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NexaAI/
embeddinggemma-300m-npu

Name: embeddinggemma-300m-npu
Availability: InStock

NPU

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EmbeddingGemma-300M (NPU)

Model Description

EmbeddingGemma is a 300M-parameter open embedding model developed by Google DeepMind.
It is built from Gemma 3 (with T5Gemma initialization) and the same research and technology used in Gemini models.

The model produces vector representations of text, making it well-suited for search, retrieval, classification, clustering, and semantic similarity tasks.
It was trained on 100+ languages with ~320B tokens, optimized for on-device efficiency (mobile, laptops, desktops).

Features

Compact and efficient: 300M parameters, optimized for on-device use.
Multilingual: trained on 100+ spoken languages.
Flexible embeddings: default dimension 768, with support for 512, 256, 128 via Matryoshka Representation Learning (MRL).
Wide task coverage: retrieval, QA, fact-checking, classification, clustering, similarity.
Commercial-friendly: open weights available for research and production.

Use Cases

Semantic similarity and recommendation systems
Document, code, and web search
Clustering for organization, research, and anomaly detection
Classification (e.g., sentiment, spam detection)
Fact verification and QA embeddings
Code retrieval for programming assistance

Inputs and Outputs

Input:

Type: Text string (e.g., query, prompt, document)
Max Length: 2048 tokens

Output:

Type: Embedding vector (default 768d)
Options: 512 / 256 / 128 dimensions via truncation & re-normalization (MRL)

Limitations & Responsible Use

This model has known limitations:

Bias & coverage: quality depends on training data diversity.
Nuance & ambiguity: may struggle with sarcasm, figurative language.
Ethical concerns: risk of bias perpetuation, privacy leakage, or malicious misuse.

Mitigations:

CSAM and sensitive data filtering applied.
Users should adhere to Gemma Responsible AI guidelines and Prohibited Use Policy.

License

This model is released under the Creative Commons Attribution–NonCommercial 4.0 (CC BY-NC 4.0) license.
Non-commercial use, modification, and redistribution are permitted with attribution.
For commercial licensing, please contact dev@nexa.ai.

References

nexaSDK

Support

For SDK-related issues, visit sdk.nexa.ai.
For model-specific questions, open an issue in this repository.

NexaAI/embeddinggemma-300m-npu