The best local LLM for most people in 2026 is a mid-size open model (7B–14B) via Ollama — pick by RAM and use case.
The best local LLM is the one that fits your hardware and task — not the biggest model you can barely load. Use Ollama's library and the Open LLM Leaderboard as starting points, then test on your own prompts.
General chat: Llama 3.2, Mistral, or Qwen 2.5 (7B–14B).
Coding: Qwen 2.5 Coder or DeepSeek Coder.
Low RAM (8 GB): Phi-3 or Llama 3.2 3B — see Microsoft Phi model family for small-model design goals.
High-end workstation (32 GB+ VRAM): 32B–70B quantizations for near-cloud quality per llama.cpp quantization support.
Install Ollama, try two models on real work, and keep the one with the best speed-to-quality ratio.