Safetensors 0.4.3-gfbf-2023a

Safetensors is a new simple format for storing tensors safely (as opposed to pickle) and that is still fast (zero-copy). Safetensors is really fast. This variant of Safetensors is installed with support for numpy and PyTorch

Accessing Safetensors 0.4.3-gfbf-2023a

To load the module for Safetensors 0.4.3-gfbf-2023a please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load bear-apps/2023a
module load Safetensors/0.4.3-gfbf-2023a

BEAR Apps Version

2023a

Architectures

EL8-icelake — EL8-sapphirerapids

The listed architectures consist of two parts: OS-CPU. The OS used is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.

Extensions

• safetensors 0.4.3

More Information

For more information visit the Safetensors website.

Dependencies

This version of Safetensors has a direct dependency on: gfbf/2023a Python/3.11.3-GCCcore-12.3.0 SciPy-bundle/2023.07-gfbf-2023a

Required By

This version of Safetensors is a direct dependent of: accelerate/0.33.0-foss-2023a accelerate/0.33.0-foss-2023a-CUDA-12.1.1 timm/1.0.8-foss-2023a Transformers/4.39.3-foss-2023a Transformers/4.42.0-foss-2023a Transformers/4.39.3-foss-2023a-CUDA-12.1.1 Transformers/4.42.0-foss-2023a-CUDA-12.1.1

Last modified on 17th March 2025