#MLX Apple Silicon

28 related articles

Aug 3, 2026·2 min

Tomte: A Free Local AI Runtime Framework Built Specifically for Gemma

Tomte is a free local AI framework optimized for Apple Silicon to run Gemma models. Learn about its features, performance advantages, and how it compares to ChatGPT for private, fast local AI deployment.

Aug 2, 2026·2 min

Running Local LLMs on a 24GB Mac Mini: Model Selection & Speed Optimization Guide

24GB Mac Mini too slow for local LLMs? Learn why 14B models struggle, get 3B-8B model recommendations for Home Assistant, and discover Ollama speed optimization tips.

Jul 31, 2026·3 min

Practical Guide to Setting Up a Local AI Coding Environment on MacBook Pro M4

Complete guide to setting up a local AI coding environment on MacBook Pro M4, covering Ollama, MLX, Continue, Qwen3-Coder 30B configuration, and performance optimization strategies for 32GB RAM.

Jul 30, 2026·2 min

Speech To Markdown: Local AI Voice-to-Structured Markdown Note-Taking Tool

Speech To Markdown is a free macOS/iOS app that converts voice to structured Markdown notes using local LLMs. Fully offline, no API keys needed, with global hotkey dictation.

Jul 29, 2026·2 min

Qwen Scribe: A Deep Dive into the Local Speech Transcription Tool for Apple Silicon

Qwen Scribe is a local speech transcription tool optimized for Apple Silicon, running fully offline with Qwen models. Explore its technical features, privacy benefits, and comparison with Whisper.

Jul 29, 2026·2 min

Qwen Scribe: A Deep Dive into the Local Speech Transcription Tool for Apple Silicon

Qwen Scribe is a local speech transcription tool optimized for Apple Silicon, powered by Qwen models for fully offline use. Explore its technical features, privacy benefits, and comparison with Whisper.

Jul 29, 2026·2 min

Reverse Engineering Apple's ANE: Open-Source Project Enables On-Device Training on the Neural Engine

Deep dive into the maderix/ANE GitHub project that reverse engineers Apple's private APIs to enable neural network training on the Apple Neural Engine, exploring its technical approach, efficiency gains, compliance risks, and implications for on-device AI.

Jul 28, 2026·4 min

Colibri: Running a 744-Billion-Parameter LLM on an Ordinary Laptop

Colibri uses MoE hot-cold separation and 4-bit quantization to run 744B-parameter models like GLM 5.2 on consumer hardware. Learn about its three-tier memory architecture and speculative decoding.

Jul 28, 2026·3 min

Apple Silicon LLM Inference Speed Benchmarks: A Complete Guide to Local Large Model Performance on Mac

In-depth analysis of Apple Silicon local LLM inference speed benchmarks covering M-series memory bandwidth, model quantization, MLX framework optimization, and Mac configuration guidance.

Jul 19, 2026·3 min

Zero-Cost VibeCoding: Complete Guide to Connecting Local Ollama Models to Codex

Step-by-step guide to running local open-source models (Qwen3/Gemma) with Ollama, connecting to Codex via CC Switch for zero-token AI coding. Works on a 6GB VRAM laptop.

Jul 16, 2026·3 min

Bonsai-27B Extreme Quantization: Running 1-bit LLMs on Consumer Hardware

Bonsai-27B supports binary/ternary extreme quantization for 27B LLMs running on 8GB VRAM. Covers llama.cpp upstream progress, RTX 4060 benchmarks (30 t/s), and real-world limitations.

Jul 15, 2026·4 min

Running Qwen3.6 27B Locally on a Single RTX 3090: A Complete Guide to Cloud-Rivaling Performance

One used RTX 3090, one 16.8GB GGUF file, and Qwen3.6 27B runs locally offline. SWE-bench score of 77 rivals Claude Sonnet. MTP boosts speed to 59 tok/s. Full local AI coding assistant deployment guide.

Apple M7 Ultra Chip Leaked: Can 1.5TB …

Jul 14, 2026·2 min

Apple M7 Ultra Chip Leaked: Can 1.5TB Unified Memory Reshape Local AI Inference?

Reddit leaks suggest Apple's M7 Ultra chip could feature up to 1.5TB unified memory. We analyze the architecture, pricing debate, bandwidth limits, and ecosystem trade-offs for local LLM inference.

Jul 13, 2026·2 min

Local Image-to-3D on Apple Silicon: 20 Seconds, 2GB RAM — Modelr Open-Source App Tested

A developer ports Tencent's Hunyuan3D to Apple MLX. M4 Max benchmarks: shape generation in 20s, 5.6GB peak RAM. Quantized versions run on iPhone. Modelr is the first local image-to-3D app for Apple Silicon.

Jul 13, 2026·3 min

Ornith 1.0 9B Model Local Test: Tower Defense Game Exposes Small Model Coding Limitations

Hands-on test of Ornith 1.0 9B open model on a 16GB M4 Mac mini. A tower defense game task reveals the precision limits of small-parameter models vs 35B.

How Fixing Three Bugs Made Qwen3.5-122…

Jul 13, 2026·3 min

How Fixing Three Bugs Made Qwen3.5-122B Run Reliably on Mac Studio

A developer fixed three critical bugs to make Qwen3.5-122B run reliably as a daily driver on Mac Studio. Explore memory management, inference stability, and quantization precision.

Jul 12, 2026·3 min

Apple Executive Explains: Why the Mac Mini Has Become AI Developers' Top Choice for Local Inference

An Apple chip executive explains the surge in Mac Mini demand among AI developers: unified memory architecture breaks the VRAM bottleneck, superior energy efficiency enables long-term local deployment—the Mac Mini is becoming a top pick for local LLM inference.

Jul 9, 2026·6 min

Unsloth Major Update: DeepSeek-V4 Support and a Deep Dive into NVFP4 Quantized Export

Unsloth v0.1.481-beta adds full DeepSeek-V4-Flash support, NVFP4/FP8/imatrix GGUF quantized export, 1.3x faster GRPO, 3-5x faster MoE training, and an OpenAI-compatible API service in Studio.

Jul 7, 2026·3 min

Ornith 9B Tested: Can a 16GB Mac Mini Handle Local AI Coding?

Tested Ornith 9B on a 16GB M4 Mac Mini: LM Studio setup, tower defense game vs. 35B, and honest insights into small-model accuracy limits for local AI coding.

Jun 17, 2026·4 min

Anthropic Dynamic Workflows Explained: When to Use Them and Pitfalls to Avoid

Deep dive into Anthropic Dynamic Workflows: core mechanisms, differences from single Agent and Sub-Agent patterns, and a decision tree for when to use them vs. when to avoid burning tokens.