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metricspace/embeddinggemma-300m-q4k
embeddinggemma-300m-q4k is a machine learning model from metricspace. 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 gguf. The card lists the license as gemma.
A Q4K GGUF quantization of Google's EmbeddingGemma-300M, distributed as the embedded semantic-search backend of greppy, a local code-navigation tool for coding agents. greppy embeds this file directly in its binary an…
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From the Hugging Face model README
A Q4_K GGUF quantization of Google's EmbeddingGemma-300M,
distributed as the embedded semantic-search backend of
greppy, a local code-navigation
tool for coding agents. greppy embeds this file directly in its binary and runs
it on device (native Rust + vendored Metal/CUDA kernels — no llama.cpp runtime,
Python, or model server) to power greppy semantic-search: finding code by
meaning when the symbol name is unknown.
google/embeddinggemma-300m (includes the dense
post-processing modules for sentence-transformers-compatible embeddings).cduk/embeddinggemma-300m-GGUF-with-dense-modules.This model is a Model Derivative of Gemma and is provided under and subject to the Gemma Terms of Use, not an open-source license. By using or redistributing these files you agree, as an enforceable condition, that you will not use them for any purpose prohibited by the Gemma Prohibited Use Policy, and that any onward distribution carries these same restrictions, a copy of the Gemma Terms, and the notice below.
The binding terms, the Google notice, and the record of modifications are included in this repository:
GEMMA-TERMS.htmlGEMMA-PROHIBITED-USE-POLICY.htmlEMBEDDINGGEMMA-NOTICE.txtEMBEDDINGGEMMA-MODIFICATIONS.txtEMBEDDINGGEMMA-PROVENANCE.json"Gemma" is a trademark of Google LLC. This is a community quantization for greppy and is not endorsed by or affiliated with Google.