litert-community / embeddinggemma-300m

huggingface.co
Total runs: 1.2K
24-hour runs: 28
7-day runs: -238
30-day runs: -1.0K
Model's Last Updated: October 07 2026
sentence-similarity

Introduction of embeddinggemma-300m

Model Details of embeddinggemma-300m

litert-community/embeddinggemma-300m

Main Model Card: google/embeddinggemma-300m

Overview

This model card provides a few variants of the EmbeddingGemma model that are ready for deployment on Android and iOS using LiteRT , or on Android via the Google AI Edge RAG Library .

Use the models
LiteRT
RAG
Performance
Android

Note that all benchmark stats are from a Samsung S25 Ultra.

Backend Quantization Max sequence length Init time (ms) Inference time (ms) Memory (RSS in MB) Model size (MB)

GPU

Mixed Precision*

256

1175

64

762

179

GPU

Mixed Precision*

512

1445

119

762

179

GPU

Mixed Precision*

1024

1545

241

771

183

GPU

Mixed Precision*

2048

1707

683

786

196

CPU

Mixed Precision*

256

17.6

66

110

179

CPU

Mixed Precision*

512

24.9

169

123

179

CPU

Mixed Precision*

1024

35.4

549

169

183

CPU

Mixed Precision*

2048

35.8

2455

333

196

*Mixed Precision refers to per-channel quantization with int4 for embeddings, feedforward, and projection layers, and int8 for attention (e4_a8_f4_p4).

Notes:

  • Init time: the cost paid once per application initialization – subsequent inferences do not pay this cost
  • Memory: indicator of peak RAM usage
  • Model Size: measured by the size of the .tflite flatbuffer (serialization format for LiteRT models)
  • The inference on CPU is accelerated via the LiteRT XNNPACK delegate with 4 threads
  • Benchmark is run with cache enabled and initialized. During the first run, the latency may differ.

Runs of litert-community embeddinggemma-300m on huggingface.co

1.2K
Total runs
28
24-hour runs
-188
3-day runs
-238
7-day runs
-1.0K
30-day runs

More Information About embeddinggemma-300m huggingface.co Model

More embeddinggemma-300m license Visit here:

https://choosealicense.com/licenses/gemma

embeddinggemma-300m huggingface.co

embeddinggemma-300m huggingface.co is an AI model on huggingface.co that provides embeddinggemma-300m's model effect (), which can be used instantly with this litert-community embeddinggemma-300m model. huggingface.co supports a free trial of the embeddinggemma-300m model, and also provides paid use of the embeddinggemma-300m. Support call embeddinggemma-300m model through api, including Node.js, Python, http.

litert-community embeddinggemma-300m online free

embeddinggemma-300m huggingface.co is an online trial and call api platform, which integrates embeddinggemma-300m's modeling effects, including api services, and provides a free online trial of embeddinggemma-300m, you can try embeddinggemma-300m online for free by clicking the link below.

litert-community embeddinggemma-300m online free url in huggingface.co:

https://huggingface.co/litert-community/embeddinggemma-300m

embeddinggemma-300m install

embeddinggemma-300m is an open source model from GitHub that offers a free installation service, and any user can find embeddinggemma-300m on GitHub to install. At the same time, huggingface.co provides the effect of embeddinggemma-300m install, users can directly use embeddinggemma-300m installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

embeddinggemma-300m install url in huggingface.co:

https://huggingface.co/litert-community/embeddinggemma-300m

Url of embeddinggemma-300m

Provider of embeddinggemma-300m huggingface.co

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