gsm_plus
Harbor adapterLarge language models (LLMs) have achieved impressive performance across various mathematical reasoning benchmarks.
Verified100%Math
- Samples
- 10,552
- Released
- 2024
- Scores
- 1
$ npm i -g lettokenburn-cli$ ltb bench pull gsm-hard
External harness. pip install opencompass && opencompass --models <model_cfg> --datasets gsmhard_gen (OpenCompass dataset config dir 'gsm_hard') https://github.com/open-compass/opencompass
Runs happen on your machine with your own subscription; only the score summary is pushed. CLI docs
No sourced scores recorded yet.
Every number links to where it was published. Low-confidence rows are muted and need per-cell verification.
gsm hard — AI evaluation benchmark listed by opencompass.