Software
Local LLMs vs ChatGPT: An Honest Comparison
ChatGPT has web search, voice mode, and GPT-5.2. Local LLMs have privacy, no subscriptions, and no rate limits. Here's when each one wins, what the cost math actually looks like, and why most power users run both.
WSL2 for Local AI: The Complete Windows Setup Guide
Install WSL2, configure GPU passthrough, set up Ollama and llama.cpp with CUDA, and optimize memory for LLM inference. Step-by-step for Windows 11.
Ollama 0.16-0.17: Everything That Changed in Two Weeks
40% faster prompt processing, KV cache quantization, OpenClaw one-command setup, image generation, web search API, MLX runner expansion, RDNA 4 support. Here's every meaningful change from Ollama 0.16 through 0.17.
llama.cpp Just Got a New Home: What the Hugging Face Acquisition Means for Local AI
ggml.ai — the team behind llama.cpp — is joining Hugging Face. Open source stays open, Georgi keeps the wheel. What changed, what didn't, and what to watch.
Qwen2.5-VL in LM Studio — Vision Model Setup with mmproj
Step-by-step setup for Qwen2.5-VL vision models in LM Studio. Download both files (model + mmproj), load, drag in an image, and start reading documents locally.
How to Update Models in Ollama — Keep Your Local LLMs Current
Ollama doesn't auto-update models. Run ollama pull model:tag to grab the latest version — only changed layers download. Use ollama show to check what you have, and a simple loop to update everything at once.
ExLlamaV2 vs llama.cpp: Actual Speed Benchmarks and When to Use Each
ExLlamaV2 hits 57 tok/s where llama.cpp hits 31 — same model, same GPU. Benchmarks at every VRAM tier, EXL2 vs GGUF quality, and setup guides.
Managing Multiple Models in Ollama: Disk Space, Switching, and Organization
Five 7B models eat 20GB before you notice. Check what's using space with ollama list, clean up with ollama rm, and set OLLAMA_KEEP_ALIVE to control memory. A practical cleanup and organization guide.
AnythingLLM Setup Guide: Chat With Your Documents Locally
Upload PDFs, paste URLs, and chat with your files — no coding, no cloud. AnythingLLM connects to Ollama in 5 minutes with point-and-click RAG on 54K+ GitHub stars.
Text Generation WebUI (Oobabooga) Guide
Install text-generation-webui in 10 minutes. GPU offloading, GGUF/GPTQ/EXL2 model loading, extensions, and the settings most guides skip. Practical setup.
Local LLMs vs Claude: When Each Actually Wins
Qwen 3 32B matches Claude on daily tasks at zero marginal cost. Claude still wins on 200K-token documents and multi-step debugging. Benchmarks, pricing, and when to use each.
llama.cpp vs Ollama vs vLLM: When to Use Each
Ollama wraps llama.cpp for easy local use. vLLM handles 4x the concurrent load on the same hardware. Benchmarks, memory use, and a clear decision framework.
Open WebUI Setup Guide: ChatGPT UI for Local AI
1 Docker command gives you a ChatGPT-like interface for any Ollama model. 120K+ GitHub stars, built-in RAG, voice chat, and multi-model switching—all running locally.
LM Studio Tips & Tricks: Hidden Features
Speculative decoding for 20-50% faster output, MLX that's 21-87% faster on Mac, a built-in OpenAI-compatible API, and the GPU offload settings most users miss.
Run Your First Local LLM in 15 Minutes
Install Ollama, pull a model, and chat with AI offline—all in 15 minutes. Works on any Mac, Windows, or Linux machine with 8GB RAM. No accounts, no API keys, no fees.
Ollama vs LM Studio: Which Should You Use for Local AI?
Ollama gives you a CLI with 100+ models and an OpenAI-compatible API. LM Studio gives you a visual GUI with one-click downloads. Most power users run both—here's when to use each.