MAEUM AI ENGINE (TRUTHFUL) - macOS Version
This package provides the Truthful version of MAEUM AI for macOS. It’s designed for running the AI engine locally and offers a streamlined experience for users.
📦 Contents:
MaeumAI: The main executable file – the core AI engine.
koboldcpp-mac-arm64: A backend engine optimized for running Large Language Models (LLMs).
models/: Contains the AI model files in GGUF format (.gguf). These are essential for the AI to function.
_internal/: Internal libraries required for the program's operation – do not delete.
🚀 Getting Started
Method 1: Recommended - Terminal Execution
Using the terminal provides the easiest way to troubleshoot any issues.
Open the Terminal application.
Navigate to the folder containing this package using the cd command. Drag the folder directly into the Terminal window to automatically paste the path.
bash cd /path/to/extracted/folder
Run the AI engine with the following command:
bash ./MaeumAI
Method 2: Double-Click Execution
You can also run the AI engine by double-clicking the MaeumAI icon in Finder. (Initial execution may be blocked due to security settings.)
⚠️ Troubleshooting
"Unable to open because the developer cannot be verified" Error:
In Finder, right-click (or Control+click) on the MaeumAI file.
Select “Open” from the menu.
Click “Open” again in the warning dialog box. (This may only need to be done once for subsequent double-clicks.)
koboldcpp Permissions Error: The koboldcpp-mac-arm64 file might require execute permissions. Run the following command in the Terminal:
bash chmod +x koboldcpp-mac-arm64
Model File Not Recognized: Ensure that the models folder contains .gguf extension files – these are the necessary AI model files.
Created by MAEUM AI Team (Lee, DongHun)
MAEUM AI ENGINE (TRUTHFUL) - macOS Version
이 프로그램은 MAEUM AI의 Truthful 버전을 실행하기 위한 패키지입니다.
📋 구성품
MaeumAI: 실행 파일 (실제 AI 엔진)
koboldcpp-mac-arm64: LLM 구동을 위한 백엔드 엔진
models/: AI 모델 파일들 (.gguf)
_internal/: 프로그램 실행에 필요한 라이브러리들 (삭제 금지)
🚀 실행 방법
방법 1: 터미널에서 실행 (권장)
오류 메시지를 확인하기 쉬워 가장 권장되는 방법입니다.
터미널(Terminal) 앱을 엽니다.
cd 명령어로 이 폴더로 이동합니다. (폴더를 터미널 창으로 드래그하면 경로가 입력됩니다)
cd /path/to/extracted/folder
아래 명령어로 실행합니다.
./MaeumAI
방법 2: 더블 클릭 실행
Finder에서 MaeumAI 아이콘을 더블 클릭하여 실행할 수 있습니다. (보안 설정에 따라 처음에 실행이 차단될 수 있습니다)
⚠️ 문제 해결
"개발자를 확인할 수 없기 때문에 열 수 없습니다" 메시지가 뜨는 경우
Finder에서 MaeumAI 파일을 '우클릭' (또는 Control+클릭) 합니다.
메뉴에서 열기를 선택합니다.
경고창에서 열기를 다시 한번 클릭합니다. (한 번만 이렇게 하면 이후에는 더블 클릭으로 실행 가능합니다)
koboldcpp 권한 오류
koboldcpp-mac-arm64 파일도 실행 권한이 필요할 수 있습니다. 터미널에서 다음을 입력하세요:
chmod +x koboldcpp-mac-arm64
모델 파일 인식 불가
models 폴더 안에 .gguf 확장자를 가진 모델 파일이 있는지 확인하세요.
Created by MAEUM AI Team (Lee, DongHun)
🚀 MAEUM-4B Official Release
[Headline] [MAEUM-4B Basic Architecture Release] Sharing Benchmark Report (v1.0.0): Proving Inference Integrity through Architecture
[Body] I am excited to share the benchmark report conducted last December, which includes a comprehensive 68-item evaluation to validate the initial performance of the MAEUM-4B model. (Available for download now.)
My focus was not merely on inflating leaderboard metrics, but on demonstrating how a small-scale model can deliver "Truthful" responses within a production-ready architectural environment.
📊 v1.0.0 Key Metrics:
Reasoning (BBH): 100% (Outperforming frontier models like GPT-4o at 87.3%) *Note: BBH results are subject to environment-specific verification.
Truthfulness (TruthfulQA): 80% (Minimizing hallucinations and securing reliability)
Korean Proficiency (KMMLU/KoBEST): 96% / 94% (Optimized for Korean linguistic nuance)
🛠️ Architect’s Reflection: These results are the outcome of the initial prototype for my Runtime Bridge Architecture. This milestone confirms that high-performance inference is fully achievable within a compact, ~3GB standalone binary.
While these measurements date back to late last year, they served as the foundation for the newly released v1.0. This official version features enhanced macOS notarization and improved runtime stability.
I will continue to refine this system to be even more robust and user-friendly, moving beyond past figures to build truly reliable AI infrastructure.
#GenerativeAI #SystemArchitecture #LLM #Benchmark #MAEUM #OpenSource #InferenceOptimization #Gemma2 #TruthfulAI #GoogleCloud #FSA #SoftwareEngineering #AIInfrastructure #MachineLearning #TechReport
