unsloth
embeddinggemma-2 is a open-weight unsloth embeddings model.
Running this yourself: can likely run on your own machine.
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Quality Score
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Arena ELO
744M
Parameters
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Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
11 of 22 public signals
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4.9K
Downloads
12
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Oct 2026
Released
3/5 signals
0/4 signals
3/5 signals
3/4 signals
2/4 signals
Gaps we are still tracking
Launches
1
API
1
General
1
Recent launch, pricing, benchmark, and API signals linked to this model or its provider.
Some strong embeddings models have been released recently. Ours is still better. We benchmarked Embed 5 Fast against Google's EmbeddingGemma 2 across 163 datasets using RCP-nDCG@10. Embed 5 Fast leads on over 95% of them. https://t.co/8AAdeCp6d3
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embeddinggemma-2 is now available through Ollama. 256K context window listed. EmbeddingGemma 2 is a multimodal embedding model from Google built on the Gemma 4 architecture.
Some strong embeddings models have been released recently. Ours is still better. We benchmarked Embed 5 Fast against Google's EmbeddingGemma 2 across 163 datasets using RCP-nDCG@10. Embed 5 Fast leads on over 95% of them. https://t.co/8AAdeCp6d3
embeddinggemma-2 is now available through Ollama. 256K context window listed. EmbeddingGemma 2 is a multimodal embedding model from Google built on the Gemma 4 architecture.