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✏️ docs: update README to support all 39 major App Store languages
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johnmai-dev committed Nov 3, 2024
1 parent ca31e9b commit 2107e65
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Showing 4 changed files with 10 additions and 4 deletions.
8 changes: 7 additions & 1 deletion ChatMLX.xcodeproj/project.pbxproj
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buildSettings = {
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buildSettings = {
ALWAYS_SEARCH_USER_PATHS = NO;
ASSETCATALOG_COMPILER_GENERATE_SWIFT_ASSET_SYMBOL_EXTENSIONS = YES;
CLANG_ANALYZER_LOCALIZABILITY_NONLOCALIZED = YES;
CLANG_ANALYZER_NONNULL = YES;
CLANG_ANALYZER_NUMBER_OBJECT_CONVERSION = YES_AGGRESSIVE;
CLANG_CXX_LANGUAGE_STANDARD = "gnu++20";
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CLANG_WARN_UNREACHABLE_CODE = YES;
CLANG_WARN__DUPLICATE_METHOD_MATCH = YES;
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DEAD_CODE_STRIPPING = YES;
DEBUG_INFORMATION_FORMAT = "dwarf-with-dsym";
ENABLE_NS_ASSERTIONS = NO;
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CODE_SIGN_STYLE = Automatic;
COMBINE_HIDPI_IMAGES = YES;
CURRENT_PROJECT_VERSION = 5;
DEAD_CODE_STRIPPING = YES;
DEVELOPMENT_ASSET_PATHS = "\"ChatMLX/Preview Content\"";
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ENABLE_HARDENED_RUNTIME = YES;
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CODE_SIGN_STYLE = Automatic;
COMBINE_HIDPI_IMAGES = YES;
CURRENT_PROJECT_VERSION = 5;
DEAD_CODE_STRIPPING = YES;
DEVELOPMENT_ASSET_PATHS = "\"ChatMLX/Preview Content\"";
DEVELOPMENT_TEAM = RFGFKQEKRH;
ENABLE_HARDENED_RUNTIME = YES;
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2 changes: 1 addition & 1 deletion ChatMLX.xcodeproj/xcshareddata/xcschemes/ChatMLX.xcscheme
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<?xml version="1.0" encoding="UTF-8"?>
<Scheme
LastUpgradeVersion = "1600"
LastUpgradeVersion = "1610"
version = "1.7">
<BuildAction
parallelizeBuildables = "YES"
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2 changes: 1 addition & 1 deletion README-zh_CN.md
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## 特性 🚀

- **多语言**支持英语、简体中文、繁体中文、日语和韩语。
- **多语言**支持应用商店中39种主流语言,包括英语、简体中文、繁体中文、日语和韩语。
- **多个模型**:提供多个模型,包括 Llama、OpenELM、Phi、Qwen、Starcoder 和 Cohere。
- **高性能**:基于 MLX 和 Apple silicon 的强大性能。
- **隐私与安全**:在本地运行 LLM,以确保用户隐私和安全。
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -31,7 +31,7 @@ English | [简体中文](./README-zh_CN.md)

## Features 🚀

- **Multilingual**: Supports English, Simplified Chinese, Traditional Chinese, Japanese, and Korean.
- **Multilingual:** Supports all 39 major App Store languages, including English, Simplified Chinese, Traditional Chinese, Japanese, and Korean.
- **Multiple Models**: Provides multiple models, including Llama, OpenELM, Phi, Qwen, Starcoder, Cohere, Gemma.
- **High Performance**: Based on the powerful performance of MLX and Apple silicon.
- **Privacy and Security**: Run LLM locally to ensure user privacy and security.
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