Inquiry about training compute setup

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Assessment

Difficulty
4/5
Estimated time
3-5 days
Newbie friendliness
25/100
Issue type
Documentation
Clarity
Mostly clear
Activity status
Stale

Research direction

The issue names no file, test, or entry point. Start by reviewing the repository's available training documentation or experiment records for GPU type, count, and per-stage and overall training time. Done means those requested compute details are documented, but the issue is 394 days old and has only one comment.

Written by the indexing model from the issue text.

Description

Hey, thanks a ton for open-sourcing this — awesome work!

I was curious if you could share a bit about the compute setup you used to train the model:

  • what kind of GPUs you ran on (and how many)

  • about how long training took (days or GPU hours) , both per stage and overall

Just trying to get a sense of the scale involved. Appreciate any details you can share!

Dominant language
Python
Stars
875
Forks
43
PR merge metrics
No merged PRs in 30d

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