Google Deepmind's Gemma 4 12B is an open-source model that processes text, images, and audio natively and runs on laptops with just 16 GB of RAM. It nearly matches the twice-as-large 26B model in benchmarks and ships under an Apache 2.0 license for commercial use.<br /> The article Google Deepmind's Gemma 4 12B squeezes multimodal AI onto a laptop with just 16 GB of RAM appeared first on The Decoder. [...]
While many AI open source model providers are pursuing larger and more powerful models, Google is still giving attention to the smaller, more local side of the market. Today, the tech giant released G [...]
For the past two years, enterprises evaluating open-weight models have faced an awkward trade-off. Google's Gemma line consistently delivered strong performance, but its custom license — with u [...]
The recent controversy surrounding Google’s Gemma model has once again highlighted the dangers of using developer test models and the fleeting nature of model availability. Google pulled its Gemma [...]
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Microsoft on Tuesday released Phi-4-reasoning-vision-15B, a compact open-weight multimodal AI model that the company says matches or exceeds the performance of systems many times its size — while co [...]
When Google released Gemini 3 Pro at the end of last year, it was a significant step forward for the company's proprietary large language models. Now, the company is bringing some of the same tec [...]
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