
EmbeddingGemma 2: an open, lightweight multimodal embedding model
Google DeepMind released EmbeddingGemma 2, a 740-million-parameter open multimodal embedding model for on-device use.
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Google DeepMind released EmbeddingGemma 2, a 740-million-parameter open multimodal embedding model for on-device use.
Researchers store encrypted KV cache on NVMe so Gemma 4 recalls facts across 50 million tokens without recompute.
AutoTrust released GEV-26B-Decide, an open 26B Gemma-4 decision model scoring 62.48 on Decision Index 0.2.1.
Jev-Omni, a 12B Gemma 4 multimodal decision classifier, is trending on Hugging Face.
Research shows on-policy expert correction, not imitation fine-tuning, lets weaker agent models catch up under evolved harnesses.
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