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Gemma 4 now works on-device using React Native! You can now run Gemma 4 fully offline in your cross-platform apps with local hardware acceleration: ⚡ Vulkan delegate on Android ⚡ MLX delegate on Apple Silicon See Gemma 4's vision and tool-use capabilities in action, instantly reading a flyer and...

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111,611 просмотров • 4 дней назад •via X (Twitter)

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Gemma 🤝 React Native📱 Exciting news for mobile developers! We love seeing the community unlock new ways to build. You'll soon be able to run Gemma 4 completely on-device in React Native.
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Gemma 🤝 React Native📱 Exciting news for mobile developers! We love seeing the community unlock new ways to build. You'll soon be able to run Gemma 4 completely on-device in React Native.

Google Gemma

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Gemma 4 is now in Android Studio! You can use Android Studio Agent mode to develop features, vibe code Android apps, refactor your code, and fix bugs, all locally, and powered by Gemma!
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Gemma 4 is now in Android Studio! You can use Android Studio Agent mode to develop features, vibe code Android apps, refactor your code, and fix bugs, all locally, and powered by Gemma!

Omar Sanseviero

36,903 просмотров • 3 месяцев назад

Hermes Agent Nous Research + Gemma 4 26B Google DeepMind, fully working on local Mac 🤯: one prompt → full CLI app + tests + pytest passing tool calls firing back to back — local Claude Code vibes Gemma 4 MoE is fast AND smart, and tool calling just works — powered by Rapid-MLX which natively parses Gemma 4's tool format (no other local backend can do this yet) Two lines to try it: pip install rapid-mlx & rapid-mlx serve gemma-4-26b pip install hermes-agent && hermes @teknaborat @siaborisov #HermesAgent #Gemma4 #LocalLLM
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Hermes Agent Nous Research + Gemma 4 26B Google DeepMind, fully working on local Mac 🤯: one prompt → full CLI app + tests + pytest passing tool calls firing back to back — local Claude Code vibes Gemma 4 MoE is fast AND smart, and tool calling just works — powered by Rapid-MLX which natively parses Gemma 4's tool format (no other local backend can do this yet) Two lines to try it: pip install rapid-mlx & rapid-mlx serve gemma-4-26b pip install hermes-agent && hermes @teknaborat @siaborisov #HermesAgent #Gemma4 #LocalLLM

raullen

24,988 просмотров • 3 месяцев назад

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
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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

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Gemma 4... intelligence for everyone on device!
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Gemma 4... intelligence for everyone on device!

Logan Kilpatrick

335,344 просмотров • 17 дней назад

What happens when you combine voice, vision, and reasoning on-device? 🤔 Gemma 4 + a vision-language agent (VLA) running on NVIDIA Jetson Orin Nano shows how compact hardware can now handle real-world AI tasks using today’s open models—no cloud required. Get started:
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What happens when you combine voice, vision, and reasoning on-device? 🤔 Gemma 4 + a vision-language agent (VLA) running on NVIDIA Jetson Orin Nano shows how compact hardware can now handle real-world AI tasks using today’s open models—no cloud required. Get started:

NVIDIA Robotics

25,655 просмотров • 2 месяцев назад

🗓️ Release Week Recap Big week. mlx-audio and mlx-vlm are now among some of the fastest-growing OSS projects. Here’s what we shipped last week. Gemma 4 on Apple Silicon Two awesome releases by our partner Google DeepMind & Google Gemma : > Gemma 4 12B — their new dense, unified multimodal model. It uses an encoder free audio path and simplified vision encoder. > Gemma 4 QAT — quantization-aware training checkpoints, optimized to run locally on consumer GPUs and edge devices, compressing the model while preserving the quality you expect from Gemma 4. On the audio 🎧 side we added support for 15+ new TTS, ASR & VAD models, faster long-form transcription, and an expanded OpenAI-compatible audio server. All local on Apple Silicon. Huge thanks to every contributor and my co-maintainer Lucas Newman. 🙏🏽
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🗓️ Release Week Recap Big week. mlx-audio and mlx-vlm are now among some of the fastest-growing OSS projects. Here’s what we shipped last week. Gemma 4 on Apple Silicon Two awesome releases by our partner Google DeepMind & Google Gemma : > Gemma 4 12B — their new dense, unified multimodal model. It uses an encoder free audio path and simplified vision encoder. > Gemma 4 QAT — quantization-aware training checkpoints, optimized to run locally on consumer GPUs and edge devices, compressing the model while preserving the quality you expect from Gemma 4. On the audio 🎧 side we added support for 15+ new TTS, ASR & VAD models, faster long-form transcription, and an expanded OpenAI-compatible audio server. All local on Apple Silicon. Huge thanks to every contributor and my co-maintainer Lucas Newman. 🙏🏽

Prince Canuma

11,731 просмотров • 1 месяц назад

Unlock local, agentic workflows with Gemma 4 12B and Google AI Edge, directly on your laptop. Experience 100% on-device AI: • Generate code in AI Edge Gallery (new to Mac) • Dictate and edit text via AI Edge Eloquent (new to Mac) • Serve Gemma 4 12B locally with LiteRT-LM Dive in:
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Unlock local, agentic workflows with Gemma 4 12B and Google AI Edge, directly on your laptop. Experience 100% on-device AI: • Generate code in AI Edge Gallery (new to Mac) • Dictate and edit text via AI Edge Eloquent (new to Mac) • Serve Gemma 4 12B locally with LiteRT-LM Dive in:

Google for Developers

139,690 просмотров • 1 месяц назад

OPENCLAW CAN NOW RUN COMPLETELY FREE WITH OLLAMA + GEMMA 4. No API bills, no limits, and full local privacy on your own machine.
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OPENCLAW CAN NOW RUN COMPLETELY FREE WITH OLLAMA + GEMMA 4. No API bills, no limits, and full local privacy on your own machine.

0xMarioNawfal

74,896 просмотров • 3 месяцев назад

Run OpenClaw with Gemma 4 and Atomic Chat MacBook Air M4 · 16 GB RAM · 25 tok/s No cloud! No subscription fees! Open-source local model. Runs on your regular device
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Run OpenClaw with Gemma 4 and Atomic Chat MacBook Air M4 · 16 GB RAM · 25 tok/s No cloud! No subscription fees! Open-source local model. Runs on your regular device

atomic.chat

313,275 просмотров • 3 месяцев назад

QLoRA fine-tuning 4-bit Gemma 2B on iPhone 15 Pro with MLX Swift. A nice size for fine-tuning on device, getting 70-100 toks/sec depending on the batch. Guide here:
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QLoRA fine-tuning 4-bit Gemma 2B on iPhone 15 Pro with MLX Swift. A nice size for fine-tuning on device, getting 70-100 toks/sec depending on the batch. Guide here:

Awni Hannun

19,530 просмотров • 2 лет назад

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.
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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.

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Tools from AI SDK +  on-device LLM = 🤯 Access anything on your device with built-in LLM ⚡ Access contacts, calendar events, information about device & send emails 📩 Try it now with react-native-ai 🔥
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Tools from AI SDK +  on-device LLM = 🤯 Access anything on your device with built-in LLM ⚡ Access contacts, calendar events, information about device & send emails 📩 Try it now with react-native-ai 🔥

Szymon Rybczak

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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:
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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

278,212 просмотров • 2 месяцев назад

Apple Silicon + Gemma 4 fans: this is for you. Pico AI Server now supports continuous batching with MLX-Swift. 43 tok/s on 1 stream. 26 tok/s per stream on 2 concurrent streams. That’s 52 tok/s total. a 21% throughput gain on a six-year-old MacBook Pro M1 Max!
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Apple Silicon + Gemma 4 fans: this is for you. Pico AI Server now supports continuous batching with MLX-Swift. 43 tok/s on 1 stream. 26 tok/s per stream on 2 concurrent streams. That’s 52 tok/s total. a 21% throughput gain on a six-year-old MacBook Pro M1 Max!

Ronald Mannak

48,116 просмотров • 2 месяцев назад

Private AI browser with the OpenClaw agent on free local models Run your agent on Qwen, Gemma, or Nemotron directly in the browser Open source. Private. Runs on your local device
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Private AI browser with the OpenClaw agent on free local models Run your agent on Qwen, Gemma, or Nemotron directly in the browser Open source. Private. Runs on your local device

Sigma Browser

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to run gemma 4 on your phone without any login or internet: - download Google AI Edge Gallery - select Gemma 4 E2B/E4B - thats it I wish they give support to add other edge models in future like locallyAI here is a video of gemma 4 E4B in action at 13 tps on iphone 15 pro max
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to run gemma 4 on your phone without any login or internet: - download Google AI Edge Gallery - select Gemma 4 E2B/E4B - thats it I wish they give support to add other edge models in future like locallyAI here is a video of gemma 4 E4B in action at 13 tps on iphone 15 pro max

Harveen Singh Chadha

13,552 просмотров • 3 месяцев назад

Now you can use Gemma directly in the Gemini CLI! 🚀 v0.40.0 introduces experimental support for local Gemma models, starting with intelligent model routing (with full local execution on the roadmap!).
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Now you can use Gemma directly in the Gemini CLI! 🚀 v0.40.0 introduces experimental support for local Gemma models, starting with intelligent model routing (with full local execution on the roadmap!).

Google Gemma

88,687 просмотров • 2 месяцев назад

Offline vibe coding with Gemma 4. This open-source Electron app runs entirely on your Mac via Apple's MLX framework. No Wi-Fi required.
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Offline vibe coding with Gemma 4. This open-source Electron app runs entirely on your Mac via Apple's MLX framework. No Wi-Fi required.

Google Gemma

388,774 просмотров • 2 месяцев назад

Gemma 4 is now available in Android Studio! By running Gemma 4 locally on your machine you get access to AI code-assistance that doesn't require an internet connection or an API key for its core operations — so you’ll never run out of token quota →
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Gemma 4 is now available in Android Studio! By running Gemma 4 locally on your machine you get access to AI code-assistance that doesn't require an internet connection or an API key for its core operations — so you’ll never run out of token quota →

Android Studio

124,105 просмотров • 3 месяцев назад