Open Source

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.

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