Google Publishes Technical Report for 740M-Parameter Omni-Modal EmbeddingGemma 2
tomaarsen · x · 2026-10-28
Google's EmbeddingGemma team has published the technical report for EmbeddingGemma 2, 'Unified and Efficient Multimodal Representations.' At just 740M parameters, its omni-modal nature and pareto-optimal performance make it one of the most exciting recent embedding releases. Sentence Transformers author tomaarsen plans to mine the report for techniques to port into his own models, and appears in the acknowledgements alongside Raia Hadsell and Zoubin Ghahramani.
Related event: Google Open-Sources EmbeddingGemma 2, a 744M Omni-Modal Embedding Model(6 posts)→
More from Models
- GitHub's Copilot Fusion matches Opus 5.5 coding agents at half the cost per task — ArtificialAnlys · 2026-10-29
- RSI Arena paper: 10 AI agents autonomously post-train models, 8 improve with human feedback — teortaxesTex · 2026-10-29
- ARC Prize finds v2 = v1^4.53 power curve explains 98% of ARC-AGI-2 score variance — GregKamradt · 2026-10-29
- Don't get hyped: today's OpenAI news may just be Pro 200 limits not getting cut — Angaisb_ · 2026-10-29
- Cryptographer points abliterated GLM at Telegram's secret-chat crypto — and it 'killed itself' — matthew_d_green · 2026-10-29
- Top reasoning effort costs up to 42x more on tasks low effort already solves — zainhas · 2026-10-29