Refactor folder and add missing models

README.md

@@ -7,13 +7,19 @@ tags:
 pretty_name: Checkpoints
 ---
 
-The Checkpoints dataset as trained and used in [A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors](https://arxiv.org/abs/2310.08287) published at ICLR 2024.
+The Checkpoints dataset as trained and used in [A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors](https://arxiv.org/abs/2310.08287) published at ICLR 2024. All models all trained and uploaded in a float16 format to reduce the memory footprint.
 
 ## Usage
 
-### Tar
+### Untar the models
 
-Just untar the desired models. This will create a new folder containing the models saved as safetensors.
+Just untar the desired models available in `models`, for instance with:
+
+```bash
+tar -xvf models/cifar10-resnet18/cifar10-resnet18-0-1023.tgz
+```
+
+Most of them are regrouped in tar files containing 1024 models each. This will create a new folder containing the models saved as safetensors.
 
 ### TorchUncertainty
 
@@ -31,6 +37,7 @@ pip install torch-uncertainty
 ```
 
 ### Loading models
+
 The functions to load the models are available in `scripts`.
 
 **Any questions?** Please feel free to ask in the [GitHub Issues](https://github.com/ENSTA-U2IS-AI/torch-uncertainty/issues) or on our [Discord server](https://discord.gg/HMCawt5MJu).

models/cifar100-resnet18/cifar100-resnet18-1024-2047.tgz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c76f9f517b2644297302c10cb077dc7308f8bc3ac75d0752a0c842bdcc24cc0f
+size 23010652160