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---
license: apache-2.0
language:
- zh
metrics:
- bleu
---
<!-- <img src="assets/这个男人能嫁吗.jpg" width="900" alt="# MarryWise"> -->
<!-- [](https://github.com/saofund/marrywise-llm/stargazers) -->
[](LICENSE)
[](https://github.com/saofund/marrywise-llm/commits/main)
[](https://modelscope.cn/models/qwen/Qwen2-7B)
[](https://huggingface.co/saofund/marrywise-7b-lora)
[](https://x.com/976582772Wyt)
\[ English | [中文](README_zh.md) \]
<!-- **MarryWise: AI-Driven Matchmaking Analysis Tool** -->
| [](https://xn--ciqpnj1l70hxw9az0oyqy.com/) | [](https://can-he-marry.com/) |
|---|---|
| [](https://can-he-marry.com/) | [](https://can-he-marry.com/) |
## Features
- **AI Matchmaking Analyst**: Utilizing advanced AI technology to automatically analyze behavior and speech patterns during dates, revealing hidden motives and true personality traits.
- **AI Fake Matchmaker Detector**: Helps users identify potential deceitful behavior during the dating process, ensuring the authenticity and reliability of partners.
## Main Analysis Dimensions
- **Personality Authenticity**: Assessing the true character of a potential partner through behavior and speech analysis.
- **Actual Motives**: Revealing the real intentions behind a suitor's actions to prevent being deceived by appearances.
- **Personal Achievements**: Evaluating a suitor's personal achievements and capabilities to ensure their descriptions match reality.
## Fine-tuning Data Example
Fine-tuned using [Qwen2-7B](https://qwen.readthedocs.io/en/latest/getting_started/quickstart.html), example of fine-tuning data (coming soon).
| Input (Conditions) | Output (After analysis, large model conversion) |
| ------------------------------------------------------------------------------------------------------------------------------------------ | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| 1. 32 years old, 178cm <br> 2. Collects rent, annual income of 15104 <br> 3. 6 houses, one car <br> 4. Loves cleanliness, cooking, wife, parents divorced and lives with mother, mother is gentle. | 🔍 Hidden Secrets: The truth he doesn't want you to know <br> In the dazzling matchmaking market, everyone tries to show their best side. But beware of those unspoken secrets, they could be stumbling blocks on your path to happiness. <br> 🍳 The weight mystery behind cooking <br> He claims to be a cooking master, living an easy and comfortable life. But numbers don't lie: the undisclosed weight may hint at an unhealthy lifestyle. Don't overlook long-term health risks while enjoying the delicacies. <br> 💰 Questions about property origin <br> Six properties, one car—seemingly solid financial foundation. But where do these assets come from? Being a demolition household might signify luck, or it could indicate a lack of ambition. <br> 👨👩👦 Complexity of family relationships <br> He praises his mother's gentleness and easy-going nature, but does it mean he cannot be independent? The mother-son relationship in a single-parent family may be more complex than it appears, potentially affecting future family harmony. <br> 💍 The "loving wife" label trap <br> "Loving wife" sounds perfect, but beware it could be a psychological tactic. Don't be easily fooled by this label without delving into his true intentions. <br> 🔍 Deep Dive: What are the real motives? <br> He understands women, but why is he still single? There might be hidden secrets under his perfect exterior. Uncover the veil and see his true motives before making a decision. |
## Local Setup
##### Detailed Steps:
```shell
# Download Qwen2-7B-Instruct model: https://modelscope.cn/models/qwen/Qwen2-7B/files
git lfs install
git clone https://www.modelscope.cn/qwen/Qwen2-7B.git
# Download lora weights
# Install LLaMA-Factory
git clone --depth 1 https://github.com/hiyouga/LLaMA-Factory.git
cd LLaMA-Factory
pip install -e ".[torch,metrics]" # Install dependencies, follow the official instructions
# Use LLaMA-Factory to merge lora weights
# Requires GPU, approximately 12G VRAM usage
llamafactory-cli export \
--model_name_or_path Qwen2-7B-Instruct \ # The just downloaded Qwen2-7B weights
--adapter_name_or_path output_qwen\ # Path to lora weights
--template qwen \ # Default
--finetuning_type lora \ # Default
--export_dir lora_full_param_model \ # Output path for full weights
--export_size 2 \ # Default
--export_legacy_format False # Default
# Official Qwen2 inference test script, replace the weight path with the merged path
python cli_demo.py -c path_to_merged_weights # Approximately 15G VRAM
# Note: Due to the "style" characteristics of lora fine-tuning, specific prompt words need to be added at the beginning of the question:
# Your role is a matchmaking condition analyst, specializing in identifying the "hidden" conditions not mentioned by the male party, analyzing the "secrets not mentioned" in matchmaking. xxxx (followed by specific conditions)
```
##### Local CLI Result:
<img src="assets/sft_demo.png" width="500" alt="CLI Result">
#### Contact the Author
For dataset acquisition, models, algorithms, technical exchanges, and collaborative development, feel free to add the author's WeChat.
| Author's WeChat QR Code | sáo Fund Sponsorship |
|---|---|
|  |  |
| For dataset acquisition, models, algorithms, technical exchanges, and collaborative development, feel free to add the author's WeChat. | Sponsored by sáo Fund, thank you. | |