| | --- |
| | 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. | |
