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1. How to Run MTP Models: Multi-Token Prediction Guide

   This guide explains how to implement Multi-Token Prediction (MTP) models, such as Gemma 4 and Qwen3.6, to increase inference speeds on local hardware. By predicting multiple tokens at once rather than one per step, MTP can achieve speedups of approximately 1.4x to 2.2x when using GGUF files without losing accuracy. The guide covers requirements for VRAM headroom, specific implementations for Gemma 4 and Qwen models, and provides setup instructions for both Unsloth Studio and llama.cpp environments.
   
   - Accelerates inference through multi-token prediction
   - Compatible with Gemma 4 and Qwen3.6/3.5 models
   - Supported in Unsloth Studio and llama.cpp

   2026-06-12 Tags: multi-token prediction, mtp, gemma 4, qwen3.6, inference unsloth, llama.cpp, llm by klotz

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