5 Popular Ways to Run LLMs Locally: Ollama, LM Studio, and More
goyalshaliniuk · x · 2026-09-02
This post outlines 5 popular methods for running Large Language Models (LLMs) locally, offering privacy, control, and cost savings without cloud API calls.
- Ollama: Easiest for beginners to run models like Llama, Qwen, and Gemma with simple commands.
- LM Studio: GUI-based tool for downloading models, chatting locally, and running an OpenAI-compatible API.
- llama.cpp: Lightweight and flexible engine for running quantized LLMs efficiently across CPUs and GPUs.
- vLLM: High-throughput and memory-efficient engine designed for fast LLM inference and serving.
- GPT4All: Desktop application to interact with local LLMs offline, ideal for private experimentation.
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