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README.md
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# embeddinggemma-300m-ONNX-uint8
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This is based on https://huggingface.co/onnx-community/embeddinggemma-300m-ONNX/blob/main/onnx/model_quantized.onnx, but it outputs a uint8 tensor instead of an f32 one.
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This model is compatible with Qdrant, but I'm not sure what other vector DBs it's compatible with.
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# embeddinggemma-300m-ONNX-uint8
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Update Sep. 20, 2025: I removed the last_hidden_state output from the model and left only the sentence_embedding one.
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This is based on https://huggingface.co/onnx-community/embeddinggemma-300m-ONNX/blob/main/onnx/model_quantized.onnx, but it outputs a uint8 tensor instead of an f32 one.
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This model is compatible with Qdrant, but I'm not sure what other vector DBs it's compatible with.
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onnx/model.onnx
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