Downloads · 30 days
0
QuanONet-Melt-Checkpoints
WangRuocheng/QuanONet-Melt-Checkpoints
QuanONet-Melt-Checkpoints is a machine learning model from WangRuocheng. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for pytorch. The card lists the license as mit.
This repository contains the checkpoints from the ablation studies and scaling law experiments (Melt) for the QuanONet project.
Access
Public
Updated Jan 18, 2026
Repo size
994 KB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.ckpt994 KB · 100%
At a glance
- Library
- pytorch
- License
- mit
- Access
- Public
- Created
- Jan 18, 2026
- Updated
- Jan 18, 2026
- SHA
- 9a61b275
Model card
From the Hugging Face model README
QuanONet Melt Checkpoints
This repository contains the checkpoints from the ablation studies and scaling law experiments (Melt) for the QuanONet project.
Content
These weights correspond to various hyperparameter configurations (e.g., different latent dimensions p, depths, and widths) used to generate the scaling law curves in the paper.
- Source:
JMLR/meltexperiments.
- Library
- pytorch
- License
- mit
- Created
- Jan 18, 2026
- Updated
- Jan 18, 2026