Update ZH-TW's language#400
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Add "actions/clearLastUsedModel": "actions/clearLastUsedModel/error": "chatTabOptions/clearAllMessages": "chatTabOptions/duplicateChat":
Add
"actions/clearLastUsedModel": "清除上次使用的模型",
"actions/clearLastUsedModel/error": "清除上次使用的模型失敗。",
"chatTabOptions/clearAllMessages": "清除所有訊息...",
"chatTabOptions/duplicateChat": "複製對話",
"signOutMcpPlugin/error": "登出插件失敗",
"cancelMcpAuthentication/error": "取消插件驗證失敗"
"speculativeDecodingAcceptedPercentage": "已接受 {{percentage}}% 草稿 Token",
"speculativeDecodingTooltip": "已接受 {{accepted}}/{{total}} 個草稿 Token"
feat(zh-TW): update missing strings
"llm.prediction.systemPrompt/edit": "編輯系統提示詞...", "llm.prediction.systemPrompt/addInstructionsWithMore": "新增指令...", "llm.prediction.systemPrompt/addInstructions": "新增指令", "llm.load.promptTemplate/title": "對話模板", "llm.load.promptTemplate/subTitle": "引擎協定用於對話、工具、推理及多模態格式化的模板。更改此設定需要重新載入模型。", "llm.load.numParallelSessions/title": "最大並發預測數", "llm.load.numParallelSessions/subTitle": "模型在同一時間可執行的最大預測數量。並發時每個預測的速度可能降低，但每個預測啟動更快且可達到更高的總吞吐量", "llm.load.useUnifiedKvCache/title": "統一 KV 快取", "llm.load.useUnifiedKvCache/subTitle": "控制並發預測是否共享單一 KV 快取以節省記憶體。停用此選項可確保每個預測使用完整的上下文長度，但代價是佔用更多記憶體", "llm.load.numCpuExpertLayersRatio/title": "強制將 MoE 權重移至 CPU 的層數", "llm.load.numCpuExpertLayersRatio/subTitle": "強制將專家層移至 CPU 的層數。可節省 VRAM，且比部分 GPU 卸載更快。若模型完全放入 VRAM 則不建議使用。", "llm.load.numCpuExpertLayersRatio/info": "指定強制將專家層移至 CPU 的層數。注意力層留在 GPU 上，可節省 VRAM 同時保持推理速度。", "llm.load.llama.physicalBatchSize/subTitle": "單次處理的最大提示 Token 數量。較大的值可能提升效能，但會使用更多記憶體",
Evil wolf6666 patch 2 add "llm.prediction.systemPrompt/edit": "編輯系統提示詞...", "llm.prediction.systemPrompt/addInstructionsWithMore": "新增指令...", "llm.prediction.systemPrompt/addInstructions": "新增指令", "llm.load.promptTemplate/title": "對話模板", "llm.load.promptTemplate/subTitle": "引擎協定用於對話、工具、推理及多模態格式化的模板。更改此設定需要重新載入模型。", "llm.load.numParallelSessions/title": "最大並發預測數", "llm.load.numParallelSessions/subTitle": "模型在同一時間可執行的最大預測數量。並發時每個預測的速度可能降低，但每個預測啟動更快且可達到更高的總吞吐量", "llm.load.useUnifiedKvCache/title": "統一 KV 快取", "llm.load.useUnifiedKvCache/subTitle": "控制並發預測是否共享單一 KV 快取以節省記憶體。停用此選項可確保每個預測使用完整的上下文長度，但代價是佔用更多記憶體", "llm.load.numCpuExpertLayersRatio/title": "強制將 MoE 權重移至 CPU 的層數", "llm.load.numCpuExpertLayersRatio/subTitle": "強制將專家層移至 CPU 的層數。可節省 VRAM，且比部分 GPU 卸載更快。若模型完全放入 VRAM 則不建議使用。", "llm.load.numCpuExpertLayersRatio/info": "指定強制將專家層移至 CPU 的層數。注意力層留在 GPU 上，可節省 VRAM 同時保持推理速度。", "llm.load.llama.physicalBatchSize/subTitle": "單次處理的最大提示 Token 數量。較大的值可能提升效能，但會使用更多記憶體",
feat(zh-TW): update missing strings
Add
"actions/clearLastUsedModel": "清除上次使用的模型",
"actions/clearLastUsedModel/error": "清除上次使用的模型失敗。", "chatTabOptions/clearAllMessages": "清除所有訊息...",
"chatTabOptions/duplicateChat": "複製對話",
"signOutMcpPlugin/error": "登出插件失敗",
"cancelMcpAuthentication/error": "取消插件驗證失敗"
"speculativeDecodingAcceptedPercentage": "已接受 {{percentage}}% 草稿 Token", "speculativeDecodingTooltip": "已接受 {{accepted}}/{{total}} 個草稿 Token"
Added new server options for remote MCP and error handling.
Added new fields for indexing and resource management.
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I have read the CLA Document and I hereby sign the CLA |
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