From 589e3efffcb4c2f2aa3b58d0ed9d98ff6519d8b8 Mon Sep 17 00:00:00 2001 From: Ju-yeong Ji Date: Wed, 28 Oct 2026 16:07:43 +0900 Subject: [PATCH 1/2] remove redundant text "Tip" --- docs/models/embeddinggemma/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/models/embeddinggemma/index.md b/docs/models/embeddinggemma/index.md index 5fcb391..5ce7bd2 100644 --- a/docs/models/embeddinggemma/index.md +++ b/docs/models/embeddinggemma/index.md @@ -48,7 +48,7 @@ EmbeddingGemma 2 introduces major improvements over EmbeddingGemma: - **Extended context length** : Supports up to **8,192 tokens** for text and source code across over 100 languages. !!! tip - **Tip:** Deploy EmbeddingGemma 2 with Gemma 4 E2B to build contextually relevant mobile-first Retrieval Augmented Generation (RAG) pipelines and chatbots. See our [quickstart RAG notebook](https://github.com/google-gemma/cookbook/blob/main/tutorials/RAG_with_EmbeddingGemma.ipynb){ data-model="embeddinggemma-2" } to get started. + Deploy EmbeddingGemma 2 with Gemma 4 E2B to build contextually relevant mobile-first Retrieval Augmented Generation (RAG) pipelines and chatbots. See our [quickstart RAG notebook](https://github.com/google-gemma/cookbook/blob/main/tutorials/RAG_with_EmbeddingGemma.ipynb){ data-model="embeddinggemma-2" } to get started. ## Previous Versions From 9d8971cae90c8bb89973d5e872fa9226fc12e920 Mon Sep 17 00:00:00 2001 From: Ju-yeong Ji Date: Wed, 28 Oct 2026 16:16:53 +0900 Subject: [PATCH 2/2] nit fix on table --- docs/models/embeddinggemma/model-card-v2.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/docs/models/embeddinggemma/model-card-v2.md b/docs/models/embeddinggemma/model-card-v2.md index 78f4bfe..cb69b36 100644 --- a/docs/models/embeddinggemma/model-card-v2.md +++ b/docs/models/embeddinggemma/model-card-v2.md @@ -33,8 +33,9 @@ EmbeddingGemma 2 builds upon the architectural and capability advancements of Ge ### Model Overview -| Parameters | Total | 740M | +| | | | |---|---|---| +| **Parameters** | **Total** | 740M | | | **Backbone** | 130M | | | **Embedder** | 140M | | | **Modality Encoders** | *Vision:* 170M *Audio:* 300M |