Ollama turned running a local LLM from a weekend project into a single command. Here’s exactly what it is, how it works under the hood, and why it became the default in 2026.
Four tools, four jobs. Ollama and LM Studio are experience layers, llama.cpp is the engine, and vLLM is a production server. Here’s exactly which one to pick — and when.
The number-one reason a model fails to run isn’t a bug — it’s memory. Here’s exactly how much RAM and VRAM each Ollama model size needs, and a formula to know before you download.
Installing Ollama takes about two minutes on any OS. Here are the exact steps for Mac, Windows, and Linux, plus how to run your first model and fix the errors people actually hit.
Ollama can run 100+ models, but you only need a handful. Here are the best local LLMs in 2026 ranked by what you’re actually trying to do — and the VRAM each one needs.
A local coding model means your code never leaves your machine. Here are the best ones in 2026 — ranked by SWE-bench, hardware needs, and how they handle real refactors.
GLM-5.1 is the Claude alternative that costs $3 a month and was trained without any Nvidia hardware. Zhipu’s model is a geopolitical statement as much as a technical one.
Moonshot’s Kimi K2.6 did something no open model had done before: beat a frontier US model at real-world coding. Here’s how the Beijing startup became the agent-coding leader.
DeepSeek went from unknown quant-fund side project to the model that reset global AI pricing. Here’s what DeepSeek V4 actually is in 2026, and the honest case for and against using it.
ByteDance turned its TikTok-scale distribution into the world’s 4th-largest AI app. Doubao isn’t chasing benchmarks — it’s chasing hundreds of millions of users. Here’s how.
Alibaba’s Qwen is the quiet giant of Chinese AI — the broadest model family in existence, an open-weight ecosystem rivaling Meta’s, and a flagship that just cracked the global top 10.
On-device AI runs intelligent features directly on your phone — fast, private, and offline. Here are the best phones for on-device AI in 2026.
