Search
Found 6 articles
Comparison of Other Inference Frameworks: A Complete Guide to llama.cpp, MLX, and ExLlamaV2
An in-depth comparison of three major local LLM inference frameworks: llama.cpp (GGUF), Apple MLX, and ExLlamaV2, covering installation, performance, and use cases.
LM Studio Installation and Usage Guide: GUI Local LLM Management
Complete LM Studio guide: download, manage, and run local LLMs on Mac through a graphical interface, supporting GGUF and MLX formats and providing an OpenAI-compatible API.
oMLX + Qwen3 Coder Next Local Deployment Guide (Replacing Ollama)
Running Qwen3 Coder Next natively on M3 Ultra with oMLX, fully replacing Ollama: why drop Ollama, oMLX advantages, installation steps.
oMLX Installation and Usage Guide: Running MLX Models Natively on Apple Silicon
Complete oMLX installation and usage guide: running MLX format models natively on M3 Ultra, covering installation, model import, performance comparison, and optimal configuration.
M3 Ultra 512GB: The Dream Workstation for Running Multi-Agent Frameworks
Why the Mac Studio M3 Ultra's 512GB of unified memory is ideal hardware for running multiple AI Agent frameworks: several LLMs + Agent frameworks + image generation all online at once, with no lag.
Ollama: The Best Way to Run LLMs Locally
Ollama lets you run open source models like Llama, Mistral, and Qwen on Mac/Windows/Linux with one click. It is completely offline, free, and privacy safe.