---
license: gemma
license_link: https://ai.google.dev/gemma/terms
base_model: google/embeddinggemma-300m
pipeline_tag: sentence-similarity
tags:
  - litert
  - tflite
  - on-device
  - embeddinggemma
---

# EmbeddingGemma (LiteRT): Memoyad mirror

These are unmodified copies of EmbeddingGemma LiteRT files. They are hosted here so the
[Memoyad](https://memoyad.com) app always has a stable download source.

## EmbeddingGemma 300M

Source: [litert-community/embeddinggemma-300m](https://huggingface.co/litert-community/embeddinggemma-300m)

| File | Size (bytes) | SHA-256 |
|---|---|---|
| `embeddinggemma-300M_seq256_mixed-precision.tflite` | 179131736 | `37115ef7bff76cd37dd86abe503ff511b1032bf85fc624a85c49c84899e92bc5` |
| `sentencepiece_for_embeddinggemma.model` | 4683319 | `d6daa52d93d7aad10e8388bd526c4e501d914b47177398d1d9621f1fe48438c7` |

No weights, graphs or tokenizer data were changed. The app pins each download to a commit of this
repository and checks the SHA-256 above. Adding files here, such as a later EmbeddingGemma
version, never changes what an installed app downloads.

## License

Gemma is provided under and subject to the Gemma Terms of Use found at ai.google.dev/gemma/terms

A copy of the terms is in [`GEMMA_TERMS_OF_USE.md`](https://huggingface.co/tibaf/embeddinggemma/blob/main/GEMMA_TERMS_OF_USE.md).
Use of this model is subject to the [Gemma Prohibited Use Policy](https://ai.google.dev/gemma/prohibited_use_policy),
which is part of those terms. By downloading or using these files you agree to them.

## Credits

EmbeddingGemma was developed by Google DeepMind. The LiteRT community (Google AI Edge) converted it
to LiteRT. This repository is not affiliated with or endorsed by Google.