Using Gemma 4 E2B for audio transcription on my... Pixel 10 Pro. It support max 30 sec for now.show more

Google’s Gemma 4 E2B running on-device on iPhone 17... Pro Gemma 4 is built from the same research as Gemini 3, has image understanding capabilities and can reason if needed Running at ~40tk/s with MLX optimized for Apple Siliconshow more

Real-time conversations for game-time decisions on #Pixel10 Share your... 📷 in Google Gemini Live & get a highlighted solution for even more precise responses—like the perfect ingredient swap 🍽️¹ Check it out on Pixel 10, Pixel 10 Pro, & Pixel 10 Pro Fold:show more

POV: You’re using Pro Res Zoom on the new... Pixel 10 Pro XL 📸show more

Google's Gemma 4 26B A4B running on MacBook Pro... M5 Max 100% native Swift Achieving over 100tk/s with Apple MLX frameworkshow more

Portal: Remote Play is now on Vision Pro! Stream... your console games with 4K resolution, HDR, spatial audio, and DualSense support. Smooth gameplay and upscaling make it a solid option for remote play built specifically for visionOS.show more

How much faster is the new MacBook Pro for... AI inference? M4 Max is 27% faster with 72 tok/sec compared to 56 tok/sec of the M3 Max with MLX running Gemma 2 9B (4bit). The 27% speedup is the same with Llama-3.2-1b, Llama-3.2-3b and others. Next up: EXO Labs M4 cluster.show more

Harshly 💩 on the Pixel 10 Pro for 128gb... vs a slight mention for the iPhone 16 Pro. I swear it’s a hobby to blast Google for everything for clicks while never really criticizing Apple.show more

Ok #TeamPixel, you asked for it... Circle to Search... is now on #Pixel6, Pixel 6 Pro, #Pixel6a, #Pixel7a, and coming soon to #PixelFold and #PixelTablet!¹ What will you search for first? 🤔show more

Veo 3.1 landed in Krea. this new model supports... image references, frame interpolations, and comes with improved audio generation. we're offering 75% discounts for all Pro and Max users, try it now!show more

Learn how to get the new Google Pixel 10... Pro for free on the wireless network backed by the AT&T Guarantee.show more

Thank you for your support, Gooners ❤️ Shot on... Google Pixel 🤳show more

The demo weren’t ready for man to stack 10... racks, Got man lagging on the 16 pro max.show more

Price Alerts for Indian stocks are now available to... all Perplexity Pro and Max users in India! Currently supported on web and mobile web. Mobile app support and availability for free users coming shortly! 🇮🇳show more

My final editing pack is out now for only... £10🎉 Includes: -All 450 of my project files -Practice clips from all the top pros -All my presets for Premiere Pro and Vegas -In depth tutorials on how to edit like me Free code every 30 RTs🎁 Buy it here:show more

max: “this is being streamed on an ipad btw”... lando: “but if you want something even better buy a google pixel pro 10 plus” he’s literally every sponsors’ dreamshow more

Olivia Rodrigo’s anthemic music video for “get him back!”... shot entirely on the new iPhone 15 Pro using features like Pro Res 4K Log and USB-C external drive compatibility. And 5x zoom on iPhone 15 Pro Max. Available for pre-order 9/15.show more

CLOOLESS PIXEL SET IS OUT NOW! Don’t forget to... use Code ‘Cloo’ for 10% off!show more

'' The FizzyFaz ''🧃 Animation Release on |●atreon!🍿[ 4:30... min] I appreciate the support for this small project 🧡 You can now go see it! ✨ #FNAF #fnafsb #montygator #montgomerygator #roxannewolf #glamrockfreddy #fnafsecuritybreachshow more

Run Gemma 4 26b MTP on 8 GB VRAM... GPUs at 25+ tokens/second. Flags included! local llm space is moving at terminal velocity. only 3 days ago google released gemma 4 26b a4b qat quants. more efficient than before, ran on 8gb vram at 20 tok/sec. and now just a few hours ago, mainline llama.cpp merged a massive update and we just shattered our own record. decode throughput went 25-40% up on the same 8 GB VRAM setup! Before MTP: 20 tps -> After MTP: 28 tps! llama.cpp just officially merged PR #23398 ("add Gemma4 MTP"), bringing native Multi-Token Prediction (MTP) support to Gemma 4 models. By running speculative drafting on the same 8GB VRAM RTX 4060 setup, my decode throughput on a 64k context instantly leaped to a blistering 25–27 tokens/sec thats 25-30% increase with the same hardware. Here is the architectural catch you need to know: Unlike the Qwen 3.5 and 3.6 series, which bake the MTP heads directly into the base GGUF, the Gemma 4 MTP head is not built in. You must download a separate, specialized MTP drafter GGUF (the assistant model) to act as the speculator. (I've dropped the download link in the replies). copy and try the exact flags: -m gemma-4-26B-A4B-it-qat-UD-Q4_K_XL.gguf --spec-type draft-mtp --spec-draft-n-max 6 --spec-draft-p-min 0.7 --spec-draft-model gemma-4-26b-A4B-it-assistant-Q4_0.gguf -c 64000 -v n-max 4 and p-min 0.7 is also worth checking out. benchmark on your setup and workflow. if you have a single 8 gb vram nvidia rtx 4060, 3060, 3070, 2080, 2070, grab the MTP drafter GGUF link in the comments and try it yourself. Check it out even if you have asmaller or a larger gpu, such as a single rtx 3090, 4090, 3060, 2060. MTP works for all gemma 4 sizes such as gemma 4 12b, gemma 4 31b etc. but remember to grab the correct mtp draft assistant models respectively. what are you benchmarking todayshow more

FLUX.2 Max is now LIVE in LTX The highest... quality version of FLUX.2, built for shots where every pixel matters. Here is what it unlocks 🧵 1/6show more