lucasjinreal / lucasjinreal/Namo-R1
Data and train pipeline
Open
- Dominant language
- Python
- Stars
- 256
- Forks
- 26
- PR merge metrics
- No merged PRs in 30d
Description
Hello! Thanks for the repo and the model :)
I'm wondering if there is some info on how to reproduce NAMO ? Which data did you use? Which composition?
Thanks
Contributor guide
No contributing guide indexed for this repository
Research direction
Review the repository's available training and data pipeline entry points first; the issue does not name specific files or tests. Document which data and composition were used for NAMO and explain enough of the reproduction process for others to follow.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data, documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100