# Local LLM Inference : llama.cpp, GGUF, Quantizations and GGML Explained

DevFeed: [Local LLM Inference : llama.cpp, GGUF, Quantizations and GGML Explained](<https://devfeed.tech/articles/local-llm-inference-llama-cpp-gguf-quantizations-and-ggml-explained-35012.md>)

Original publisher: [Read original article](<https://read.theaimerge.com/p/an-ai-engineers-guide-to-running>)

Author: Alex Razvant

Published: 2026-03-03T11:31:04Z

Content type: tutorial

Language: en

Sources: [Neural Bits](<https://devfeed.tech/sources/neural-bits.md>)

Topics: [llama.cpp](<https://devfeed.tech/topics/llama-cpp.md>), [ggml](<https://devfeed.tech/topics/ggml.md>), [Inference](<https://devfeed.tech/topics/inference.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [Local AI](<https://devfeed.tech/topics/local-ai.md>), [quantization](<https://devfeed.tech/topics/quantization.md>)

Tags: [backend](<https://devfeed.tech/tags/backend.md>), [cross-platform](<https://devfeed.tech/tags/cross-platform.md>), [efficiently](<https://devfeed.tech/tags/efficiently.md>), [embedded](<https://devfeed.tech/tags/embedded.md>), [format](<https://devfeed.tech/tags/format.md>), [ggml](<https://devfeed.tech/tags/ggml.md>), [inference](<https://devfeed.tech/tags/inference.md>), [llama-cpp](<https://devfeed.tech/tags/llama-cpp.md>), [llm](<https://devfeed.tech/tags/llm.md>), [local-llm](<https://devfeed.tech/tags/local-llm.md>), [model](<https://devfeed.tech/tags/model.md>)

## AI overview

A practical guide to local LLM inference with llama.cpp, explaining how the GGUF model format, GGML backend concepts, quantization, and inference workflows fit together for efficient execution on edge devices.

## Source excerpt

Learn how the llama.cpp runtime, GGML backend concepts, and GGUF model format fit together for fast local inference across devices.