Downloads · 30 days
72
100% of all-time downloads
kasimtmc/embeddinggemma-litertlm
embeddinggemma-litertlm is a machine learning model from kasimtmc. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for litert-lm. The card lists the license as gemma.
.litertlm build of google/embeddinggemma-300m for the LiteRT-LM EmbeddingEngine (v0.17.0+), used by the Ruminote app for on-device semantic search / RAG.
Downloads · 30 days
72
100% of all-time downloads
All-time downloads
72
Public
Repo size
330 MB
Likes
0
Public
Click a slice to open those files.
.litertlm330 MB · 100%
From the Hugging Face model README
.litertlm build of google/embeddinggemma-300m
for the LiteRT-LM EmbeddingEngine (v0.17.0+),
used by the Ruminote app for on-device semantic search / RAG.
EmbeddingOptions.outputSize), sequence buckets 64/128/256/512.embedder (token → embedding) + text_encoder
(sequence → pooled vector) + SentencePiece tokenizer + embedding metadata, packed with
litert-lm pack. The split pipeline is verified bit-exact against the original model.task: search result | query: {text} · document prefix:
title: none | text: {text} (per the EmbeddingGemma model card).Gemma is provided under and subject to the Gemma Terms of Use. By downloading this model you agree to those terms, including the Gemma Prohibited Use Policy. This repository redistributes a converted (quantized, repackaged) derivative of google/embeddinggemma-300m; all rights in the underlying model remain with Google.