From 83d51ea866ad864acc07de1dbc6df0af59e0215b Mon Sep 17 00:00:00 2001 From: wxg0103 <727495428@qq.com> Date: Wed, 5 Mar 2025 13:58:27 +0800 Subject: [PATCH] refactor: i18n --- apps/locales/zh_CN/LC_MESSAGES/django.po | 6 +++--- apps/locales/zh_Hant/LC_MESSAGES/django.po | 6 +++--- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/apps/locales/zh_CN/LC_MESSAGES/django.po b/apps/locales/zh_CN/LC_MESSAGES/django.po index fdc1f8ac8..d7602cb54 100644 --- a/apps/locales/zh_CN/LC_MESSAGES/django.po +++ b/apps/locales/zh_CN/LC_MESSAGES/django.po @@ -4087,7 +4087,7 @@ msgstr "输出最大Token数" #: .\apps\setting\models_provider\impl\zhipu_model_provider\credential\image.py:24 #: .\apps\setting\models_provider\impl\zhipu_model_provider\credential\llm.py:31 msgid "Specify the maximum number of tokens that the model can generate" -msgstr "指定模型可以生成的最大令牌数" +msgstr "指定模型可以生成的最大 tokens 数" #: .\apps\setting\models_provider\impl\aliyun_bai_lian_model_provider\credential\image.py:50 #: .\apps\setting\models_provider\impl\aliyun_bai_lian_model_provider\credential\llm.py:44 @@ -4423,7 +4423,7 @@ msgid "" "retrieval-augmented generation (RAG). At launch, the model is optimized for " "English, but other languages are supported." msgstr "" -"Amazon Titan Text Express 的上下文长度长达 8000 个令牌，因而非常适合各种高级" +"Amazon Titan Text Express 的上下文长度长达 8000 个 tokens，因而非常适合各种高级" "常规语言任务，例如开放式文本生成和对话式聊天，以及检索增强生成（RAG）中的支" "持。在发布时，该模型针对英语进行了优化，但也支持其他语言。" @@ -4686,7 +4686,7 @@ msgstr "Phi-3 Mini是Microsoft的3.8B参数，轻量级，最先进的开放模 #: .\apps\setting\models_provider\impl\ollama_model_provider\ollama_model_provider.py:167 msgid "" "A high-performance open embedding model with a large token context window." -msgstr "一个具有大令牌上下文窗口的高性能开放嵌入模型。" +msgstr "一个具有大 tokens上下文窗口的高性能开放嵌入模型。" #: .\apps\setting\models_provider\impl\openai_model_provider\credential\tti.py:15 msgid "" diff --git a/apps/locales/zh_Hant/LC_MESSAGES/django.po b/apps/locales/zh_Hant/LC_MESSAGES/django.po index 69e39e457..beb0caf4f 100644 --- a/apps/locales/zh_Hant/LC_MESSAGES/django.po +++ b/apps/locales/zh_Hant/LC_MESSAGES/django.po @@ -4099,7 +4099,7 @@ msgstr "輸出最大Token數" #: .\apps\setting\models_provider\impl\zhipu_model_provider\credential\image.py:24 #: .\apps\setting\models_provider\impl\zhipu_model_provider\credential\llm.py:31 msgid "Specify the maximum number of tokens that the model can generate" -msgstr "指定模型可以生成的最大令牌數" +msgstr "指定模型可以生成的最大 tokens" #: .\apps\setting\models_provider\impl\aliyun_bai_lian_model_provider\credential\image.py:50 #: .\apps\setting\models_provider\impl\aliyun_bai_lian_model_provider\credential\llm.py:44 @@ -4435,7 +4435,7 @@ msgid "" "retrieval-augmented generation (RAG). At launch, the model is optimized for " "English, but other languages are supported." msgstr "" -"Amazon Titan Text Express 的上下文長度長達 8000 個令牌，因而非常適合各種高級" +"Amazon Titan Text Express 的上下文長度長達 8000 個 tokens，因而非常適合各種高級" "常規語言任務，例如開放式文本生成和對話式聊天，以及檢索增強生成（RAG）中的支" "持。在發佈時，該模型針對英語進行了優化，但也支持其他語言。" @@ -4698,7 +4698,7 @@ msgstr "Phi-3 Mini是Microsoft的3.8B參數，輕量級，最先進的開放模 #: .\apps\setting\models_provider\impl\ollama_model_provider\ollama_model_provider.py:167 msgid "" "A high-performance open embedding model with a large token context window." -msgstr "一個具有大令牌上下文窗口的高性能開放嵌入模型。" +msgstr "一個具有大 tokens 上下文窗口的高性能開放嵌入模型。" #: .\apps\setting\models_provider\impl\openai_model_provider\credential\tti.py:15 msgid ""