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| Input (Conditions) | Output (After analysis, large model conversion) |
|---|---|
| 1. 32 years old, 178cm 2. Collects rent, annual income of 15104 3. 6 houses, one car 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 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. 🍳 The weight mystery behind cooking 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. 💰 Questions about property origin 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. 👨👩👦 Complexity of family relationships 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. 💍 The "loving wife" label trap "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. 🔍 Deep Dive: What are the real motives? 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. |
1# Download Qwen2-7B-Instruct model: https://modelscope.cn/models/qwen/Qwen2-7B/files
2git lfs install
3git clone https://www.modelscope.cn/qwen/Qwen2-7B.git
4
5# Download lora weights
6
7# Install LLaMA-Factory
8git clone --depth 1 https://github.com/hiyouga/LLaMA-Factory.git
9cd LLaMA-Factory
10pip install -e ".[torch,metrics]" # Install dependencies, follow the official instructions
11
12# Use LLaMA-Factory to merge lora weights
13# Requires GPU, approximately 12G VRAM usage
14llamafactory-cli export \
15 --model_name_or_path Qwen2-7B-Instruct \ # The just downloaded Qwen2-7B weights
16 --adapter_name_or_path output_qwen\ # Path to lora weights
17 --template qwen \ # Default
18 --finetuning_type lora \ # Default
19 --export_dir lora_full_param_model \ # Output path for full weights
20 --export_size 2 \ # Default
21 --export_legacy_format False # Default
22
23# Official Qwen2 inference test script, replace the weight path with the merged path
24python cli_demo.py -c path_to_merged_weights # Approximately 15G VRAM
25
26# Note: Due to the "style" characteristics of lora fine-tuning, specific prompt words need to be added at the beginning of the question:
27# 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)
28
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