I took EmbeddingGemma-2 (577M) from Rank #26 to #1 on the MTEB Audio leaderboard (MAEB), beating 9B models by adding a 2.4 MB PCA head with zero training

Model & weights: BrunoHays/embeddinggemma-2-nullspace-audio MAEB (Massive Audio Embedding Benchmark) is the main MTEB leaderboard benchmark for audio and text-to-audio embeddings, currently dominated by 8B-9B multimodal models. I took Google's edge-sized google/embeddinggemma-2 (577M params, 768d ve

中文全文翻译正在补齐，可先查看下方英文原文。

Model & weights: BrunoHays/embeddinggemma-2-nullspace-audio MAEB (Massive Audio Embedding Benchmark) is the main MTEB leaderboard benchmark for audio and text-to-audio embeddings, currently dominated by 8B-9B multimodal models. I took Google's edge-sized google/embeddinggemma-2 (577M params, 768d ve