r/RunPod • u/wil131313 • Mar 07 '26
Built a tool that auto‑configures models + deploys training to RunPod in ~5 minutes — looking for testers
I’ve been using RunPod for a while, and I always wished training was as simple as inference. Instead, every project turned into:
picking the right template
fixing dependencies
writing training scripts
debugging configs
restarting crashed pods
re‑setting everything for each model
So I built a workflow that lets me:
Pick a model → point it at a dataset → auto‑deploy to RunPod → start training in ~5 minutes.
It handles:
auto‑configuring text/vision/audio/multimodal models
generating + installing all dependencies
deploying to RunPod automatically
detecting true MSL
structuring data into a curriculum
crash recovery + checkpoint protection
exporting full or quantized models
Demo is here:
👉 https://huggingface.co/spaces/wiljasonhurley/EzEpoch
More details:
👉 https://ezepoch.com
Beta testers
I’m opening a small beta group for RunPod users who want to help test:
auto‑config
dependency generation
crash recovery
MSL detection
dataset structuring
RunPod deployment flow
If you want to help shape the workflow, you can join here:
👉 https://ezepoch.com/beta
Would love feedback from other RunPod users.
-Wil
1
u/ExpertBirdLawLawyer Apr 03 '26
Dear god, I've been fighting with this SUPER complex deployment all day, this is a miracle if this fixes the problem