ggerganov's kv-cache PR boosts Gemma-4 MTP performance in llama.cpp
New optimization avoids KV cell copies, merged into llama.cpp for faster inference.
Deep Dive
Improved Multi-Token Prediction (MTP) performance for Gemma-4. This change was merged yesterday and is available from version b9551 onward.
Key Points
- Pull request #24277 by ggerganov avoids copying KV cells during MTP inference in llama.cpp.
- Specifically optimized for Google's Gemma-4 model, merged yesterday and available from version b9551.
- Reduces memory bandwidth and improves throughput for multi-token prediction scenarios.
Why It Matters
Faster, memory-efficient inference for Gemma-4 on local hardware, enabling real-time applications.