llama.cpp adds MTP support for Qwen3.6 models, boosting inference speed
Multi-Token Prediction reduces decoding steps by predicting 4+ tokens at once
Deep Dive
Two new GGUF model repositories for Qwen3.6 with MTP support are now available on HuggingFace, as shared on r/LocalLLaMA.
Key Points
- MTP support enables 4–5 token predictions per step, reducing latency by 50–70%
- Two GGUF models available: 27B dense and 35B MoE (3B active) with MTP heads
- Runs on both CPU and GPU via llama.cpp; no proprietary hardware required
Why It Matters
MTP makes large local models practical for real-time apps, lowering deployment cost and latency on consumer hardware.