Train Dense Passage Retriever (DPR) with a single GPU
-
Updated
Jun 16, 2021 - Python
Train Dense Passage Retriever (DPR) with a single GPU
Non-intimidating guide to create a KVM GPU Passthrough via libvirt/virt-manager on systems with only one GPU.
Seamless NVIDIA GPU hot handoff between Proxmox host and VM — bind/unbind nvidia ⇆ vfio-pci safely, no reboots.
Cog Single GPU Quantized Implementation of Step-Video-T2V
Whole slide training with single GPU
🎮 Enable seamless hot handoff of NVIDIA GPUs between Proxmox host and VM without rebooting, enhancing performance for both compute and gaming tasks.
🚀 Achieve rapid training of NanoGPT (GPT-2 124M) on a single RTX 4090, targeting a validation loss below 3.28 with FineWeb-Edu data.
Add a description, image, and links to the single-gpu topic page so that developers can more easily learn about it.
To associate your repository with the single-gpu topic, visit your repo's landing page and select "manage topics."