https://ai-blog.noorshomelab.dev/tags/gemma/Recent content in Gemma on AI VOIDHugoenTue, 19 May 2026 00:00:00 +0000https://ai-blog.noorshomelab.dev/tutorials/run-mtp-llms-llama-cpp-vllm/Tue, 19 May 2026 00:00:00 +0000https://ai-blog.noorshomelab.dev/tutorials/run-mtp-llms-llama-cpp-vllm/<p><strong>What you&rsquo;ll build:</strong> By the end of this tutorial, you will be able to set up and run Multi-Token Prediction (MTP) capable LLMs locally using <code>llama.cpp</code> and <code>vLLM</code>, compare their performance against standard generation, and understand fallback options. <strong>Time needed:</strong> ~90 minutes <strong>Prerequisites:</strong> Basic command-line interface (CLI) familiarity, Git installed, C++ compiler (GCC/Clang for Linux/macOS, MSVC for Windows), CMake installed, Python 3.9+ installed, NVIDIA GPU with CUDA (11.8+ recommended) or AMD GPU with ROCm, or Apple Silicon (Metal), Sufficient RAM (16GB+ recommended) and VRAM (8GB+ recommended) <strong>Version used:</strong> llama.cpp: main branch (post MTP merge); vLLM: latest stable/developer preview with MTP support</p>