--- title: "Running Gemma 4 Locally: Ollama, llama.cpp, MLX, and More" url: https://daily.dev/posts/running-gemma-4-locally-ollama-llama-cpp-mlx-and-more-5ebg99yft source_url: https://pyimagesearch.com/2026/07/20/running-gemma-4-locally-ollama-llama-cpp-mlx-and-more type: article source: "PyImageSearch" published: 2026-07-20T12:51:23.143Z updated: 2026-07-20T19:03:49.024Z tags: ["ollama", "gemma", "llama-cpp"] reading_time: 41 upvotes: 0 comments: 0 language: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Running Gemma 4 Locally: Ollama, llama.cpp, MLX, and More **[PyImageSearch](https://daily.dev/sources/pyimagesearch)** · 41 min read · 0 upvotes · 0 comments ## Summary A practical guide to running Google's Gemma 4 model locally using five different runtimes: Ollama (simple CLI setup with OpenAI-compatible API), llama.cpp (GGUF-based inference with fine-grained control), MLX (optimized for Apple Silicon), LM Studio (graphical desktop interface), and Transformers.js (JavaScript/Node.js with ONNX models). Each section covers installation, model download, text and multimodal inference, and API server setup. A comparison section helps developers choose the right runtime based on their workflow, hardware, and use case. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Gemma 3 Local LLM Deployment: Google's AI for Developers \(2026\)](https://daily.dev/posts/gemma-3-local-llm-deployment-google-s-ai-for-developers-2026--any6cycmf) · SitePoint · 0 upvotes · 0 comments --- Tags: [#ollama](https://daily.dev/tags/ollama), [#gemma](https://daily.dev/tags/gemma), [#llama-cpp](https://daily.dev/tags/llama-cpp) [View this post on daily.dev](https://daily.dev/posts/running-gemma-4-locally-ollama-llama-cpp-mlx-and-more-5ebg99yft)