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Introducing the Fast Gemma Challenge with Hugging Face Over the next few days, dozens of agents will collaborate to make Gemma 4 E4B even faster!

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Google Gemma

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172,730 görüntüleme • 2 ay önce •via X (Twitter)

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Hugging Face Gemma Challenge results are in! 📈 Over 6 days, more than 100 AI agents and humans collaborated to make Gemma 4 inference 5x faster on a single NVIDIA A10G GPU. - Fastest result: 491.8 TPS (fastest overall, but resulted in a drop in model quality in other areas) - Fastest lossless: 315 TPS A great example of what humans and agents can achieve when they work together.
0:31

Hugging Face Gemma Challenge results are in! 📈 Over 6 days, more than 100 AI agents and humans collaborated to make Gemma 4 inference 5x faster on a single NVIDIA A10G GPU. - Fastest result: 491.8 TPS (fastest overall, but resulted in a drop in model quality in other areas) - Fastest lossless: 315 TPS A great example of what humans and agents can achieve when they work together.

Google Gemma

388,889 görüntüleme • 1 ay önce

this dude created a Gemma 4 that is 6X faster than Google's version! Gemma 4 is notorious for: • being the most optimized free open source local AI • that works with even old laptops and smartphones • and now it's insanely fast 6X Dflash Gemma 4:
0:26

this dude created a Gemma 4 that is 6X faster than Google's version! Gemma 4 is notorious for: • being the most optimized free open source local AI • that works with even old laptops and smartphones • and now it's insanely fast 6X Dflash Gemma 4:

Meta Alchemist

278,341 görüntüleme • 3 ay önce

We launched an agent collaboration with a simple task: make Gemma 4 faster. Over 100 agents from all over the world joined, exchanged 1000+ messages and submitted 450 results. A week of collaboration later the throughput went from 100 tok/s to over 500 tok/s.
0:31

We launched an agent collaboration with a simple task: make Gemma 4 faster. Over 100 agents from all over the world joined, exchanged 1000+ messages and submitted 450 results. A week of collaboration later the throughput went from 100 tok/s to over 500 tok/s.

Leandro von Werra

229,596 görüntüleme • 2 ay önce

Watch Gemma-4-E4B casually identify sea animals by classifying images in a single agentic session using its vision capabilities. (impressive for a 4B model 🚀) I'm convinced: the agents of tomorrow are local, free, fast, and run on every computer!
0:25

Watch Gemma-4-E4B casually identify sea animals by classifying images in a single agentic session using its vision capabilities. (impressive for a 4B model 🚀) I'm convinced: the agents of tomorrow are local, free, fast, and run on every computer!

Victor M

171,614 görüntüleme • 4 ay önce

Friendly reminder that Google has an official app to run Gemma 4 on your phone. - 100% open source - Fully offline and private - Multimodal with text/audio/image - Works with Gemma E4B and E2B And the app is available on both iOS and Android. Steps and download below
0:36

Friendly reminder that Google has an official app to run Gemma 4 on your phone. - 100% open source - Fully offline and private - Multimodal with text/audio/image - Works with Gemma E4B and E2B And the app is available on both iOS and Android. Steps and download below

Paul Couvert

726,278 görüntüleme • 4 ay önce

Introducing Browser Pools — instant browsers with the logins, cookies, and extensions your agents depend on. Designed to make using Kernel even faster.
0:57

Introducing Browser Pools — instant browsers with the logins, cookies, and extensions your agents depend on. Designed to make using Kernel even faster.

KERNEL

62,014 görüntüleme • 7 ay önce

MLX: Tom Riddle's diary running locally on an iPad powered by Apple MLX with Gemma 4 E4B behind the scene. Children can go crazy for something like this, no? 🔥
2:49

MLX: Tom Riddle's diary running locally on an iPad powered by Apple MLX with Gemma 4 E4B behind the scene. Children can go crazy for something like this, no? 🔥

Ivan Fioravanti ᯅ

31,105 görüntüleme • 1 ay önce

Gemma 4 just hit 200M downloads in only 2.5 months! For context, total downloads across the entire Gemma family of models were at 100M when we launched Gemma 3. The community's acceleration is incredible. Thank you to everyone building with Gemma. Watch how developers are driving real-world impact:
4:07

Gemma 4 just hit 200M downloads in only 2.5 months! For context, total downloads across the entire Gemma family of models were at 100M when we launched Gemma 3. The community's acceleration is incredible. Thank you to everyone building with Gemma. Watch how developers are driving real-world impact:

Google Gemma

228,057 görüntüleme • 1 ay önce

Today, we’re launching Gemma 4, our most intelligent open models to date. Built with the same breakthrough technology as Gemini 3, Gemma 4 brings advanced reasoning to your personal hardware and devices. Here’s what Gemma 4 unlocks for developers: — Intelligence-per-parameter: Our 31B (Dense) and 26B (MoE) models deliver state-of-the-art performance for their size, outcompeting models 20x their size on Arena.ai — Commercial flexibility: Released under a permissive Apache 2.0 license for complete developer flexibility and digital sovereignty — Agentic workflows: Native support for function-calling and structured JSON output allows you to build reliable, autonomous agents — Multimodal edge AI: The E2B and E4B models bring native vision, audio, and low latency to mobile and IoT devices — Long-context reasoning: Up to 256K context windows allow you to process entire repositories or large documents in a single prompt Whether you're building global applications in 140+ languages or local-first AI code assistants, Gemma 4 is built to be your foundation. Explore in Google AI Studio or download the weights on Hugging Face, Kaggle, and ollama.
2:51

Today, we’re launching Gemma 4, our most intelligent open models to date. Built with the same breakthrough technology as Gemini 3, Gemma 4 brings advanced reasoning to your personal hardware and devices. Here’s what Gemma 4 unlocks for developers: — Intelligence-per-parameter: Our 31B (Dense) and 26B (MoE) models deliver state-of-the-art performance for their size, outcompeting models 20x their size on Arena.ai — Commercial flexibility: Released under a permissive Apache 2.0 license for complete developer flexibility and digital sovereignty — Agentic workflows: Native support for function-calling and structured JSON output allows you to build reliable, autonomous agents — Multimodal edge AI: The E2B and E4B models bring native vision, audio, and low latency to mobile and IoT devices — Long-context reasoning: Up to 256K context windows allow you to process entire repositories or large documents in a single prompt Whether you're building global applications in 140+ languages or local-first AI code assistants, Gemma 4 is built to be your foundation. Explore in Google AI Studio or download the weights on Hugging Face, Kaggle, and ollama.

Google AI

1,670,290 görüntüleme • 4 ay önce

Every millisecond counts for voice agents. Introducing Gemma 4 31B on LiveKit Inference! Optimized for real-time voice agents: - 354ms time to first audio - 192ms time to first token - Beats GPT-4.1 in agentic tool use (31B achieves 76.9% on tau2bench) Fast, capable, and efficient!
0:57

Every millisecond counts for voice agents. Introducing Gemma 4 31B on LiveKit Inference! Optimized for real-time voice agents: - 354ms time to first audio - 192ms time to first token - Beats GPT-4.1 in agentic tool use (31B achieves 76.9% on tau2bench) Fast, capable, and efficient!

Google Gemma

222,649 görüntüleme • 1 ay önce

Introducing Zoho Projects Infinity. The next evolution of project management designed to help teams plan and execute faster, collaborate better, and deliver the impossible.
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Introducing Zoho Projects Infinity. The next evolution of project management designed to help teams plan and execute faster, collaborate better, and deliver the impossible.

Zoho Projects

100,690,034 görüntüleme • 4 ay önce

Voice AI without the wait! ⏱️ Thanks to Hugging Face and Cerebras, developers can now use the Gemma 4 31B model as the brain for voice AI at ultra-fast inference speeds. Add it to a fully open-source, cascaded speech-to-speech stack that can be used to power existing voice apps! 🗣️
1:46

Voice AI without the wait! ⏱️ Thanks to Hugging Face and Cerebras, developers can now use the Gemma 4 31B model as the brain for voice AI at ultra-fast inference speeds. Add it to a fully open-source, cascaded speech-to-speech stack that can be used to power existing voice apps! 🗣️

Google Gemma

160,825 görüntüleme • 1 ay önce

Studying offline 3D vibe-coding with Three.js: - Gemma 4 E4B runs on-device via llama.cpp (or in-browser via transformers.js, ~13x slower). - Scene renders through WebGPU→Dawn→Metal. - A grammar + verifier outside the weights makes the model reliable at Three.js.
0:23

Studying offline 3D vibe-coding with Three.js: - Gemma 4 E4B runs on-device via llama.cpp (or in-browser via transformers.js, ~13x slower). - Scene renders through WebGPU→Dawn→Metal. - A grammar + verifier outside the weights makes the model reliable at Three.js.

Renaud

13,101 görüntüleme • 2 ay önce

Gemma O’Neill just had a zoom call with Meghan, Duchess of Sussex! “She was just so divine, so beautiful. I just immediately loved chatting to her” The Duchess will join Gemma and “Her best life” community at a retreat next week in Australia 🇦🇺. #HarryandMeghaninAustralia
1:30

Gemma O’Neill just had a zoom call with Meghan, Duchess of Sussex! “She was just so divine, so beautiful. I just immediately loved chatting to her” The Duchess will join Gemma and “Her best life” community at a retreat next week in Australia 🇦🇺. #HarryandMeghaninAustralia

ChrisBaronSmith

30,980 görüntüleme • 4 ay önce

Introducing local Reachy Mini conversations: free chats forever! So fast that we had to hardcode delays to stop it from interrupting you mid-sentence. We built an open-source Realtime API powered by llama.cpp: Parakeet -> Gemma 4 E4B -> Qwen3TTS Run it anywhere you run local LMs. Video shows DGX Spark and a 36GB M3 Pro MacBook. Blog:
0:59

Introducing local Reachy Mini conversations: free chats forever! So fast that we had to hardcode delays to stop it from interrupting you mid-sentence. We built an open-source Realtime API powered by llama.cpp: Parakeet -> Gemma 4 E4B -> Qwen3TTS Run it anywhere you run local LMs. Video shows DGX Spark and a 36GB M3 Pro MacBook. Blog:

Andi Marafioti

76,922 görüntüleme • 2 ay önce

Know someone who needs to get up to speed with Gemma 4? Send them this 2 minute crash course! With 5 different model sizes (E2B all the way to 31B) and 4 unique architectures, Gemma 4 is a great model for your local use cases.
2:21

Know someone who needs to get up to speed with Gemma 4? Send them this 2 minute crash course! With 5 different model sizes (E2B all the way to 31B) and 4 unique architectures, Gemma 4 is a great model for your local use cases.

Google Gemma

50,757 görüntüleme • 23 gün önce

We didn't just make local models faster. We made them dependable at tool calling. Gemma 4 12B now picks the right tool and runs it correctly, on-device and ~60% faster. Small models just got serious.
0:24

We didn't just make local models faster. We made them dependable at tool calling. Gemma 4 12B now picks the right tool and runs it correctly, on-device and ~60% faster. Small models just got serious.

Osaurus

48,834 görüntüleme • 1 ay önce

I just fine-tuned Google DeepMind's "gemma-3-270m" and it's ready for secure deployment in production! → Imported and fine-tuned using Hugging Face transformers on M4 → Packaged and versioned with KitOps → Pushed to Jozu Hub for production use and deployments All within just a few minutes🔥 "gemma-3-270m" is lightweight, powerful, and designed for production-grade systems
2:56

I just fine-tuned Google DeepMind's "gemma-3-270m" and it's ready for secure deployment in production! → Imported and fine-tuned using Hugging Face transformers on M4 → Packaged and versioned with KitOps → Pushed to Jozu Hub for production use and deployments All within just a few minutes🔥 "gemma-3-270m" is lightweight, powerful, and designed for production-grade systems

Mr. Ånand

53,839 görüntüleme • 1 yıl önce