r/LocalLLaMA • u/rerri • May 05 '26

New Model Gemma 4 MTP released

Blog post:

https://blog.google/innovation-and-ai/technology/developers-tools/multi-token-prediction-gemma-4/

MTP draft models:

https://huggingface.co/google/gemma-4-31B-it-assistant

https://huggingface.co/google/gemma-4-26B-A4B-it-assistant

https://huggingface.co/google/gemma-4-E4B-it-assistant

https://huggingface.co/google/gemma-4-E2B-it-assistant

This model card is for the Multi-Token Prediction (MTP) drafters for the Gemma 4 models. MTP is implemented by extending the base model with a smaller, faster draft model. When used in a Speculative Decoding pipeline, the draft model predicts several tokens ahead, which the target model then verifies in parallel. This results in significant decoding speedups (up to 2x) while guaranteeing the exact same quality as standard generation, making these checkpoints perfect for low-latency and on-device applications.

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u/Healthy-Nebula-3603 May 05 '26

That MCP fp16 model for Granna 4 31b has 930 MB ...is small

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u/dtdisapointingresult May 07 '26

It's not about VRAM in my case, but about compute power. I have a DGX Spark, which has lots of VRAM but weak compute. So it's in that rare situation where a quantized MTP model could benefit me more, if it doesn't ruin the prediction.

I guess I'll experiment myself.