metadata

tags:
  - docker
  - x86
  - a100
  - rtx4090
  - semamba
  - cuda
  - pytorch
  - mamba
license: mit
library_name: docker
datasets: []

x86 SEMamba Docker Image

This Docker image provides a pre-configured development environment for running SEMamba models on x86 systems such as NVIDIA A100, RTX 4090, and other CUDA-compatible GPUs. It contains Python 3.12 and PyTorch 2.2.2, built on top of Ubuntu 22.04 with CUDA 12.4.

OS: Ubuntu 22.04 (x86_64)
Python: 3.12 (via Miniconda)
CUDA: 12.4 (base image)
PyTorch: 2.2.2
TorchVision: 0.17.2
TorchAudio: 2.2.2
Mamba-SSM: 1.2.0
Essential packages: git, vim, screen, htop, tmux, openssh, etc.

Usage

Download Docker Image

wget https://huggingface.co/datasets/rc19477/x86-semamba-docker/resolve/main/x86_semamba_py312_pt222_cuda124.tar

Load Docker Image

docker load < x86_semamba_py312_pt222_cuda124.tar

Run Container

docker run --gpus all -it -v $(pwd):/workspace x86_semamba_py312_pt222_cuda124

This will mount your current directory into /workspace inside the container.

Purpose

Simplifies setup for SEMamba on x86 GPU systems
Provides reproducible environment with version-pinned core libraries

License & Attribution

This Docker image is shared for non-commercial research purposes.
All included libraries retain their original licenses.
Based on PyTorch, Miniconda, and Mamba.

Maintainer

For questions or issues, feel free to open a discussion or connect via GitHub.

Datasets:

rc19477
/

x86-semamba-docker