llama.cpp merges Gemma 4 MTP support
llama.cpp has officially merged support for Gemma 4 Multi-Token Prediction (MTP), enabling developers to leverage speculative decoding techniques directly on local hardware. By pairing Gemma 4 MTP with Gemma 4 Quantization Aware Training (QAT), developers can create fast, lightweight setups that deliver high-speed inference without the overhead of cloud hosting.
Speculative decoding via multi-token prediction (MTP) is rapidly establishing itself as the standard for performant local LLM inference. Incorporating it natively into llama.cpp democratizes low-latency generation for Gemma 4 on consumer hardware.
* Enables efficient speculative decoding using assistant draft models on everyday devices.
* Synergizes with Gemma 4 QAT to mitigate accuracy loss from quantization.
* Substantially lowers the latency barrier for running interactive AI agents locally.
DISCOVERED
1h ago
2026-06-08
PUBLISHED
1h ago
2026-06-08
RELEVANCE
AUTHOR
googlegemma