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Gemma 4
gemma-4ai-agentsmultimodal-aimobile-ai
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Google releases Gemma 4 open models

Gemma 4 delivers maximum compute and memory efficiency for mobile and IoT devices, enhancing intelligence in these platforms. It supports the development of autonomous agents capable of planning, navigating apps, and completing tasks, while also offering strong audio and visual understanding for rich multimodal applications and multilingual experiences that extend beyond simple translation.

deepmind.google

🔥🔥🔥🔥🔥

1 min

4/2/2026

XユーザーのAnemllさん: 「Running 400B model on iPhone! 0.6 t/s Credit @danveloper @alexintosh @danpacary @anemll https://t.co/LZCLqsvSUP」 / XNews

iPhone 17 Pro Demonstrated Running a 400B LLM

Anemll successfully runs a 400 billion parameter model on an iPhone, achieving a performance of 0.6 tokens per second. The post has garnered over 113,000 views and numerous replies.

twitter.com

🔥🔥🔥🔥🔥

1 min

3/23/2026

Google releases Gemma 4 open models

Gemma 4 delivers maximum compute and memory efficiency for mobile and IoT devices, enhancing intelligence in these platforms. It supports the development of autonomous agents capable of planning, navigating apps, and completing tasks, while also offering strong audio and visual understanding for rich multimodal applications and multilingual experiences that extend beyond simple translation.

deepmind.google

🔥🔥🔥🔥🔥

1 min

4/2/2026

iPhone 17 Pro Demonstrated Running a 400B LLM

Anemll successfully runs a 400 billion parameter model on an iPhone, achieving a performance of 0.6 tokens per second. The post has garnered over 113,000 views and numerous replies.

twitter.com

🔥🔥🔥🔥🔥

1 min

3/23/2026

Google releases Gemma 4 open models

Gemma 4 delivers maximum compute and memory efficiency for mobile and IoT devices, enhancing intelligence in these platforms. It supports the development of autonomous agents capable of planning, navigating apps, and completing tasks, while also offering strong audio and visual understanding for rich multimodal applications and multilingual experiences that extend beyond simple translation.

deepmind.google

🔥🔥🔥🔥🔥

1 min

4/2/2026

iPhone 17 Pro Demonstrated Running a 400B LLM

Anemll successfully runs a 400 billion parameter model on an iPhone, achieving a performance of 0.6 tokens per second. The post has garnered over 113,000 views and numerous replies.

twitter.com

🔥🔥🔥🔥🔥

1 min

3/23/2026

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