huggingface / huggingface/AIEnergyScore
non-docker + non-batch mode isn't using the correct defaults
Open
- Dominant language
- Python
- Stars
- 42
- Forks
- 8
- PR merge metrics
- No merged PRs in 30d
Description
At least for gpt-oss models if you haven't specified reasoning level it the non-batch mode for non-docker script will default to using reasoning High but truncate tokens to max of 100. the non-batch mode should be aligned with the batch mode in terms of defaults and behavior.
Contributor guide
No contributing guide indexed for this repository
Research direction
Compare the non-batch, non-docker execution path with the batch path, focusing first on defaults for gpt-oss models and the token limit. Done means both modes use the same reasoning-level default and do not unexpectedly truncate tokens to 100.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ai
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100