--- library_name: pytorch license: other tags: - android pipeline_tag: text-generation --- ![](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/nomic_embed_text/web-assets/model_demo.png) # Nomic-Embed-Text: Optimized for Qualcomm Devices A text encoder that surpasses OpenAI text-embedding-ada-002 and text-embedding-3-small performance on short and long context tasks. This is based on the implementation of Nomic-Embed-Text found [here](https://huggingface.co/nomic-ai/nomic-embed-text-v1.5). This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/main/src/qai_hub_models/models/nomic_embed_text) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary). Qualcomm AI Hub Models uses [Qualcomm AI Hub Workbench](https://workbench.aihub.qualcomm.com) to compile, profile, and evaluate this model. [Sign up](https://myaccount.qualcomm.com/signup) to run these models on a hosted Qualcomm® device. ## Getting Started There are two ways to deploy this model on your device: ### Option 1: Download Pre-Exported Models Below are pre-exported model assets ready for deployment. | Runtime | Precision | Chipset | SDK Versions | Download | |---|---|---|---|---| | ONNX | float | Universal | QAIRT 2.42, ONNX Runtime 1.24.3 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/nomic_embed_text/releases/v0.51.0/nomic_embed_text-onnx-float.zip) | QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/nomic_embed_text/releases/v0.51.0/nomic_embed_text-qnn_dlc-float.zip) | TFLITE | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/nomic_embed_text/releases/v0.51.0/nomic_embed_text-tflite-float.zip) For more device-specific assets and performance metrics, visit **[Nomic-Embed-Text on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/nomic_embed_text)**. ### Option 2: Export with Custom Configurations Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/main/src/qai_hub_models/models/nomic_embed_text) Python library to compile and export the model with your own: - Custom weights (e.g., fine-tuned checkpoints) - Custom input shapes - Target device and runtime configurations This option is ideal if you need to customize the model beyond the default configuration provided here. See our repository for [Nomic-Embed-Text on GitHub](https://github.com/qualcomm/ai-hub-models/blob/main/src/qai_hub_models/models/nomic_embed_text) for usage instructions. ## Model Details **Model Type:** Model_use_case.text_generation **Model Stats:** - Model checkpoint: v1.5 - Input resolution: 1x128 (seqlen can vary) - Number of parameters: 137M - Model size (float): 523 MB ## Performance Summary | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit |---|---|---|---|---|---|--- | Nomic-Embed-Text | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 3.86 ms | 0 - 416 MB | NPU | Nomic-Embed-Text | ONNX | float | Snapdragon® X2 Elite | 3.573 ms | 263 - 263 MB | NPU | Nomic-Embed-Text | ONNX | float | Snapdragon® X Elite | 8.506 ms | 263 - 263 MB | NPU | Nomic-Embed-Text | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 5.573 ms | 0 - 462 MB | NPU | Nomic-Embed-Text | ONNX | float | Qualcomm® QCS8550 (Proxy) | 7.973 ms | 0 - 324 MB | NPU | Nomic-Embed-Text | ONNX | float | Qualcomm® QCS9075 | 10.587 ms | 0 - 3 MB | NPU | Nomic-Embed-Text | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 4.338 ms | 0 - 414 MB | NPU | Nomic-Embed-Text | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 3.943 ms | 0 - 184 MB | NPU | Nomic-Embed-Text | QNN_DLC | float | Snapdragon® X2 Elite | 3.888 ms | 1 - 1 MB | NPU | Nomic-Embed-Text | QNN_DLC | float | Snapdragon® X Elite | 8.016 ms | 0 - 0 MB | NPU | Nomic-Embed-Text | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 5.3 ms | 0 - 374 MB | NPU | Nomic-Embed-Text | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 28.303 ms | 0 - 178 MB | NPU | Nomic-Embed-Text | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 7.433 ms | 0 - 2 MB | NPU | Nomic-Embed-Text | QNN_DLC | float | Qualcomm® SA8775P | 9.652 ms | 0 - 177 MB | NPU | Nomic-Embed-Text | QNN_DLC | float | Qualcomm® QCS9075 | 10.379 ms | 0 - 2 MB | NPU | Nomic-Embed-Text | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 11.021 ms | 0 - 351 MB | NPU | Nomic-Embed-Text | QNN_DLC | float | Qualcomm® SA7255P | 28.303 ms | 0 - 178 MB | NPU | Nomic-Embed-Text | QNN_DLC | float | Qualcomm® SA8295P | 10.592 ms | 0 - 155 MB | NPU | Nomic-Embed-Text | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 4.313 ms | 0 - 177 MB | NPU | Nomic-Embed-Text | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 3.948 ms | 0 - 190 MB | NPU | Nomic-Embed-Text | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 5.273 ms | 0 - 376 MB | NPU | Nomic-Embed-Text | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 28.287 ms | 0 - 183 MB | NPU | Nomic-Embed-Text | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 7.291 ms | 0 - 2 MB | NPU | Nomic-Embed-Text | TFLITE | float | Qualcomm® SA8775P | 9.684 ms | 0 - 183 MB | NPU | Nomic-Embed-Text | TFLITE | float | Qualcomm® QCS9075 | 10.569 ms | 0 - 265 MB | NPU | Nomic-Embed-Text | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 10.949 ms | 0 - 354 MB | NPU | Nomic-Embed-Text | TFLITE | float | Qualcomm® SA7255P | 28.287 ms | 0 - 183 MB | NPU | Nomic-Embed-Text | TFLITE | float | Qualcomm® SA8295P | 10.636 ms | 0 - 157 MB | NPU | Nomic-Embed-Text | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 4.317 ms | 0 - 186 MB | NPU ## License * The license for the original implementation of Nomic-Embed-Text can be found [here](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md). ## References * [Introducing Nomic Embed: A Truly Open Embedding Model](https://www.nomic.ai/blog/posts/nomic-embed-text-v1) * [Source Model Implementation](https://huggingface.co/nomic-ai/nomic-embed-text-v1.5) ## Community * Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI. * For questions or feedback please [reach out to us](mailto:ai-hub-support@qti.qualcomm.com).