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Dev tools · April 18, 2026

LC

Llama.cpp Tutorial 2026: Run GGUF Models Locally on CPU and GPU

Complete llama.cpp tutorial for 2026. Install, compile with CUDA/Metal, run GGUF models, tune all inference flags, use the API server, speculative decoding, and benchmark your hardware. https://vucense.com/dev-corner/llama-cpp-tutorial-run-gguf-m...

Llama.cpp Tutorial 2026: Run GGUF Models Locally on CPU and GPU launched on April 18, 2026 with 13 votes, #1,135 of 21,248 launches that month and more than 90% of that year's launches.

Alternativestop 5% of April 2026

In plain words

Llama.cpp Tutorial 2026 is a developer guide for running large language models locally using the llama.cpp framework. It covers installation, compilation with CUDA and Metal support, executing GGUF format models, configuring inference parameters, operating an API server, implementing speculative decoding, and benchmarking system performance. The resource targets developers who want to deploy language models on their own hardware without relying on cloud services.

written from the facts on this page · September 2026

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