自 Hub 的預設值，作者：{{user}}",
+    "ownHubLabel": "從 Hub 匯出的預設值"
+  },
+
+  "customInputs": {
+    "string": {
+      "emptyParagraph": "<空的>"
     },
-    "llm.prediction.systemPrompt/title": "系統提示",
-    "llm.prediction.systemPrompt/description": "請在這個欄位提供背景說明給模型，例如一組規則、限制或一般要求。",
-    "llm.prediction.systemPrompt/subTitle": "人工智能的指導原則",
-    "llm.prediction.temperature/title": "溫度",
-    "llm.prediction.temperature/subTitle": "要引入多少隨機性。0會每次產生相同結果，而較高的值會增加創造性與變異性",
-    "llm.prediction.temperature/info": "從 llama.cpp 助手文件說明：「預設值為 <{{dynamicValue}}>，在隨機性與確定性之間取得平衡。在極端情況下，溫度為 0 時會總是選擇最可能的下個 token，導致每次執行的結果都相同」",
-    "llm.prediction.llama.sampling/title": "取樣",
-    "llm.prediction.topKSampling/title": "Top K 取樣",
-    "llm.prediction.topKSampling/subTitle": "限制下個 token 只在前 k 個最可能的 tokens 中選擇。效果類似於溫度參數",
-    "llm.prediction.topKSampling/info": "9.，來自llama.cpp幫助文件：\n8.，\n7. Top-k 搜尋是文本生成的技術，會從模型預測的最可能 top k 個標記中選擇下個標記。\n6.，\n5. 有助於降低生成低機率或不合邏輯的標記的風險，但會限制輸出的樣本多樣性。\n4.，\n3. Top-k 的值越高（例如 100），考慮的標記越多，產生的文本越多元；值越低（例如 10），會聚焦最可能的標記，生成更保守的文本。\n2.，\n1. • 預設值為 <{{dynamicValue}}>",
-    "llm.prediction.llama.cpuThreads/title": "CPU線數",
-    "llm.prediction.llama.cpuThreads/subTitle": "推論期間使用的CPU線數",
-    "llm.prediction.llama.cpuThreads/info": "計算期間使用的線數。增加線數不 всегда 會提升效能。默認值為 <{{dynamicValue}}>.",
-    "llm.prediction.maxPredictedTokens/title": "限制回應長度",
-    "llm.prediction.maxPredictedTokens/subTitle": "可選擇限制AI的回應長度",
-    "llm.prediction.maxPredictedTokens/info": "控制聊天機器人的回應最大長度。啟用後設定回應長度限制，關閉則由聊天機器人決定停止時機。",
-    "llm.prediction.maxPredictedTokens/inputLabel": "最大回應長度（記憶體元）",
-    "llm.prediction.maxPredictedTokens/wordEstimate": "約 {{maxWords}} 個字",
-    "llm.prediction.repeatPenalty/title": "重複懲罰",
-    "llm.prediction.repeatPenalty/subTitle": "不應重複相同記憶體元的程度",
-    "llm.prediction.repeatPenalty/info": "從 llama.cpp 資料說明：「幫助防止模型生成重複或單調的文本。」\n\n較高的值（例如 1.5）會對重複強烈懲罰，較低的值（例如 0.9）則較寬鬆。• 默認值為 <{{dynamicValue}}>",
-    "llm.prediction.minPSampling/title": "最小 P採樣",
-    "llm.prediction.minPSampling/subTitle": "令牌被選為輸出的最低基礎機率",
-    "llm.prediction.minPSampling/info": "從 llama.cpp 資料說明：\n\n相對於最可能令牌的機率，令牌被考慮的最低機率。必須在 [0, 1] 內。\n\n• 默認值為 <{{dynamicValue}}>",
-    "llm.prediction.topPSampling/title": "Top P採樣",
-    "llm.prediction.topPSampling/subTitle": "可能的下一個令牌的最小累計機率。作用類似溫度",
-    "llm.prediction.topPSampling/info": "9.，來自llama.cpp幫助文件：\n8.，\n7.，Top-p抽樣，也稱為核心抽樣，是另一種文本生成方法，會從總概率至少為p的token子集中小概率選擇下一個token。\n6.，\n5.，此方法透過考量token概率與抽取token數量，在多樣性與品質之間取得平衡。\n4.，\n3.，Top-p值越高（例如0.95），生成的文本越多元；值越低（例如0.5），則會產生更聚焦且保守的文本。必須在(0, 1]之間。\n2.，\n1.，• 預設值為<{{dynamicValue}}>",
-    "llm.prediction.stopStrings/title": "停止字符串",
-    "llm.prediction.stopStrings/subTitle": "需要讓模型停止生成更多標點的字符串",
-    "llm.prediction.stopStrings/info": "當遇到特定字符串時，應讓模型停止生成更多標點",
-    "llm.prediction.stopStrings/placeholder": "輸入一個字符串並按下 Enter 鍵",
-    "llm.prediction.contextOverflowPolicy/title": "上下文溢出",
-    "llm.prediction.contextOverflowPolicy/subTitle": "當對話內容超出模型處理能力時，模型應採取的行爲",
-    "llm.prediction.contextOverflowPolicy/info": "設定當對話長度超出模型工作記憶範圍（'上下文'）時的處理方式",
-    "llm.prediction.llama.frequencyPenalty/title": "頻率懲罰",
-    "llm.prediction.llama.presencePenalty/title": "存在懲罰",
-    "llm.prediction.llama.tailFreeSampling/title": "尾部無效採樣",
-    "llm.prediction.llama.locallyTypicalSampling/title": "局部典型採樣",
-    "llm.prediction.llama.xtcProbability/title": "XTC採樣概率",
-    "llm.prediction.llama.xtcProbability/subTitle": "XTC（排除最優選）採樣器在每個生成的_token_時，只會在特定概率下啟動。XTC採樣能提升創造力，並減少陳詞濫調",
-    "llm.prediction.llama.xtcProbability/info": "XTC（排除最優選）採樣器在每個生成的_token_時，只會在特定概率下啟動。XTC採樣通常能提升創造力，並減少陳詞濫調",
-    "llm.prediction.llama.xtcThreshold/title": "XTC採樣門檻",
-    "llm.prediction.llama.xtcThreshold/subTitle": "XTC（排除最優選）門檻。在`xtc-probability`的機率下，搜尋概率在`xtc-threshold`與0.5之間的_token_，並移除除了最不可能的那個外的所有這種_token_",
-    "llm.prediction.llama.xtcThreshold/info": "XTC（排除最佳選擇）閾值。當有 `xtc-probability` 機率時，搜尋概率在 `xtc-threshold` 與 0.5 之間的 token，並只保留最不可能的那個 token",
-    "llm.prediction.mlx.topKSampling/title": "第2. 頂部K抽樣",
-    "llm.prediction.mlx.topKSampling/subTitle": "限制下個標記只能是前k個最可能的標記中的一種。類似於溫度參數",
-    "llm.prediction.mlx.topKSampling/info": "限制下個標記只能是前k個最可能的標記中的一種。類似於溫度參數",
-    "llm.prediction.onnx.topKSampling/title": "Top K 抽樣",
-    "llm.prediction.onnx.topKSampling/subTitle": "限制下個標記只能是前k個最可能的標記中的一種。類似於溫度參數",
-    "llm.prediction.onnx.topKSampling/info": "來自ONNX文檔：\n\n保留給Top K過濾的最高概率詞彙標記數\n\n• 此過濾器預設為關閉",
-    "llm.prediction.onnx.repeatPenalty/title": "重複懲罰係數",
-    "llm.prediction.onnx.repeatPenalty/subTitle": "多少程度地 discourages 模型重複相同標記",
-    "llm.prediction.onnx.repeatPenalty/info": "數值越高，會減少模型重複自身",
-    "llm.prediction.onnx.topPSampling/title": "Top P 抽樣",
-    "llm.prediction.onnx.topPSampling/subTitle": "可能的下個標記的最小累計概率。類似於溫度參數",
-    "llm.prediction.onnx.topPSampling/info": "來自ONNX文檔：\n\n只保留概率總和達到TopP或以上的最可能標記\n\n• 此過濾器預設為關閉",
-    "llm.prediction.seed/title": "種子",
-    "llm.prediction.structured/title": "結構化輸出",
-    "llm.prediction.structured/info": "結構化輸出",
-    "llm.prediction.structured/description": "進階：您可提供[JSON Schema](https://json-schema.org/learn/miscellaneous-examples)來強制模型遵循特定輸出格式。閱讀[文檔](https://lmstudio.ai/docs/advanced/structured-output)瞭解更多",
-    "llm.prediction.tools/title": "工具使用",
-    "llm.prediction.tools/description": "進階：您可提供符合JSON格式的工具清單，讓模型請求調用。閱讀[文檔](https://lmstudio.ai/docs/advanced/tool-use)瞭解更多",
-    "llm.prediction.tools/serverPageDescriptionAddon": "在使用伺服器API時，以`tools`標籤傳遞此資料",
-    "llm.prediction.promptTemplate/title": "提示模板",
-    "llm.prediction.promptTemplate/subTitle": "聊天訊息傳達給模型的格式。更改此設定可能導致不預期的行為，請確認您知道在做什麼！",
-    "llm.prediction.speculativeDecoding.numDraftTokensExact/title": "草稿生成標記數",
-    "llm.prediction.speculativeDecoding.numDraftTokensExact/subTitle": "每個主模型標記生成草稿標記的數量。找到計算與獎勵的平衡點",
-    "llm.prediction.speculativeDecoding.minContinueDraftingProbability/title": "草稿概率閥值",
-    "llm.prediction.speculativeDecoding.minContinueDraftingProbability/subTitle": "繼續草稿直到某個標記的機率低於此閥值。數值越高，風險越低，獎勵越低",
-    "llm.prediction.speculativeDecoding.minDraftLengthToConsider/title": "最小草稿大小",
-    "llm.prediction.speculativeDecoding.minDraftLengthToConsider/subTitle": "草稿小於此值將被主模型忽略。數值越高，風險越低，獎勵越低",
-    "llm.prediction.speculativeDecoding.maxTokensToDraft/title": "最大草稿大小",
-    "llm.prediction.speculativeDecoding.maxTokensToDraft/subTitle": "設定草案允許的最大標記數。若所有標記概率均高於門檻值，則會觸發上限。較低的值通常代表較低風險，但獲利也相對減少",
-    "llm.prediction.speculativeDecoding.draftModel/title": "草稿模型",
-    "llm.prediction.reasoning.parsing/title": "推理段解析",
-    "llm.prediction.reasoning.parsing/subTitle": "設定模型輸出中推理段的解析方式",
-    "llm.load.contextLength/title": "上下文長度",
-    "llm.load.contextLength/subTitle": "模型可同時處理的標記數最大值。請參閱「推理參數」下的「對話溢出」選項以瞭解更管理方式",
-    "llm.load.contextLength/info": "指定模型可同時考量的標記數最大值，影響處理過程中能保留的上下文量",
-    "llm.load.contextLength/warning": "設定過高的上下文長度會大幅影響記憶體使用",
-    "llm.load.seed/title": "種子",
-    "llm.load.seed/subTitle": "文本生成所使用的隨機數發生器種子。-1 表示隨機",
-    "llm.load.seed/info": "隨機種子：設定隨機數生成的種子以確保結果可重現",
-    "llm.load.llama.evalBatchSize/title": "驗證批次大小",
-    "llm.load.llama.evalBatchSize/subTitle": "每次處理的輸入標記數。增加此值有助提升效能，但會增加記憶體使用",
-    "llm.load.llama.evalBatchSize/info": "設定評估時每批次同時處理的範例數，影響運算速度與記憶體使用",
-    "llm.load.llama.ropeFrequencyBase/title": "RoPE 頻率基礎",
-    "llm.load.llama.ropeFrequencyBase/subTitle": "自訂 RoPE 頻率基礎。增加此值可能有助於在高上下文長度下取得更好表現",
-    "llm.load.llama.ropeFrequencyBase/info": "[進階] 調整 RoPE 的基頻，影響位置資訊嵌入方式",
-    "llm.load.llama.ropeFrequencyScale/title": "RoPE 頻率縮放",
-    "llm.load.llama.ropeFrequencyScale/subTitle": "上下文長度會乘以此比例因子，以 RoPE 方式延長有效上下文",
-    "llm.load.llama.ropeFrequencyScale/info": "[進階] 調整 RoPE 頻率縮放，以控制位置嵌入細節",
-    "llm.load.llama.acceleration.offloadRatio/title": "GPU 註冊",
-    "llm.load.llama.acceleration.offloadRatio/subTitle": "指定在 GPU 上計算的離散模型層數，以提升 GPU 加速效能",
-    "llm.load.llama.acceleration.offloadRatio/info": "設定要移至 GPU 的層數",
-    "llm.load.llama.flashAttention/title": "Flash 注意力",
-    "llm.load.llama.flashAttention/subTitle": "可減少部分模型的記憶體使用與生成時間",
-    "llm.load.llama.flashAttention/info": "加快注意力機制，以達成更快更有效的處理",
-    "llm.load.numExperts/title": "專家數",
-    "llm.load.numExperts/subTitle": "模型使用的專家數",
-    "llm.load.numExperts/info": "模型使用的專家數",
-    "llm.load.llama.keepModelInMemory/title": "保留模型記憶體",
-    "llm.load.llama.keepModelInMemory/subTitle": "即使移至 GPU，仍保留系統記憶體供模型使用。有助提升效能，但需要更多系統 RAM",
-    "llm.load.llama.keepModelInMemory/info": "避免模型被換出至硬碟，確保更快的存取速度，但會增加 RAM 使用",
-    "llm.load.llama.useFp16ForKVCache/title": "使用FP16存儲KV緩衝區",
-    "llm.load.llama.useFp16ForKVCache/info": "以半精度浮點數（FP16）儲存緩衝區可減少記憶體使用",
-    "llm.load.llama.tryMmap/title": "尋求mmap()功能",
-    "llm.load.llama.tryMmap/subTitle": "改善模型載入時間。當模型大小超出系統記憶體時，禁用此功能可能提升運算效能",
-    "llm.load.llama.tryMmap/info": "直接從硬碟載入模型檔案至記憶體",
-    "llm.load.llama.cpuThreadPoolSize/title": "CPU執行緒池大小",
-    "llm.load.llama.cpuThreadPoolSize/subTitle": "配置用於模型計算的執行緒池的CPU執行緒數量",
-    "llm.load.llama.cpuThreadPoolSize/info": "配置用於模型計算的執行緣池的CPU執行緣數量。增加執行緣數未必能提升效能。預設值為<{{dynamicValue}}>",
-    "llm.load.llama.kCacheQuantizationType/title": "KV緩衝區量化類型",
-    "llm.load.llama.kCacheQuantizationType/subTitle": "值越小記憶體使用越低，但可能降低輸出品質。效果因模型而異",
-    "llm.load.llama.vCacheQuantizationType/title": "V緩衝區量化類型",
-    "llm.load.llama.vCacheQuantizationType/subTitle": "值越小記憶體使用越低，但可能降低輸出品質。效果因模型而異",
-    "llm.load.llama.vCacheQuantizationType/turnedOnWarning": "⚠️ 若未啟用Flash Attention，必須禁用此設定",
-    "llm.load.llama.vCacheQuantizationType/disabledMessage": "只有在啟用Flash Attention時才能啟動此功能",
-    "llm.load.llama.vCacheQuantizationType/invalidF32MetalState": "⚠️ 使用F32時必須禁用Flash Attention",
-    "llm.load.mlx.kvCacheBits/title": "KV緩衝區量化",
-    "llm.load.mlx.kvCacheBits/subTitle": "KV緩衝區應量化為多少位元",
-    "llm.load.mlx.kvCacheBits/info": "KV緩衝區應量化為多少位元",
-    "llm.load.mlx.kvCacheBits/turnedOnWarning": "使用KV緩衝區量化時會忽略上下文長度設定",
-    "llm.load.mlx.kvCacheGroupSize/title": "KV緩衝區量化：組大小",
-    "llm.load.mlx.kvCacheGroupSize/subTitle": "在量化運算時用於KV緩衝區的組大小。組大小越大記憶體使用越低，但可能降低輸出品質",
-    "llm.load.mlx.kvCacheGroupSize/info": "KV緩衝區應量化為多少位元",
-    "llm.load.mlx.kvCacheQuantizationStart/title": "KV緩衝ity量化：當上下文長度超過此值時開始量化",
-    "llm.load.mlx.kvCacheQuantizationStart/subTitle": "開始量化KV緩衝區的上下文長度閾值",
-    "llm.load.mlx.kvCacheQuantizationStart/info": "開始量化KV緩衝區的上下文長度閾值",
-    "llm.load.mlx.kvCacheQuantization/title": "KV緩衝區量化",
-    "llm.load.mlx.kvCacheQuantization/subTitle": "量化模型的KV緩衝區。這可能會使產生速度更快且記憶體佔用更低，\n但以輸出品質的降低為代價。",
-    "llm.load.mlx.kvCacheQuantization/bits/title": "KV緩衝區量化位元數",
-    "llm.load.mlx.kvCacheQuantization/bits/tooltip": "量化KV緩衝區的位元數",
-    "llm.load.mlx.kvCacheQuantization/bits/bits": "位元",
-    "llm.load.mlx.kvCacheQuantization/groupSize/title": "組大小策略",
-    "llm.load.mlx.kvCacheQuantization/groupSize/accuracy": "精確度",
-    "llm.load.mlx.kvCacheQuantization/groupSize/balanced": "平衡",
-    "llm.load.mlx.kvCacheQuantization/groupSize/speedy": "速度優先",
-    "llm.load.mlx.kvCacheQuantization/groupSize/tooltip": "高級：量化「矩陣乘法羣大小」配置\n\n• 精度 = 羣大小 32\n• 平衡 = 羣大小 64\n• 速度 = 羣大小 128\n",
-    "llm.load.mlx.kvCacheQuantization/quantizedStart/title": "當上下文長度達到這個值時開始量化",
-    "llm.load.mlx.kvCacheQuantization/quantizedStart/tooltip": "當上下文長度達到這個 token 數量時，\n開始量化 KV 緩存",
-    "embedding.load.contextLength/title": "上下文長度",
-    "embedding.load.contextLength/subTitle": "模型在一個提示中能處理的最大 token 數量。請參閱「推理參數」下的對話溢出選項，瞭解更多管理方式",
-    "embedding.load.contextLength/info": "指定模型一次能考慮的最大 token 數量，影響處理時會保留多少上下文",
-    "embedding.load.llama.ropeFrequencyBase/title": "RoPE 頻率基數",
-    "embedding.load.llama.ropeFrequencyBase/subTitle": "為旋轉位置嵌入（RoPE）自訂的頻率基數。提升這個值或許能在高上下文長度下取得更好的表現",
-    "embedding.load.llama.ropeFrequencyBase/info": "[高階] 調整旋轉位置編碼的基礎頻率，影響位置資訊的嵌入方式",
-    "embedding.load.llama.evalBatchSize/title": "評估批次大小",
-    "embedding.load.llama.evalBatchSize/subTitle": "每次處理的輸入記號數。增加此值可提升效能，但會增加記憶體使用",
-    "embedding.load.llama.evalBatchSize/info": "設定評估時每批次同時處理的記號數",
-    "embedding.load.llama.ropeFrequencyScale/title": "旋轉位置編碼頻率縮放",
-    "embedding.load.llama.ropeFrequencyScale/subTitle": "透過此係數縮放上下文長度，以延長使用旋轉位置編碼的有效上下文",
-    "embedding.load.llama.ropeFrequencyScale/info": "[高階] 修改旋轉位置編碼的頻率縮放，以控制位置編碼的精細度",
-    "embedding.load.llama.acceleration.offloadRatio/title": "GPU 卸載",
-    "embedding.load.llama.acceleration.offloadRatio/subTitle": "在 GPU 上計算的離散模型層數。用於 GPU 加速",
-    "embedding.load.llama.acceleration.offloadRatio/info": "設定卸載至 GPU 的層數",
-    "embedding.load.llama.keepModelInMemory/title": "保持模型在記憶體中",
-    "embedding.load.llama.keepModelInMemory/subTitle": "即使卸載至 GPU，也保留系統記憶體給模型。改善效能但需要更多系統RAM",
-    "embedding.load.llama.keepModelInMemory/info": "防止模型被換出到磁碟，確保快速訪問，但會增加RAM使用",
-    "embedding.load.llama.tryMmap/title": "嘗試使用mmap()",
-    "embedding.load.llama.tryMmap/subTitle": "提高模型的載入時間。如模型大於可用系統記憶體，關閉此功能可能提升效能",
-    "embedding.load.llama.tryMmap/info": "直接從硬碟載入模型檔案到記憶體",
-    "embedding.load.seed/title": "種子",
-    "embedding.load.seed/subTitle": "用於文字生成的隨機數生成器的種子。-1 表示隨機種子",
-    "embedding.load.seed/info": "隨機種子：設定隨機數生成的種子以確保結果可重現",
-    "presetTooltip": {
-        "included/title": "預設值",
-        "included/description": "以下欄位將會被應用",
-        "included/empty": "這個預設設定在當前情境下不適用。",
-        "included/conflict": "您將被要求選擇是否適用此值。",
-        "separateLoad/title": "載入時配置",
-        "separateLoad/description.1": "此預設設定還包含以下載入時配置。載入時間配置是模型範圍的，需重新載入模型才能生效。請保持",
-        "separateLoad/description.2": "應用於",
-        "separateLoad/description.3": ".",
-        "excluded/title": "可能不適用",
-        "excluded/description": "下列欄位屬於此預設設定，但在當前情境下不適用。",
-        "legacy/title": "傳統預設",
-        "legacy/description": "此預設設定為傳統預設。它包含的下列欄位，現已自動處理，或不再適用。",
-        "button/publish": "上傳至 Hub",
-        "button/pushUpdate": "將變更推送到 Hub",
-        "button/export": "匯出"
+    "checkboxNumeric": {
+      "off": "關閉"
     },
-    "customInputs": {
-        "string": {
-            "emptyParagraph": "<空>"
-        },
-        "checkboxNumeric": {
-            "off": "關閉"
-        },
-        "llamaCacheQuantizationType": {
-            "off": "關閉"
-        },
-        "mlxKvCacheBits": {
-            "off": "關閉"
-        },
-        "stringArray": {
-            "empty": "<空>"
-        },
-        "llmPromptTemplate": {
-            "type": "類型",
-            "types.jinja/label": "模版（Jinja）",
-            "jinja.bosToken/label": "BOS 標記",
-            "jinja.eosToken/label": "EOS 標記",
-            "jinja.template/label": "模版",
-            "jinja/error": "無法解析 Jinja 模板：{{錯誤}}",
-            "jinja/empty": "請在上方輸入一個 Jinja 模板。",
-            "jinja/unlikelyToWork": "您提供的上方 Jinja 模板可能無法正常運作，因為它未參考變數「messages」。請確認是否正確輸入了模板。",
-            "types.manual/label": "手動",
-            "manual.subfield.beforeSystem/label": "系統前",
-            "manual.subfield.beforeSystem/placeholder": "輸入系統前綴…",
-            "manual.subfield.afterSystem/label": "系統後",
-            "manual.subfield.afterSystem/placeholder": "輸入系統後綴…",
-            "manual.subfield.beforeUser/label": "使用者前",
-            "manual.subfield.beforeUser/placeholder": "輸入使用者前綴…",
-            "manual.subfield.afterUser/label": "使用者後",
-            "manual.subfield.afterUser/placeholder": "輸入使用者後綴…",
-            "manual.subfield.beforeAssistant/label": "助理前",
-            "manual.subfield.beforeAssistant/placeholder": "輸入助理前綴…",
-            "manual.subfield.afterAssistant/label": "助理後",
-            "manual.subfield.afterAssistant/placeholder": "輸入助理後綴…",
-            "stopStrings/label": "額外停止字串",
-            "stopStrings/subTitle": "將會用在附加於使用者指定停止字串上的模板特定停止字串。"
-        },
-        "contextLength": {
-            "maxValueTooltip": "這是模型訓練時最大處理的標記數。點擊即可設定語境為此值",
-            "maxValueTextStart": "模型最高支援",
-            "maxValueTextEnd": "標記",
-            "tooltipHint": "雖然模型可能支援至某個標記數，但若您的硬體無法承載，表現可能遞減 - 增加此值時請謹慎"
-        },
-        "contextOverflowPolicy": {
-            "stopAtLimit": "到達極限時停止",
-            "stopAtLimitSub": "一旦模型記憶體填滿，就停止生成",
-            "truncateMiddle": "截斷中間",
-            "truncateMiddleSub": "移除對話中間的訊息以騰出空間給較新的訊息。模型仍會記得對話開始的部分",
-            "rollingWindow": "滾動窗口",
-            "rollingWindowSub": "模型會總是以最近的幾條訊息為據，但可能遺忘對話開始的部分"
-        },
-        "llamaAccelerationOffloadRatio": {
-            "max": "MAX",
-            "off": "關閉"
-        },
-        "llamaAccelerationSplitStrategy": {
-            "evenly": "均勻",
-            "favorMainGpu": "偏好主 GPU"
-        },
-        "speculativeDecodingDraftModel": {
-            "readMore": "閱讀它的工作方式",
-            "placeholder": "選擇一個相容的草稿模型",
-            "noCompatible": "未找到與您當前模型選項相容的草案模型",
-            "stillLoading": "尋找相容的草案模型…",
-            "notCompatible": "您選擇的草案模型 (<draft/>) 與當前模型選項 (<current/>) 不相容。",
-            "off": "關閉",
-            "loadModelToSeeOptions": "載入模型 <keyboard-shortcut /> 以查看相容選項",
-            "compatibleWithNumberOfModels": "建議適用於至少 {{dynamicValue}} 的模型",
-            "recommendedForSomeModels": "建議適用於部分模型",
-            "recommendedForLlamaModels": "建議適用於Llama模型",
-            "recommendedForQwenModels": "建議適用於Qwen模型",
-            "onboardingModal": {
-                "introducing": "介紹",
-                "speculativeDecoding": "猜測解碼",
-                "firstStepBody": "針對 <custom-span>llama.cpp</custom-span> 與 <custom-span>MLX</custom-span> 模型的推論速度提升",
-                "secondStepTitle": "搭配猜測解碼的推論速度提升",
-                "secondStepBody": "猜測解碼是兩個模型協作的技術：\n - 一個較大的「主」模型\n - 一個較小的「草案」模型\n\n在生成過程中，草案模型會快速提出 token 供較大的主模型驗證。驗證 token 的過程比實際生成更快，這就是速度提升的來源。**通常，主模型與草案模型之間的大小差距越大，速度提升越明顯**。\n\n為維持品質，主模型只接受與自己生成一致的 token，使大模型在更快的推論速度下仍能保持回應品質。兩模型必須共用相同的詞彙。",
-                "draftModelRecommendationsTitle": "草案模型建議",
-                "basedOnCurrentModels": "基於您目前的模型",
-                "close": "關閉",
-                "next": "下一個",
-                "done": "完成"
-            },
-            "speculativeDecodingLoadModelToSeeOptions": "請先載入一個模型 <model-badge /> ",
-            "errorEngineNotSupported": "猜測解碼需至少 {{minVersion}} 版本的引擎 {{engineName}}。請更新引擎 (<key/>) 並重新載入模型才能使用此功能。",
-            "errorEngineNotSupported/noKey": "猜測解碼需至少 {{minVersion}} 版本的引擎 {{engineName}}。請更新引擎並重新載入模型才能使用此功能。"
-        },
-        "llmReasoningParsing": {
-            "startString/label": "起始字符串",
-            "startString/placeholder": "輸入起始字符串…",
-            "endString/label": "結束字符串",
-            "endString/placeholder": "輸入結束字符串…"
-        }
+    "llamaCacheQuantizationType": {
+      "off": "關閉"
     },
-    "saveConflictResolution": {
-        "title": "選擇要在預設值中包含的值",
-        "description": "選擇保留哪些值",
-        "instructions": "點擊要包含的值",
-        "userValues": "上一值",
-        "presetValues": "新值",
-        "confirm": "確認",
-        "cancel": "取消"
+    "mlxKvCacheBits": {
+      "off": "關閉"
     },
-    "applyConflictResolution": {
-        "title": "要保留哪些值？",
-        "description": "您有未提交的變更與 incoming Preset 有重疊",
-        "instructions": "請點擊您想要保留的值",
-        "userValues": "當前值",
-        "presetValues": "incoming Preset 值",
-        "confirm": "確認",
-        "cancel": "取消"
+    "stringArray": {
+      "empty": "<空的>"
     },
-    "empty": "<空白>",
-    "noModelSelected": "沒有選取模型",
-    "apiIdentifier.label": "API 識別碼",
-    "apiIdentifier.hint": "選項提供此模型的識別碼。此識別碼將用於 API 請求。留空則使用預設識別碼。",
-    "idleTTL.label": "若閒置即卸載 (TTL)",
-    "idleTTL.hint": "若設定，模型在閒置指定時間後將自動卸載。",
-    "idleTTL.mins": "分鐘",
-    "presets": {
-        "title": "預設",
-        "commitChanges": "提交變更",
-        "commitChanges/description": "將您的變更提交至預設值。",
-        "commitChanges.manual": "新字段偵測到。您將能選擇哪些變更包含在預設中。",
-        "commitChanges.manual.hold.0": "保持",
-        "commitChanges.manual.hold.1": "用以選擇哪些變更提交至預設。",
-        "commitChanges.saveAll.hold.0": "保持",
-        "commitChanges.saveAll.hold.1": "用以保存所有變更。",
-        "commitChanges.saveInPreset.hold.0": "保持",
-        "commitChanges.saveInPreset.hold.1": "僅保存已包含在預設中的字段變更。",
-        "commitChanges/error": "無法提交變更至預設。",
-        "commitChanges.manual/description": "選擇哪些變更包含在預設中。",
-        "saveAs": "另存為新…",
-        "presetNamePlaceholder": "輸入預設名稱…",
-        "cannotCommitChangesLegacy": "這是一個遺留預設，無法修改。您可使用「另存為新…」建立副本。",
-        "cannotCommitChangesNoChanges": "無變更可提交。",
-        "emptyNoUnsaved": "選擇預設…",
-        "emptyWithUnsaved": "未保存預設",
-        "saveEmptyWithUnsaved": "保存預設為…",
-        "saveConfirm": "保存",
-        "saveCancel": "取消",
-        "saving": "保存中…",
-        "save/error": "無法保存預設。",
-        "deselect": "取消選擇預設",
-        "deselect/error": "無法取消選擇預設。",
-        "select/error": "無法選擇預設。",
-        "delete/error": "無法刪除預設。",
-        "discardChanges": "清除未保存",
-        "discardChanges/info": "清除所有未提交變更並恢復預設至原狀態",
-        "newEmptyPreset": "+ 新預設",
-        "importPreset": "導入",
-        "contextMenuSelect": "應用預設",
-        "contextMenuDelete": "刪除…",
-        "contextMenuShare": "發布…",
-        "contextMenuOpenInHub": "在中心觀看",
-        "contextMenuPushChanges": "將變更推送到中心",
-        "contextMenuPushingChanges": "推送中…",
-        "contextMenuPushedChanges": "變更已推送",
-        "contextMenuExport": "導出檔案",
-        "contextMenuRevealInExplorer": "在檔案管理員中顯示",
-        "contextMenuRevealInFinder": "在搜尋器中顯示",
-        "share": {
-            "title": "發布預設",
-            "action": "與其他人分享您的預設，以便他們下載、點讚與分叉",
-            "presetOwnerLabel": "擁有者",
-            "uploadAs": "您的預設將被建立為{{name}}",
-            "presetNameLabel": "預設名稱",
-            "descriptionLabel": "描述（可選）",
-            "loading": "上傳中…",
-            "success": "預設已成功上傳",
-            "presetIsLive": "<預設名稱 /> 現在已在站上線！",
-            "close": "關閉",
-            "confirmViewOnWeb": "在網頁觀看",
-            "confirmCopy": "複製網址",
-            "confirmCopied": "已複製！",
-            "pushedToHub": "您的預設已上傳至站",
-            "descriptionPlaceholder": "輸入描述…",
-            "willBePublic": "發布您的預設將使其公開",
-            "publicSubtitle": "您的預設是 <custom-bold>公共</custom-bold>。其他人可以在 lmstudio.ai 下載和分叉它",
-            "confirmShareButton": "發布",
-            "error": "失敗於發佈預設",
-            "createFreeAccount": "在中心註冊免費帳號以發佈預設"
-        },
-        "update": {
-            "title": "將變更推送到中心",
-            "title/success": "預設更新成功",
-            "subtitle": "編輯 <custom-preset-name /> 並推送到中心",
-            "descriptionLabel": "說明",
-            "descriptionPlaceholder": "輸入說明…",
-            "loading": "推送中…",
-            "cancel": "取消",
-            "createFreeAccount": "在中心註冊免費帳號以發佈預設",
-            "error": "失敗於推送更新",
-            "confirmUpdateButton": "推送"
-        },
-        "import": {
-            "title": "從文件導入預設",
-            "dragPrompt": "拖放預設 JSON 檔案或 <custom-link>從您的電腦選擇</custom-link>",
-            "remove": "刪除",
-            "cancel": "取消",
-            "importPreset_zero": "導入預設",
-            "importPreset_one": "導入預設",
-            "importPreset_other": "導入 {{count}} 個預設",
-            "selectDialog": {
-                "title": "選擇預設檔 (.json)",
-                "button": "導入"
-            },
-            "error": "導入預設失敗",
-            "resultsModal": {
-                "titleSuccessSection_one": "成功導入 1 個預設",
-                "titleSuccessSection_other": "成功導入 {{count}} 個預設",
-                "titleFailSection_zero": "",
-                "titleFailSection_one": "（{{count}} 個失敗）",
-                "titleFailSection_other": "（{{count}} 個失敗）",
-                "titleAllFailed": "預設導入失敗",
-                "importMore": "導入更多",
-                "close": "完成",
-                "successBadge": "成功",
-                "alreadyExistsBadge": "預設已存在",
-                "errorBadge": "錯誤",
-                "invalidFileBadge": "無效檔案",
-                "otherErrorBadge": "預設導入失敗",
-                "errorViewDetailsButton": "查看細節",
-                "seeError": "查看錯誤",
-                "noName": "無預設名稱",
-                "useInChat": "用於對話"
-            },
-            "importFromUrl": {
-                "button": "從 URL 優化…",
-                "title": "從 URL 優化",
-                "back": "從文件優化…",
-                "action": "請在下方貼上您想導入的預設在 LM Studio Hub 的 URL",
-                "invalidUrl": "無效 URL。請確認您貼的是正確的 LM Studio Hub URL。",
-                "tip": "您可以在 LM Studio Hub 中使用 {{buttonName}} 按鈕直接安裝此預設",
-                "confirm": "導入",
-                "cancel": "取消",
-                "loading": "導入中…",
-                "error": "預設下載失敗。"
-            }
-        },
-        "download": {
-            "title": "從 LM Studio Hub 取得 <preset-name /> 預設",
-            "subtitle": "將 <custom-name /> 儲存至您的預設。這樣您就可以在應用程式中使用此預設",
-            "button": "取得",
-            "button/loading": "取得中…",
-            "cancel": "取消",
-            "error": "預設下載失敗。"
-        },
-        "inclusiveness": {
-            "speculativeDecoding": "包含於預設"
-        }
+    "llmPromptTemplate": {
+      "type": "類型",
+      "types.jinja/label": "範本 (Jinja)",
+      "jinja.bosToken/label": "BOS Token",
+      "jinja.eosToken/label": "EOS Token",
+      "jinja.template/label": "範本",
+      "jinja/error": "解析 Jinja 範本失敗：{{error}}",
+      "jinja/empty": "請在上方輸入 Jinja 範本。",
+      "jinja/unlikelyToWork": "您提供的 Jinja 範本可能無法正常運作，因為它沒有參考變數「messages」。請仔細檢查您是否已輸入正確的範本。",
+      "types.manual/label": "手動",
+      "manual.subfield.beforeSystem/label": "系統前",
+      "manual.subfield.beforeSystem/placeholder": "輸入系統前綴...",
+      "manual.subfield.afterSystem/label": "系統後",
+      "manual.subfield.afterSystem/placeholder": "輸入系統後綴...",
+      "manual.subfield.beforeUser/label": "使用者前",
+      "manual.subfield.beforeUser/placeholder": "輸入使用者前綴...",
+      "manual.subfield.afterUser/label": "使用者後",
+      "manual.subfield.afterUser/placeholder": "輸入使用者後綴...",
+      "manual.subfield.beforeAssistant/label": "助理前",
+      "manual.subfield.beforeAssistant/placeholder": "輸入助理前綴...",
+      "manual.subfield.afterAssistant/label": "助理後",
+      "manual.subfield.afterAssistant/placeholder": "輸入助理後綴...",
+      "stopStrings/label": "額外的停止字串",
+      "stopStrings/subTitle": "範本特定的停止字串，將除了使用者指定的停止字串之外使用。"
+    },
+    "contextLength": {
+      "maxValueTooltip": "這是模型訓練時可以處理的最大 Token 數量。點擊以將上下文設定為此值。",
+      "maxValueTextStart": "模型支援最高",
+      "maxValueTextEnd": "個 Token",
+      "tooltipHint": "雖然模型可能支援到一定的 Token 數量，但如果您的機器資源無法負擔負荷，效能可能會下降 - 在增加此值時請小心使用。"
+    },
+    "contextOverflowPolicy": {
+      "stopAtLimit": "在限制處停止",
+      "stopAtLimitSub": "當模型的記憶體已滿時停止生成。",
+      "truncateMiddle": "截斷中間",
+      "truncateMiddleSub": "移除對話中訊息以騰出空間給較新的訊息。模型仍會記住對話的開頭。",
+      "rollingWindow": "滾動視窗",
+      "rollingWindowSub": "模型將始終獲得最近幾則訊息，但可能會忘記對話的開頭。"
+    },
+    "llamaAccelerationOffloadRatio": {
+      "max": "最大值",
+      "off": "關閉"
+    },
+    "gpuSplitStrategy": {
+      "evenly": "Evenly",
+      "favorMainGpu": "Favor Main GPU"
+    },
+    "speculativeDecodingDraftModel": {
+      "readMore": "閱讀運作方式",
+      "placeholder": "選擇相容的草稿模型",
+      "noCompatible": "找不到與您目前的模型選擇相容的草稿模型。",
+      "stillLoading": "正在識別相容的草稿模型...",
+      "notCompatible": "所選的草稿模型 (<draft/>) 與目前的模型選擇 (<current/>) 不相容。",
+      "off": "關閉",
+      "loadModelToSeeOptions": "載入模型 <keyboard-shortcut /> 以查看相容選項",
+      "compatibleWithNumberOfModels": "建議至少適用於您的 {{dynamicValue}} 個模型",
+      "recommendedForSomeModels": "建議用於部分模型",
+      "recommendedForLlamaModels": "建議用於 Llama 模型",
+      "recommendedForQwenModels": "建議用於 Qwen 模型",
+      "onboardingModal": {
+        "introducing": "介紹",
+        "speculativeDecoding": "推測式解碼",
+        "firstStepBody": "針對 <custom-span>llama.cpp</custom-span> 和 <custom-span>MLX</custom-span> 模型的推理加速",
+        "secondStepTitle": "使用推測式解碼的推理加速",
+        "secondStepBody": "推測式解碼是一種涉及兩個模型協作的技術：\n - 一個較大的「主要」模型\n - 一個較小的「草稿」模型\n\n在生成過程中，草稿模型快速地提出 Token 給更大的主要模型驗證。驗證 Token 的過程比實際生成 Token 快得多，這是速度提升的來源。通常，主要模型和草稿模型之間的尺寸差異越大，加速效果越顯著。\n\n為了維持品質，主要模型僅接受與其本身會生成的 Token 相符的 Token，從而實現了較大模型的響應品質，同時具有更快的推理速度。兩個模型必須共享相同的詞彙表。",
+        "draftModelRecommendationsTitle": "草稿模型建議",
+        "basedOnCurrentModels": "根據您目前的模型",
+        "close": "關閉",
+        "next": "下一步",
+        "done": "完成"
+      },
+      "speculativeDecodingLoadModelToSeeOptions": "請先載入模型 <model-badge /> ",
+      "errorEngineNotSupported": "推測式解碼需要引擎 {{engineName}} 的至少 {{minVersion}} 版本。請更新引擎 (<key/>) 並重新載入模型以使用此功能。",
+      "errorEngineNotSupported/noKey": "推測式解碼需要引擎 {{engineName}} 的至少 {{minVersion}} 版本。請更新引擎並重新載入模型以使用此功能。"
+    },
+    "llmReasoningParsing": {
+      "startString/label": "起始字串",
+      "startString/placeholder": "輸入起始字串...",
+      "endString/label": "結束字串",
+      "endString/placeholder": "輸入結束字串..."
+    }
+  },
+  "saveConflictResolution": {
+    "title": "選擇要包含在預設值中的數值",
+    "description": "挑選您想要保留的數值",
+    "instructions": "點擊一個數值以將其包含進去",
+    "userValues": "先前的值",
+    "presetValues": "新的值",
+    "confirm": "確認",
+    "cancel": "取消"
+  },
+  "applyConflictResolution": {
+    "title": "保留哪些值？",
+    "description": "您有尚未提交的變更，這些變更與傳入的預設值重疊。",
+    "instructions": "點擊一個數值以保留它。",
+    "userValues": "目前的值",
+    "presetValues": "傳入的預設值",
+    "confirm": "確認",
+    "cancel": "取消"
+  },
+  "empty": "<空白>",
+  "noModelSelected": "未選擇模型",
+  "apiIdentifier.label": "API 識別碼",
+  "apiIdentifier.hint": "可選地為此模型提供一個識別碼。這將用於 API 請求。留空以使用預設識別碼。",
+  "idleTTL.label": "閒置時自動卸載 (TTL)",
+  "idleTTL.hint": "如果設定，模型在閒置指定的時間後將會自動卸載。",
+  "idleTTL.mins": "分鐘",
+
+  "presets": {
+    "title": "預設值",
+    "saveChanges": "儲存",
+    "saveChanges/description": "儲存您對預設值的變更。",
+    "saveChanges.manual": "偵測到新欄位。您將能夠選擇要包含在預設值中的哪些變更。",
+    "saveChanges.manual.hold.0": "按住",
+    "saveChanges.manual.hold.1": "以選擇要儲存到預設值的哪些變更。",
+    "saveChanges.saveAll.hold.0": "按住",
+    "saveChanges.saveAll.hold.1": "以儲存所有變更。",
+    "saveChanges.saveInPreset.hold.0": "按住",
+    "saveChanges.saveInPreset.hold.1": "僅儲存已包含在預設值中的欄位的變更。",
+    "saveChanges/error": "儲存到預設值的變更失敗。",
+    "saveChanges.manual/description": "選擇要包含在預設值中的哪些變更。",
+    "saveAs": "另存為...",
+    "presetNamePlaceholder": "輸入預設值的名稱....",
+    "cannotCommitChangesLegacy": "這是一個遺留的預設值，無法修改。您可以使用「另存為...」來建立副本。",
+    "cannotSaveChangesNoChanges": "沒有可儲存的變更。",
+    "emptyNoUnsaved": "選擇一個預設值...",
+    "emptyWithUnsaved": "未保存的預設值",
+    "saveEmptyWithUnsaved": "另存為預設值...",
+    "saveConfirm": "儲存",
+    "saveCancel": "取消",
+    "saving": "儲存中...",
+    "save/error": "儲存預設值失敗。",
+    "deselect": "取消選擇預設值",
+    "deselect/error": "取消選擇預設值失敗。",
+    "select/error": "選擇預設值失敗。",
+    "delete/error": "刪除預設值失敗。",
+    "discardChanges": "捨棄變更",
+    "discardChanges/info": "捨棄所有未提交的變更，並將預設值還原為原始狀態",
+    "newEmptyPreset": "+ 新增預設值",
+    "importPreset": "匯入",
+    "contextMenuCopyIdentifier": "複製預設值識別碼",
+    "contextMenuSelect": "套用預設值",
+    "contextMenuDelete": "刪除...",
+    "contextMenuShare": "發布...",
+    "contextMenuOpenInHub": "在網頁上檢視",
+    "contextMenuPullFromHub": "取得最新版本",
+    "contextMenuPushChanges": "將變更推送到 Hub",
+    "contextMenuPushingChanges": "推送中...",
+    "contextMenuPushedChanges": "變更已推送到",
+    "contextMenuExport": "匯出檔案",
+    "contextMenuRevealInExplorer": "在檔案總管中顯示",
+    "contextMenuRevealInFinder": "在 Finder 中顯示",
+    "share": {
+      "title": "發布預設值",
+      "action": "分享您的預設值，讓其他人可以下載、喜歡和複製",
+      "presetOwnerLabel": "擁有者",
+      "uploadAs": "您的預設值將以 {{name}} 建立",
+      "presetNameLabel": "預設值名稱",
+      "descriptionLabel": "描述 (可選)",
+      "loading": "發布中...",
+      "success": "預設值已成功推送到",
+      "presetIsLive": "<preset-name /> 現在在 Hub 上線了！",
+      "close": "關閉",
+      "confirmViewOnWeb": "在網頁上檢視",
+      "confirmCopy": "複製 URL",
+      "confirmCopied": "已複製！",
+      "pushedToHub": "您的預設值已推送到 Hub",
+      "descriptionPlaceholder": "輸入描述...",
+      "willBePublic": "這個預設值將會是公開的。網路上任何人都可以看到它。",
+      "willBePrivate": "只有您才能看到這個預設值",
+      "willBeOrgVisible": "這個預設值將會對組織中的每個人可見。",
+      "publicSubtitle": "您的預設值是 <custom-bold>公開</custom-bold> 的。其他人可以在 lmstudio.ai 上下載和複製它",
+      "privateUsageReached": "私人預設值的數量上限已達致。",
+      "continueInBrowser": "在瀏覽器中繼續",
+      "confirmShareButton": "發布",
+      "error": "發布預設值失敗",
+      "createFreeAccount": "在 Hub 中建立免費帳戶以發布預設值"
+    },
+    "update": {
+      "title": "推動變更至 Hub",
+      "title/success": "預設值已成功更新",
+      "subtitle": "對 <custom-preset-name /> 進行變更並將其推送到 Hub",
+      "descriptionLabel": "描述",
+      "descriptionPlaceholder": "輸入描述...",
+      "loading": "推送中...",
+      "cancel": "取消",
+      "createFreeAccount": "在 Hub 中建立免費帳戶以發布預設值",
+      "error": "推動更新失敗",
+      "confirmUpdateButton": "推動"
+    },
+    "resolve": {
+      "title": "解析衝突...",
+      "tooltip": "開啟一個模式對 Hub 版本差異進行解析"
     },
-    "flashAttentionWarning": "閃光注意力是實驗性功能，可能導致某些模型出現問題。如果遇到問題，試著關閉它。",
-    "llamaKvCacheQuantizationWarning": "KV 緩存量化是實驗性功能，可能導致某些模型出現問題。閃光注意必須啟用才能使用 V 緩存量化。如果遇到問題，請還原為預設的 \"F16\"。",
-    "seedUncheckedHint": "隨機種子",
-    "ropeFrequencyBaseUncheckedHint": "自動",
-    "ropeFrequencyScaleUncheckedHint": "自動",
-    "hardware": {
-        "advancedGpuSettings": "進階 GPU 設定",
-        "advancedGpuSettings.info": "若不確定，請保留這些預設值",
-        "advancedGpuSettings.reset": "重置為預設",
-        "environmentVariables": {
-            "title": "環境變數",
-            "description": "模型生命週期中活躍的環境變數。",
-            "key.placeholder": "選擇變數…",
-            "value.placeholder": "值"
-        },
-        "mainGpu": {
-            "title": "主要GPU",
-            "description": "為模型計算優先選擇的GPU。",
-            "placeholder": "選擇主要GPU…"
-        },
-        "splitStrategy": {
-            "title": "分割策略",
-            "description": "如何在多張GPU上分割模型計算。",
-            "placeholder": "選擇分割策略…"
+    "loginToManage": {
+      "title": "登入以管理..."
+    },
+    "downloadFromHub": {
+      "title": "下載",
+      "downloading": "正在下載...",
+      "success": "已下載！",
+      "error": "下載失敗"
+    },
+    "push": {
+      "title": "推動變更",
+      "pushing": "推送中...",
+      "success": "已推動",
+      "tooltip": "將您的本地變更推送到 Hub 上託管的遠端版本",
+      "error": "推動失敗"
+    },
+    "saveAsNewModal": {
+      "title": "糟糕！在 Hub 上找不到這個預設值",
+      "confirmSaveAsNewDescription": "您想將此預設值作為新的預設值發布嗎？",
+      "confirmButton": "以新方式發布"
+    },
+    "pull": {
+      "title": "取得最新版本",
+      "error": "拉取失敗",
+      "contextMenuErrorMessage": "拉取失敗",
+      "success": "已拉取",
+      "pulling": "正在拉取...",
+      "upToDate": "已更新！",
+      "unsavedChangesModal": {
+        "title": "您有未儲存的變更。",
+        "bodyContent": "從遠端拉取將覆寫您的未儲存的變更。繼續？",
+        "confirmButton": "覆寫未儲存的變更"
+      }
+    },
+    "import": {
+      "title": "從檔案匯入預設值",
+      "dragPrompt": "拖放預設值檔案 (.tar.gz 或 preset.json) 或 <custom-link>從您的電腦中選取</custom-link>",
+      "remove": "移除",
+      "cancel": "取消",
+      "importPreset_zero": "匯入預設值",
+      "importPreset_one": "匯入預設值",
+      "importPreset_other": "匯入 {{count}} 個預設值",
+      "selectDialog": {
+        "title": "選取預設值檔案 (preset.json 或 .tar.gz)",
+        "button": "匯入"
+      },
+      "error": "匯入預設值失敗",
+      "resultsModal": {
+        "titleSuccessSection_one": "成功匯入 1 個預設值",
+        "titleSuccessSection_other": "成功匯入 {{count}} 個預設值",
+        "titleFailSection_zero": "",
+        "titleFailSection_one": "({{count}} 個失敗)",
+        "titleFailSection_other": "({{count}} 個失敗)",
+        "titleAllFailed": "匯入預設值失敗",
+        "importMore": "匯入更多",
+        "close": "完成",
+        "successBadge": "成功",
+        "alreadyExistsBadge": "預設值已存在",
+        "errorBadge": "錯誤",
+        "invalidFileBadge": "無效的檔案",
+        "otherErrorBadge": "匯入預設值失敗",
+        "errorViewDetailsButton": "檢視詳細資料",
+        "seeError": "查看錯誤",
+        "noName": "沒有預設值名稱",
+        "useInChat": "在聊天中使用"
+      },
+      "importFromUrl": {
+        "button": "從 URL 匯入 URL...",
+        "title": "從 URL 匯入",
+        "back": "從檔案匯入...",
+        "action": "貼上您要匯入的 LM Studio Hub 預設值的 URL 下方",
+        "invalidUrl": "無效的 URL。請確保您貼上的正確 LM Studio Hub URL。",
+        "tip": "您可以透過 LM Studio Hub 中的 {{buttonName}} 按鈕直接安裝此預設值",
+        "confirm": "匯入",
+        "cancel": "取消",
+        "loading": "正在匯入...",
+        "error": "無法下載預設值。"
+      }
+    },
+    "download": {
+      "title": "從 LM Studio Hub 拉取 <preset-name />",
+      "subtitle": "將 <custom-name /> 儲存到您的預設值。這樣您就可以在應用程式中使用這個預設值了",
+      "button": "拉取",
+      "button/loading": "在拉取...",
+      "cancel": "取消",
+      "error": "下載預設值失敗。"
+    },
+    "inclusiveness": {
+      "speculativeDecoding": "包含在預設值中"
+    }
+  },
+
+  "flashAttentionWarning": "Flash Attention 是一個實驗性功能，可能會在使用某些模型時造成問題。如果遇到問題，請嘗試停用它。",
+  "llamaKvCacheQuantizationWarning": "KV 快取量化是一個實驗性功能，可能會在使用某些模型時造成問題。V 快取量化需要啟用 Flash Attention。如果遇到問題，請重設為預設值「F16」。",
+
+  "seedUncheckedHint": "隨機種子",
+  "ropeFrequencyBaseUncheckedHint": "自動",
+  "ropeFrequencyScaleUncheckedHint": "自動",
+
+  "hardware": {
+    "environmentVariables": "環境變數",
+    "environmentVariables.info": "如果您不確定，請將其保留在預設值。",
+    "environmentVariables.reset": "重設為預設值",
+
+    "gpus.information": "設定您機器上偵測到的圖形處理單元 (GPU)",
+    "gpuSettings": {
+      "editMaxCapacity": "編輯最大容量",
+      "hideEditMaxCapacity": "隱藏編輯最大容量",
+      "allOffWarning": "所有 GPU 都已關閉或停用，請確保有 GPU 配置才能載入模型。",
+      "split": {
+        "title": "策略",
+        "placeholder": "選取 GPU 記憶體配置",
+        "options": {
+          "generalDescription": "設定如何將模型載入到您的 GPU 上",
+          "evenly": {
+            "title": "平均分配",
+            "description": "在 GPU 上均勻分配記憶體"
+          },
+          "priorityOrder": {
+            "title": "優先順序排序",
+            "description": "拖曳以重新排序優先順序。系統會嘗試將更多資源配置到清單中列出的第一個 GPU。"
+          },
+          "custom": {
+            "title": "自訂",
+            "description": "分配記憶體",
+            "maxAllocation": "最大分配量"
+          }
         }
+      },
+      "deviceId.info": "此裝置的唯一識別碼",
+      "changesOnlyAffectNewlyLoadedModels": "變更僅會影響新載入的模型",
+      "toggleGpu": "啟用/停用 GPU"
+    }
+  },
+
+  "load.gpuSplitConfig/title": "GPU 分割配置",
+  "envVars/title": "設定環境變數",
+  "envVars": {
+    "select": {
+      "placeholder": "選取一個環境變數...",
+      "noOptions": "沒有更多選項可用",
+      "filter": {
+        "placeholder": "過濾搜尋結果",
+        "resultsFound_zero": "找不到任何結果",
+        "resultsFound_one": "找到 1 個結果",
+        "resultsFound_other": "找到 {{count}} 個結果"
+      }
+    },
+    "inputValue": {
+      "placeholder": "輸入一個值"
+    },
+    "values": {
+      "title": "目前的值"
     }
-}
\ No newline at end of file
+  }
+}
diff --git a/zh-Hant/shared.json b/zh-Hant/shared.json
index 312402b2..77183aa3 100644
--- a/zh-Hant/shared.json
+++ b/zh-Hant/shared.json
@@ -1,37 +1,305 @@
 {
-    "copyLmStudioLinkButton/toolTip": "複製模型下載連結",
-    "filter.noMatches": "無匹配結果",
-    "longRunningTask": {
-        "unbundlingDependencies": {
-            "badge": "正在提取資源"
-        },
-        "performingBackendHardwareSurvey": {
-            "badge": "檢查執行環境相容性"
-        },
-        "indexingRuntimes": {
-            "badge": "索引執行環境"
-        },
-        "indexingModels": {
-            "badge": "索引模型"
-        },
-        "authenticating": {
-            "badge": "驗證中"
-        },
-        "autoUpdatingExtensionPack": {
-            "badge": "更新擴展包 ({{name}} v{{version}})"
-        }
+  "copyLmStudioLinkButton/toolTip": "複製模型下載連結",
+
+  "filter.noMatches": "無匹配項目",
+  "longRunningTask": {
+    "unbundlingDependencies": {
+      "badge": "擷取資源"
     },
-    "auth": {
-        "prompt": "登入 LM 工作室_hub",
-        "authError": "驗證失敗",
-        "noAccount": "沒有帳號？",
-        "signUp": "註冊",
-        "havingTrouble": "有困難嗎？",
-        "retry": "再試一次"
+    "performingBackendHardwareSurvey": {
+      "badge": "檢測後端硬體兼容性"
     },
-    "artifacts": {
-        "fetchError": "無法取得資源"
+    "indexingRuntimes": {
+      "badge": "索引執行時間"
     },
-    "incompatible": "不相容",
-    "compatible": "相容"
-}
\ No newline at end of file
+    "indexingModels": {
+      "badge": "索引模型"
+    },
+    "authenticating": {
+      "badge": "驗證中"
+    },
+    "autoUpdatingExtensionPack": {
+      "badge": "更新擴展包 ({{name}} v{{version}})"
+    }
+  },
+  "auth": {
+    "prompt": "登入 LM Studio Hub",
+    "authError": "驗證失敗",
+    "noAccount": "沒有帳戶嗎？",
+    "signUp": "註冊",
+    "havingTrouble": "遇到問題？",
+    "retry": "重試"
+  },
+  "artifacts": {
+    "fetchError": "擷取資產失敗",
+    "organizationVisible": "組織可見"
+  },
+
+  "incompatible": "不相容",
+  "compatible": "相容",
+  "public": "公開",
+  "private": "私人",
+  "yes": "是",
+  "no": "否",
+  "go": "前住",
+
+  "proceedWithEllipsis": "繼續...",
+  "proceed": "繼續",
+  "inProgress": "進行中...",
+  "failed": "失敗",
+  "pending": "正在處理",
+  "doneWithExclamation": "完成！",
+  "done": "完成",
+  "beta": "Beta",
+
+  "complete": {
+    "completeWithEllipsis": "完成...",
+    "complete": "完成",
+    "completingWithEllipsis": "正在完成...",
+    "completing": "正在完成",
+    "completedWithExclamation": "已完成！",
+    "completed": "已完成"
+  },
+
+  "cancel": {
+    "cancelWithEllipsis": "取消...",
+    "cancel": "取消",
+    "cancelingWithEllipsis": "正在取消...",
+    "canceling": "正在取消",
+    "canceled": "已取消"
+  },
+
+  "next": {
+    "nextWithEllipsis": "下一個...",
+    "next": "下一個..."
+  },
+
+  "back": {
+    "backWithEllipsis": "返回...",
+    "back": "返回"
+  },
+
+  "close": {
+    "closeWithEllipsis": "關閉...",
+    "close": "關閉",
+    "closingWithEllipsis": "正在關閉...",
+    "closing": "正在關閉",
+    "closedWithExclamation": "已關閉！",
+    "closed": "已關閉"
+  },
+
+  "delete": {
+    "deleteWithEllipsis": "刪除...",
+    "delete": "刪除",
+    "deletingWithEllipsis": "正在刪除...",
+    "deleting": "正在刪除",
+    "deletedWithExclamation": "已刪除！",
+    "deleted": "已刪除"
+  },
+
+  "retry": {
+    "retryWithEllipsis": "重試...",
+    "retry": "重試",
+    "retryingWithEllipsis": "正在重試...",
+    "retrying": "正在重試"
+  },
+
+  "refresh": {
+    "refreshWithEllipsis": "重新整理...",
+    "refresh": "重新整理",
+    "refreshingWithEllipsis": "正在重新整理...",
+    "refreshing": "正在重新整理",
+    "refreshedWithExclamation": "已重新整理！",
+    "refreshed": "已重新整理"
+  },
+
+  "confirm": {
+    "confirm": "確認",
+    "confirmingWithEllipsis": "正在確認...",
+    "confirming": "正在確認",
+    "confirmedWithExclamation": "已確認！",
+    "confirmed": "已確認"
+  },
+
+  "copy": {
+    "copyWithEllipsis": "複製...",
+    "copy": "複製",
+    "copyingWithEllipsis": "正在複製...",
+    "copying": "正在複製",
+    "copiedWithExclamation": "已複製！",
+    "copied": "已複製"
+  },
+
+  "edit": {
+    "editWithEllipsis": "編輯...",
+    "edit": "編輯",
+    "editingWithEllipsis": "正在編輯...",
+    "editing": "正在編輯",
+    "editedWithExclamation": "已編輯！",
+    "edited": "已編輯"
+  },
+
+  "load": {
+    "loadWithEllipsis": "載入...",
+    "load": "載入",
+    "loadingWithEllipsis": "正在載入...",
+    "loading": "正在載入",
+    "loadedWithExclamation": "已載入！",
+    "loaded": "已載入！"
+  },
+
+  "save": {
+    "saveWithEllipsis": "儲存...",
+    "save": "儲存",
+    "savingWithEllipsis": "正在儲存...",
+    "saving": "正在儲存",
+    "savedWithExclamation": "已儲存！",
+    "saved": "已儲存"
+  },
+
+  "saveAs": {
+    "saveAsWithEllipsis": "另存為...",
+    "saveAs": "另存為"
+  },
+
+  "saveAsNew": {
+    "saveAsNewWithEllipsis": "另存新檔...",
+    "saveAsNew": "另存新檔"
+  },
+
+  "search": {
+    "searchWithEllipsis": "搜尋...",
+    "search": "搜尋",
+    "searchingWithEllipsis": "正在搜尋...",
+    "searching": "正在搜尋"
+  },
+
+  "update": {
+    "updateWithEllipsis": "更新...",
+    "update": "更新",
+    "updatingWithEllipsis": "正在更新...",
+    "updating": "正在更新",
+    "updatedWithExclamation": "已更新！",
+    "updated": "已更新！"
+  },
+
+  "create": {
+    "createWithEllipsis": "建立...",
+    "create": "建立",
+    "creatingWithEllipsis": "正在建立...",
+    "creating": "正在建立",
+    "createdWithExclamation": "已建立！",
+    "created": "已建立！"
+  },
+
+  "reset": {
+    "resetWithEllipsis": "重設...",
+    "reset": "重設",
+    "resettingWithEllipsis": "正在重設...",
+    "resetting": "正在重設"
+  },
+
+  "pause": {
+    "pause": "暫停",
+    "pausingWithEllipsis": "正在暫停...",
+    "pausing": "正在暫停",
+    "paused": "已暫停"
+  },
+
+  "download": {
+    "download": "下載",
+    "downloadingWithEllipsis": "正在下載...",
+    "downloading": "正在下載",
+    "downloadedWithExclamation": "已下載！",
+    "downloaded": "已下載"
+  },
+
+  "upload": {
+    "uploadWithEllipsis": "上傳...",
+    "upload": "上傳",
+    "uploadingWithEllipsis": "正在上傳...",
+    "uploading": "正在上傳",
+    "uploadedWithExclamation": "已上傳！",
+    "uploaded": "已上傳！"
+  },
+
+  "remove": {
+    "removeWithEllipsis": "移除...",
+    "remove": "移除",
+    "removingWithEllipsis": "正在移除...",
+    "removing": "正在移除",
+    "removedWithExclamation": "已移除！",
+    "removed": "已移除"
+  },
+
+  "uninstall": {
+    "uninstallWithEllipsis": "解除安裝...",
+    "uninstall": "解除安裝",
+    "uninstallingWithEllipsis": "正在解除安裝...",
+    "uninstalling": "正在解除安裝",
+    "uninstalledWithExclamation": "已解除安裝！",
+    "uninstalled": "已解除安裝"
+  },
+
+  "resume": {
+    "resumeWithEllipsis": "繼續...",
+    "resume": "繼續",
+    "resumingWithEllipsis": "正在繼續...",
+    "resuming": "正在繼續"
+  },
+
+  "start": {
+    "startWithEllipsis": "開始...",
+    "start": "開始",
+    "startingWithEllipsis": "正在開始...",
+    "starting": "正在開始",
+    "started": "已開始"
+  },
+
+  "stop": {
+    "stopWithEllipsis": "停止...",
+    "stop": "停止",
+    "stoppingWithEllipsis": "正在停止...",
+    "stopping": "正在停止",
+    "stoppedWithExclamation": "已停止！",
+    "stopped": "已停止！"
+  },
+
+  "import": {
+    "importWithEllipsis": "匯入...",
+    "import": "匯入",
+    "importingWithEllipsis": "正在匯入...",
+    "importing": "正在匯入",
+    "importedWithExclamation": "已匯入！",
+    "imported": "已匯入"
+  },
+
+  "letsGo": {
+    "letsGo": "Let's Go",
+    "letsGoWithEllipsis": "Let's Go...",
+    "letsGoWithExclamation": "Let's Go!"
+  },
+
+  "run": {
+    "runWithEllipsis": "執行...",
+    "run": "執行",
+    "runningWithEllipsis": "正在執行...",
+    "running": "正在執行"
+  },
+
+  "configure": {
+    "configureWithEllipsis": "設定...",
+    "configure": "設定",
+    "configuringWithEllipsis": "正在設定...",
+    "configured": "正在設定"
+  },
+
+  "publish": {
+    "publishWithEllipsis": "發布...",
+    "publish": "發布",
+    "publishingWithEllipsis": "正在發布...",
+    "publishing": "正在發布",
+    "publishedWithExclamation": "已發布！",
+    "published": "已發布"
+  }
+}