Image created with gemini-3.1-flash-image-preview with claude-opus-4.7. Image prompt: Using the provided reference images, keep the authentic Sonoran Desert trail setting and the exact brown wooden post sign style with ranger typography, but change the header to bold ‘LOCAL’ with entries like ‘On-Device Loop → 0.1 mi’, ‘Offline Overlook → 0.3 mi’, and ‘No-Signal Saddle → 0.5 mi’, and place a small weathered handheld ham radio with a short antenna resting naturally on a volcanic boulder beside the sign post. Maintain photorealistic midday Arizona lighting, saguaro and palo verde, and the valley vista in the background, with no floating objects or extra text.
Gemma 4 just got even faster! We’re releasing Multi-Token Prediction (MTP) drafters that deliver up to a 3x speedup, without any degradation in output quality or reasoning logic.
https://x.com/googlegemma/status/2051713412431007808
Gemma 4 up to 3x faster, directly in your phone! 🚀 Check out the difference Speculative Decoding makes! Multi-Token Prediction (MTP) is supercharging inference speeds for Gemma 4.
https://x.com/googlegemma/status/2052468624657654194
Gemma 4: Now up to 3x Faster. ⚡ Same quality, way more speed. Our new MTP drafters allow Gemma 4 to predict multiple tokens at once, effectively tripling your output speed without compromising intelligence.
https://x.com/googledevs/status/2051700498328346945
I benchmarked Google’s new MTP for Gemma 4 31B using vLLM with 4 speculative tokens, a fairly conservative setup. Results: – Much higher throughput than Qwen3.6’s MTP – Lower latency too, helped by Gemma 4 generating fewer tokens – For coding tasks with reasoning enabled,
https://x.com/bnjmn_marie/status/2052286398707687650
Multi-token-prediction in Gemma 4
https://blog.google/innovation-and-ai/technology/developers-tools/multi-token-prediction-gemma-4/
Gemma-4 lands in Code Arena: Frontend Webdev and shifts the Pareto Frontier! Among open models, Gemma-4-31b ranks #13 and Gemma-4-26b-a4b ranks #17. Congrats to @GoogleDeepMind on shifting the frontier!
https://x.com/arena/status/2052061349312921686
🚀 Day-0 MTP support for Gemma4 now available at vLLM with ready-to-use docker image! ⚡️Enjoy up to 3x faster decoding performance to supercharge your development with zero quality degradation! Check out the full vLLM recipes for Gemma 4 model series👇
https://x.com/vllm_project/status/2051744111116574950
Excited to introduce Gemma 4 Multi-Token Prediction Drafters⚡️Accelerated inference right in your pockets – Up to a 3x speedup – Same quality guarantees – Available in your favorite open-source tools
https://x.com/osanseviero/status/2051695861801820475
Gemma 4 just got a massive speed-up with MTP drafters ⚡️ > speculative decoding (up to 3x tokens/sec improvement compared to normal Gemma-4 🔥) > identical reasoning, just faster > day-0 support in transformers, MLX, vLLM > A2.0 licensed 🤗
https://x.com/mervenoyann/status/2051702372339003841
Gemma 4 shifts Pareto Frontier on Code @arena.🔥 Among open models, Gemma-4-31b ranks #13 and Gemma-4-26b-a4b ranks #17. Pretty good for open models you can run a MBP. 👀
https://x.com/_philschmid/status/2052104144706588699
Make Gemma go brrrr!!! Multi-Token Prediction drafters are here for Gemma 4, making inference up to 3x faster with zero quality loss. ⚡️ – Up to 3x inference speedup – Zero degradation in output – Available for E2B and E4B versions – Apache 2.0 license
https://x.com/_philschmid/status/2051752856319926475
The DFlash draft model for Gemma-4 is one of the best draft models we’ve ever trained, with especially strong performance in coding and math. Try it out!
https://x.com/jianchen1799/status/2051902953376923946
I’m obsessed with running local LLMs. Been working with an engineer to build product(s) that are 100% local. A new model that came out recently instantly improved the quality of our product. We live in really interesting times.
https://x.com/hnshah/status/2051048988292641039
who’s adding this to reachy mini?
https://x.com/ClementDelangue/status/2052449977725534363
Leave a Reply