Length exploration
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 20/100
- Issue type
- Documentation
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- python
- Domain
- machine-learning
Research direction
The issue names no files, tests, or entry points. Start by checking the released ModuleFormer/MoLM model configurations and context-length behavior, then document whether longer inputs work without fine-tuning or require fine-tuning at a longer sequence length.
Written by the indexing model from the issue text.
Description
Can this model be used in a longer input without any finetuning or do we have to fine tune this model in a longer sequence length?
- Dominant language
- Python
- Stars
- 225
- Forks
- 12
- PR merge metrics
- No merged PRs in 30d
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
More from IBM/ModuleFormer
-
Difficulty 2/5 1-3 hours Newbie friendliness 62/100
IBM/ModuleFormer#13 ·
-
Difficulty 5/5 Over a week Newbie friendliness 15/100
IBM/ModuleFormer#11 ·
All issues in IBM/ModuleFormer
Similar issues
-
documentation help wanted
Difficulty 2/5 1-3 hours Newbie friendliness 90/100
-
Difficulty 2/5 1-3 hours Newbie friendliness 90/100
simonw/sqlite-utils#872 ·
-
Difficulty 2/5 1-3 hours Newbie friendliness 88/100
-
Difficulty 2/5 1-3 hours Newbie friendliness 82/100
-
Difficulty 2/5 1-3 hours Newbie friendliness 78/100