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README.md

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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
+- Licensed under Google’s **Gemma Terms of Use**.  
+- See: [Gemma Terms](https://ai.google.dev/gemma/terms)  
+
+Ensure your usage complies with upstream license conditions.  
+
+
+## References
+- [nexaSDK](https://sdk.nexa.ai)  
+
+
+## Support
+For SDK-related issues, visit [sdk.nexa.ai](https://sdk.nexa.ai).  
+For model-specific questions, open an issue in this repository.