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Mapperatorinator-v30-LoRA-2025
OliBomby/Mapperatorinator-v30-LoRA-2025
Mapperatorinator-v30-LoRA-2025 is a machine learning model from OliBomby. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
This is a LoRA (Low-Rank Adaptation) fine-tune for the OliBomby/Mapperatorinator-v30 model. It has been trained on 450 osu! standard ranked mapsets from january 2025.
Access
Public
Updated Sep 26, 2025
Repo size
56.7 MB
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At a glance
- License
- mit
- Access
- Public
- Created
- Sep 26, 2025
- Updated
- Sep 26, 2025
- SHA
- f6e6dd79
Model card
From the Hugging Face model README
LoRA: Januari 2025 Style for Mapperatorinator
This is a LoRA (Low-Rank Adaptation) fine-tune for the OliBomby/Mapperatorinator-v30 model. It has been trained on 450 osu! standard ranked mapsets from january 2025.
Model Details
- Base Model:
OliBomby/Mapperatorinator-v30 - Model Type: LoRA
How to Use
You can load the LoRA directly from this repository without manually downloading the files. The script will handle it automatically.
- Run Inference: Use the
lora_pathargument and set it to the name of this repository.python inference.py \ audio_path='/path/to/your/audio.mp3' \ output_path='/path/to/your/output_folder' \ lora_path='mouceen/Mapperatorinator-v30-LoRA-2025' \ ... # other arguments
- License
- mit
- Created
- Sep 26, 2025
- Updated
- Sep 26, 2025