Instructions to use zero9labs/qwen3_romantic_lora_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zero9labs/qwen3_romantic_lora_model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("zero9labs/qwen3_romantic_lora_model", dtype="auto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use zero9labs/qwen3_romantic_lora_model with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for zero9labs/qwen3_romantic_lora_model to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for zero9labs/qwen3_romantic_lora_model to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for zero9labs/qwen3_romantic_lora_model to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="zero9labs/qwen3_romantic_lora_model", max_seq_length=2048, )
Uploaded model
- Developed by: zero9labs
- License: apache-2.0
- Finetuned from model : unsloth/Qwen3-8B-unsloth-bnb-4bit
- This model is trained on romantic text dataset. G0dM0deG0d/supperficial-Romantic-Text-Romance
- Outputs

Promt Template Prompt = """Below is the user input and you must write a response as if you were user's romantic partner.\n\n### Input:\n{}\nn### Response:\n{}"""
This qwen3 model was trained 2x faster with Unsloth and Huggingface's TRL library.
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