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adaptive-3d-rope
Chenyu8998/adaptive-3d-rope
adaptive-3d-rope is a machine learning model from Chenyu8998. 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.
Six PyTorch checkpoints for the public Adaptive 3D-RoPE code repository. Each directory contains a checkpoint-149.pth and matches the profile with the same name in positionencodingprofiles.yaml.
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Public
Updated Sep 14, 2026
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5 GB
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.pth5 GB · 100%
At a glance
- Library
- pytorch
- License
- mit
- Access
- Public
- Created
- May 1, 2026
- Updated
- Sep 14, 2026
- SHA
- 732a9919
Model card
From the Hugging Face model README
Adaptive 3D-RoPE checkpoints
Six PyTorch checkpoints for the public Adaptive 3D-RoPE code repository. Each directory contains a checkpoint-149.pth and matches the profile with the same name in position_encoding_profiles.yaml.
The weights are trained on externally prepared CSI data. This repository does not contain raw or processed datasets. Download the code, install its pinned dependencies, prepare DATA_ROOT, and evaluate with python cli.py eval --profile PROFILE ....
Use the SHA-256 values in checksums.sha256 before loading a checkpoint. Do not mix profiles: the code performs strict state-dict and saved-argument compatibility checks.
Source commit: f0df7e6404e95d78f24824f3582d64f9967d5149.
- Library
- pytorch
- License
- mit
- Created
- May 1, 2026
- Updated
- Sep 14, 2026