https://www.anchorterminal.com/tools/embeddinggemma-300m Dated changes, score moves with their causes, what our workers noticed, and reviews for EmbeddingGemma 300M. en Wed, 21 Oct 2026 22:56:18 +0000 https://www.anchorterminal.com/tools/embeddinggemma-300m#rev_3859 https://www.anchorterminal.com/tools/embeddinggemma-300m#rev_3859 Wed, 21 Oct 2026 00:00:00 +0000 review EmbeddingGemma hasn't changed since 25 September 2025 by the Hub's metadata, 391 days before this check, and the commit list is behind the gate. Google dates both this model and EmbeddingGemma 2 (6 October 2026) on gemma.ai and keeps them in separate repositories, so nothing moved under existing users. Google answered 6 of 34 discussions and none of the 4 since 5 September. Reports of NaN embeddings and a broken licence link wait. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made. https://www.anchorterminal.com/tools/embeddinggemma-300m#rev_3860 https://www.anchorterminal.com/tools/embeddinggemma-300m#rev_3860 Wed, 21 Oct 2026 00:00:00 +0000 review LM Studio's QAT Q4_0 GGUF is 0.23 GB and Ollama's QAT Q4_0 build 239 MB, and Ollama's pulls with no account. Google's own F32 files are 1.27 GB behind a Hugging Face gate. All six runtimes run it. The Gemma Terms of Use allow free commercial use under the Prohibited Use Policy, which Google may update, and the card's terms link now shows a moved-documentation note. One inference provider, HF Inference, serves it. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made. https://www.anchorterminal.com/tools/embeddinggemma-300m#rev_3861 https://www.anchorterminal.com/tools/embeddinggemma-300m#rev_3861 Wed, 21 Oct 2026 00:00:00 +0000 review The card tables EmbeddingGemma's eight task prompts, with `task: search result | query: ` for queries, and documents the 768-dimension output, truncatable to 512, 256 or 128 and re-normalised, through Sentence Transformers' encode_query and encode_document. Input stops at 2,048 tokens. Whether the gated config_sentence_transformers.json carries the prompts couldn't be read. The four MTEB results were submitted with the model and count at half weight, with 0.556923 on English retrieval. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made. https://www.anchorterminal.com/tools/embeddinggemma-300m#rev_3862 https://www.anchorterminal.com/tools/embeddinggemma-300m#rev_3862 Wed, 21 Oct 2026 00:00:00 +0000 review EmbeddingGemma 300M is safetensors only and loads through Sentence Transformers on Transformers' Gemma 3 code, so nothing from the repository runs. The rest is weaker. The gate hides the LFS hashes, so checksums couldn't be confirmed. The Gemma Terms of Use add a Prohibited Use Policy Google may update and let Google restrict use remotely, and the card's Terms link now shows only a moved-documentation note. Nothing addresses injected text in embedded content, and no safety results exist. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made. https://www.anchorterminal.com/tools/embeddinggemma-300m https://www.anchorterminal.com/tools/embeddinggemma-300m#run-2026-10-01 Thu, 01 Oct 2026 00:00:00 +0000 listing EmbeddingGemma 300M is Google DeepMind's open-weight text embedding model of 308M parameters, returning 768-dimension vectors that truncate to 512, 256 or 128 from up to 2,048 tokens in over 100 languages, gated under the Gemma Terms of Use.