---
title: MiniLM-v2
canonical_url: "https://www.modelscope.cn/models/Qualcomm-AI-Hub/MiniLM-v2"
md_url: "https://www.modelscope.cn/models/Qualcomm-AI-Hub/MiniLM-v2.md"
repository: Qualcomm-AI-Hub/MiniLM-v2
last_updated: 2026-10-16
license: apache-2.0
pipeline_tag: text-generation
tasks:
  - text-generation
downloads: 0
stars: 0
tags:
  - foundation
  - real_time
  - android
---

# MiniLM-v2

> MiniLM-v2 - Qualcomm-AI-Hub 在 ModelScope 开源的模型。MiniLM-v2: Optimized for Qualcomm Devices

Qualcomm-AI-Hub/MiniLM-v2 是 ModelScope 魔搭社区上的text-generation模型，采用 apache-2.0 许可。

- **Repository**: Qualcomm-AI-Hub/MiniLM-v2
- **License**: apache-2.0
- **Tasks**: text-generation
- **Tags**: foundation, real_time, android
- **Downloads**: 0
- **Stars**: 0
- **Last updated**: 2026-10-16

Source: https://www.modelscope.cn/models/Qualcomm-AI-Hub/MiniLM-v2

---

![](https://china-qaihub-public-assets.s3.cn-northwest-1.amazonaws.com.cn/qai-hub-models/models/minilm_v2/web-assets/model_demo.png)

# MiniLM-v2: Optimized for Qualcomm Devices

All-MiniLM-L6-v2 maps sentences to a 384-dimensional dense vector space. Trained on 1B+ sentence pairs, it excels at semantic search, clustering, and sentence similarity tasks while being small enough to run on mobile devices.

This is based on the implementation of MiniLM-v2 found [here](https://github.com/UKPLab/sentence-transformers).
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-cn/blob/main/src/qai_hub_models/models/minilm_v2) 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.cn) 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 2.45, ONNX Runtime 1.27.1 | [Download](https://china-qaihub-public-assets.s3.cn-northwest-1.amazonaws.com.cn/qai-hub-models/models/minilm_v2/releases/v0.62.1/minilm_v2-onnx-float.zip)
| ONNX | w8a8 | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | [Download](https://china-qaihub-public-assets.s3.cn-northwest-1.amazonaws.com.cn/qai-hub-models/models/minilm_v2/releases/v0.62.1/minilm_v2-onnx-w8a8.zip)
| QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://china-qaihub-public-assets.s3.cn-northwest-1.amazonaws.com.cn/qai-hub-models/models/minilm_v2/releases/v0.62.1/minilm_v2-qnn_dlc-float.zip)
| QNN_DLC | w8a8 | Universal | QAIRT 2.45 | [Download](https://china-qaihub-public-assets.s3.cn-northwest-1.amazonaws.com.cn/qai-hub-models/models/minilm_v2/releases/v0.62.1/minilm_v2-qnn_dlc-w8a8.zip)
| TFLITE | float | Universal | QAIRT 2.45 | [Download](https://china-qaihub-public-assets.s3.cn-northwest-1.amazonaws.com.cn/qai-hub-models/models/minilm_v2/releases/v0.62.1/minilm_v2-tflite-float.zip)
| TFLITE | w8a8 | Universal | QAIRT 2.45 | [Download](https://china-qaihub-public-assets.s3.cn-northwest-1.amazonaws.com.cn/qai-hub-models/models/minilm_v2/releases/v0.62.1/minilm_v2-tflite-w8a8.zip)

For more device-specific assets and performance metrics, visit **[MiniLM-v2 on Qualcomm® AI Hub](https://aihub.qualcomm.cn/models/minilm_v2)**.


### Option 2: Export with Custom Configurations

Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models-cn/blob/main/src/qai_hub_models/models/minilm_v2) 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 [MiniLM-v2 on GitHub](https://github.com/qualcomm/ai-hub-models-cn/blob/main/src/qai_hub_models/models/minilm_v2) for usage instructions.

## Model Details

**Model Type:** Model_use_case.text_generation

**Model Stats:**
- Embedding dimension: 384
- Input resolution: 128 tokens
- Model checkpoint: sentence-transformers/all-MiniLM-L6-v2
- Model size (float): 86.7 MB
- Number of parameters: 22.7M

## Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
|---|---|---|---|---|---|---
| MiniLM-v2 | ONNX | float | Snapdragon® X2 Elite | 0.671 ms | 1 - 1 MB | NPU
| MiniLM-v2 | ONNX | float | Snapdragon® X Elite | 1.676 ms | 44 - 44 MB | NPU
| MiniLM-v2 | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 1.123 ms | 0 - 106 MB | NPU
| MiniLM-v2 | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 2.361 ms | 0 - 106 MB | NPU
| MiniLM-v2 | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 1.781 ms | 0 - 3 MB | NPU
| MiniLM-v2 | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.616 ms | 0 - 50 MB | NPU
| MiniLM-v2 | ONNX | float | Qualcomm® QCS8450 | 2.361 ms | 0 - 106 MB | NPU
| MiniLM-v2 | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 1.864 ms | 0 - 3 MB | NPU
| MiniLM-v2 | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 1.676 ms | 44 - 44 MB | NPU
| MiniLM-v2 | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 0.793 ms | 0 - 58 MB | NPU
| MiniLM-v2 | ONNX | float | Snapdragon® 8 Elite Mobile | 0.793 ms | 0 - 58 MB | NPU
| MiniLM-v2 | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.64 ms | 0 - 62 MB | NPU
| MiniLM-v2 | ONNX | w8a8 | Snapdragon® X2 Elite | 0.671 ms | 1 - 1 MB | NPU
| MiniLM-v2 | ONNX | w8a8 | Snapdragon® X Elite | 1.779 ms | 23 - 23 MB | NPU
| MiniLM-v2 | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 1.192 ms | 0 - 87 MB | NPU
| MiniLM-v2 | ONNX | w8a8 | Snapdragon® 8 Gen 1 Mobile | 1.985 ms | 0 - 88 MB | NPU
| MiniLM-v2 | ONNX | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 5.548 ms | 0 - 3 MB | NPU
| MiniLM-v2 | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 1.674 ms | 0 - 3 MB | NPU
| MiniLM-v2 | ONNX | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.703 ms | 0 - 153 MB | NPU
| MiniLM-v2 | ONNX | w8a8 | Qualcomm® QCS8450 | 1.985 ms | 0 - 88 MB | NPU
| MiniLM-v2 | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 1.797 ms | 0 - 3 MB | NPU
| MiniLM-v2 | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 1.779 ms | 23 - 23 MB | NPU
| MiniLM-v2 | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 6.686 ms | 0 - 60 MB | NPU
| MiniLM-v2 | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 1.957 ms | 0 - 54 MB | NPU
| MiniLM-v2 | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 0.843 ms | 0 - 56 MB | NPU
| MiniLM-v2 | ONNX | w8a8 | Snapdragon® 8 Elite Mobile | 0.843 ms | 0 - 56 MB | NPU
| MiniLM-v2 | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.66 ms | 0 - 57 MB | NPU
| MiniLM-v2 | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 1.957 ms | 0 - 54 MB | NPU
| MiniLM-v2 | QNN_DLC | float | Snapdragon® X2 Elite | 0.671 ms | 1 - 1 MB | NPU
| MiniLM-v2 | QNN_DLC | float | Snapdragon® X Elite | 1.296 ms | 1 - 1 MB | NPU
| MiniLM-v2 | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 0.791 ms | 38 - 136 MB | NPU
| MiniLM-v2 | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 1.892 ms | 0 - 101 MB | NPU
| MiniLM-v2 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 1.323 ms | 0 - 2 MB | NPU
| MiniLM-v2 | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.118 ms | 0 - 2 MB | NPU
| MiniLM-v2 | QNN_DLC | float | Qualcomm® SA8775P | 1.513 ms | 0 - 59 MB | NPU
| MiniLM-v2 | QNN_DLC | float | Qualcomm® SA8650P | 1.513 ms | 0 - 59 MB | NPU
| MiniLM-v2 | QNN_DLC | float | Qualcomm® SA8255P | 1.513 ms | 0 - 59 MB | NPU
| MiniLM-v2 | QNN_DLC | float | Qualcomm® QCS8450 | 1.892 ms | 0 - 101 MB | NPU
| MiniLM-v2 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 1.391 ms | 2 - 4 MB | NPU
| MiniLM-v2 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 1.296 ms | 1 - 1 MB | NPU
| MiniLM-v2 | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 0.568 ms | 0 - 59 MB | NPU
| MiniLM-v2 | QNN_DLC | float | Qualcomm® SA7255P | 3.596 ms | 0 - 59 MB | NPU
| MiniLM-v2 | QNN_DLC | float | Qualcomm® SA8295P | 2.301 ms | 0 - 57 MB | NPU
| MiniLM-v2 | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 0.568 ms | 0 - 59 MB | NPU
| MiniLM-v2 | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.455 ms | 0 - 58 MB | NPU
| MiniLM-v2 | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 0.812 ms | 0 - 0 MB | NPU
| MiniLM-v2 | QNN_DLC | w8a8 | Snapdragon® X Elite | 1.914 ms | 1 - 1 MB | NPU
| MiniLM-v2 | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 1.219 ms | 0 - 73 MB | NPU
| MiniLM-v2 | QNN_DLC | w8a8 | Snapdragon® 8 Gen 1 Mobile | 1.962 ms | 0 - 69 MB | NPU
| MiniLM-v2 | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 4.011 ms | 0 - 2 MB | NPU
| MiniLM-v2 | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 1.654 ms | 0 - 2 MB | NPU
| MiniLM-v2 | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.718 ms | 0 - 2 MB | NPU
| MiniLM-v2 | QNN_DLC | w8a8 | Qualcomm® SA8775P | 1.931 ms | 0 - 50 MB | NPU
| MiniLM-v2 | QNN_DLC | w8a8 | Qualcomm® SA8650P | 1.931 ms | 0 - 50 MB | NPU
| MiniLM-v2 | QNN_DLC | w8a8 | Qualcomm® SA8255P | 1.931 ms | 0 - 50 MB | NPU
| MiniLM-v2 | QNN_DLC | w8a8 | Qualcomm® QCS8450 | 1.962 ms | 0 - 69 MB | NPU
| MiniLM-v2 | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 1.819 ms | 0 - 2 MB | NPU
| MiniLM-v2 | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 1.914 ms | 1 - 1 MB | NPU
| MiniLM-v2 | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 6.118 ms | 0 - 50 MB | NPU
| MiniLM-v2 | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 1.698 ms | 0 - 47 MB | NPU
| MiniLM-v2 | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 0.838 ms | 0 - 49 MB | NPU
| MiniLM-v2 | QNN_DLC | w8a8 | Qualcomm® SA7255P | 3.423 ms | 0 - 48 MB | NPU
| MiniLM-v2 | QNN_DLC | w8a8 | Qualcomm® SA8295P | 2.38 ms | 0 - 46 MB | NPU
| MiniLM-v2 | QNN_DLC | w8a8 | Snapdragon® 8 Elite Mobile | 0.838 ms | 0 - 49 MB | NPU
| MiniLM-v2 | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.685 ms | 0 - 53 MB | NPU
| MiniLM-v2 | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 1.698 ms | 0 - 47 MB | NPU
| MiniLM-v2 | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 0.82 ms | 0 - 102 MB | NPU
| MiniLM-v2 | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 1.956 ms | 0 - 101 MB | NPU
| MiniLM-v2 | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 1.377 ms | 0 - 46 MB | NPU
| MiniLM-v2 | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.146 ms | 0 - 2 MB | NPU
| MiniLM-v2 | TFLITE | float | Qualcomm® SA8775P | 1.568 ms | 0 - 65 MB | NPU
| MiniLM-v2 | TFLITE | float | Qualcomm® SA8650P | 1.568 ms | 0 - 65 MB | NPU
| MiniLM-v2 | TFLITE | float | Qualcomm® SA8255P | 1.568 ms | 0 - 65 MB | NPU
| MiniLM-v2 | TFLITE | float | Qualcomm® QCS8450 | 1.956 ms | 0 - 101 MB | NPU
| MiniLM-v2 | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 1.414 ms | 0 - 45 MB | NPU
| MiniLM-v2 | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 0.594 ms | 0 - 66 MB | NPU
| MiniLM-v2 | TFLITE | float | Qualcomm® SA7255P | 3.721 ms | 0 - 62 MB | NPU
| MiniLM-v2 | TFLITE | float | Qualcomm® SA8295P | 2.354 ms | 0 - 56 MB | NPU
| MiniLM-v2 | TFLITE | float | Snapdragon® 8 Elite Mobile | 0.594 ms | 0 - 66 MB | NPU
| MiniLM-v2 | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.482 ms | 0 - 60 MB | NPU
| MiniLM-v2 | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 1.671 ms | 0 - 80 MB | NPU
| MiniLM-v2 | TFLITE | w8a8 | Snapdragon® 8 Gen 1 Mobile | 2.612 ms | 0 - 81 MB | NPU
| MiniLM-v2 | TFLITE | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 17.056 ms | 0 - 30 MB | NPU
| MiniLM-v2 | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 2.256 ms | 0 - 25 MB | NPU
| MiniLM-v2 | TFLITE | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 2.364 ms | 0 - 3 MB | NPU
| MiniLM-v2 | TFLITE | w8a8 | Qualcomm® SA8775P | 2.682 ms | 0 - 59 MB | NPU
| MiniLM-v2 | TFLITE | w8a8 | Qualcomm® SA8650P | 2.682 ms | 0 - 59 MB | NPU
| MiniLM-v2 | TFLITE | w8a8 | Qualcomm® SA8255P | 2.682 ms | 0 - 59 MB | NPU
| MiniLM-v2 | TFLITE | w8a8 | Qualcomm® QCS8450 | 2.612 ms | 0 - 81 MB | NPU
| MiniLM-v2 | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 2.506 ms | 0 - 24 MB | NPU
| MiniLM-v2 | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 12.129 ms | 0 - 37 MB | NPU
| MiniLM-v2 | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 5.05 ms | 0 - 35 MB | NPU
| MiniLM-v2 | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 1.135 ms | 0 - 58 MB | NPU
| MiniLM-v2 | TFLITE | w8a8 | Qualcomm® SA7255P | 4.601 ms | 0 - 55 MB | NPU
| MiniLM-v2 | TFLITE | w8a8 | Qualcomm® SA8295P | 3.197 ms | 0 - 48 MB | NPU
| MiniLM-v2 | TFLITE | w8a8 | Snapdragon® 8 Elite Mobile | 1.135 ms | 0 - 58 MB | NPU
| MiniLM-v2 | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.945 ms | 0 - 55 MB | NPU
| MiniLM-v2 | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 5.05 ms | 0 - 35 MB | NPU

## License
* The license for the original implementation of MiniLM-v2 can be found
  [here](https://github.com/UKPLab/sentence-transformers/blob/master/LICENSE).

## References
* [Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks](https://arxiv.org/abs/1908.10084)
* [Source Model Implementation](https://github.com/UKPLab/sentence-transformers)

## Community
* For questions or feedback, chat with our engineers in [Qualcomm® AI Hub Workbench](https://workbench.aihub.qualcomm.cn).