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Llama.cpp Tutorial 2026: Run GGUF Models Locally on CPU and GPU
by anju-kushwaha·Apr 18, 2026·13 points·4 comments
AI Analysis
●MidNiche Gem
Useful tutorial, but llama.cpp docs and Ollama already cover most of this.
Strengths
- •Covers all four backends (CPU, CUDA, ROCm, Metal) from one codebase
- •Explains OpenAI-compatible HTTP API via llama-server for zero code changes
- •Details specific flags like --n-gpu-layers and --cache-type-k for tuning
Weaknesses
- •Tutorial content, not a product — dozens of similar guides already exist
- •Future-dated (2026) raises questions about actual testing and accuracy
Category
Target Audience
Developers running local LLMs who need fine-grained inference control
Similar To
Ollama docs · llama.cpp GitHub README · LM Studio guides
Post Description
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...
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