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localembedding

embeddinggemma

EmbeddingGemma is a 300M parameter embedding model from Google.

2.5M pulls5 tagsSource updated Sep 9, 20252K max context

Quick start

ollama run embeddinggemma:300m-qat-q4_0

Runnable variants

Memory is a rough file-size estimate; context length, runtime and GPU offload change it.

5 of 5 matching variants shown.

300mTypelocalInputstextDigest85462619ee72Download622 MBParameters300mQuantizationUnknownContext2KEst. memory≈ 2 GB
ollama run embeddinggemma:300m
300m-bf16TypelocalInputstextDigest85462619ee72Download622 MBParameters300mQuantizationBF16Context2KEst. memory≈ 2 GB
ollama run embeddinggemma:300m-bf16
300m-qat-q4_0TypelocalInputstextDigest101341d65c2cDownload239 MBParameters300mQuantizationQ4_0Context2KEst. memory≈ 1.5 GB
ollama run embeddinggemma:300m-qat-q4_0
300m-qat-q8_0TypelocalInputstextDigeste84a7acc2394Download338 MBParameters300mQuantizationQ8_0Context2KEst. memory≈ 1.5 GB
ollama run embeddinggemma:300m-qat-q8_0
latestTypelocalInputstextDigest85462619ee72Download622 MBParametersUnknownQuantizationUnknownContext2KEst. memory≈ 2 GB
ollama run embeddinggemma:latest

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