Get EmbeddingGemma 2 weights safely.

Primary public checkpoint: https://huggingface.co/google/embeddinggemma-2 (model id `google/embeddinggemma-2`). Google’s EmbeddingGemma 2 announcement (2026-10-06) says weights are on Hugging Face and Kaggle, with Gemini Enterprise Agent Platform Model Garden availability described as coming soon—recheck vendor posts before relying on Model Garden. LiteRT-oriented on-device packs are pointed to the LiteRT Community area on Hugging Face in that same post; treat those as Google-ecosystem community channels, not a substitute for reading the model card.

License: Google’s announcement states EmbeddingGemma 2 is released under a commercially permissive Apache 2.0 license. Deployments must still follow the Gemma Prohibited Use Policy (linked from the model card). This independent guide is not affiliated with Google and does not grant licenses.

Recommended first path for most builders: install `sentence-transformers` and load `google/embeddinggemma-2` as shown on the model card quick start—step-by-step on our /huggingface/ page. If you specifically need GGUF for llama.cpp / LM Studio, that is a separate community format: see /gguf/ (Google’s model card does not publish official GGUF files).

We do not host EmbeddingGemma 2 files, do not mirror HF/Kaggle blobs, and do not verify regional CDN hashes for you. Exact byte sizes on disk change with precision and which encoders you pull—prefer the HF file list over third-party blogs. Kaggle and Model Garden status can change after 2026-10-06; recheck Google’s announcement. Facts on this page checked 2026-10-11 against ai.google.dev model card, huggingface.co/google/embeddinggemma-2, and blog.google EmbeddingGemma 2 post.