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…ass#648) * add molmo prompts * fix lint format
Co-authored-by: Yuan Ye <yuany2@chinatelecom.cn>
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Evaluation Results of GPT4o-20241120 hallucination 0.753004 |
Mercury7353
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* update vlrewardbench * pre-commit fix * formatter * [Improvement] Better `AUTO_SPLIT` and model split for InternVL2 * [Minor] Improve CC-OCR Import * [Model] Support QVQ * [Model] Update Molmo Eval to Match Official Implementation (open-compass#648) * add molmo prompts * fix lint format * [Fix] Refine Qwen-VL2 device assignment * [Fix] Fix RealWorldQA md5 * update MMMU_DEV_VAL tsv * [Fix] Fix confusing image width&height (open-compass#704) Co-authored-by: Yuan Ye <yuany2@chinatelecom.cn> * Update llama_vision.py (open-compass#705) * [Fix] Fix Lint * Fix Lint * Fix Lint --------- Co-authored-by: kennymckormick <dhd.efz@gmail.com> Co-authored-by: jamespark3922 <jspark96@cs.washington.edu> Co-authored-by: CMeteor <CMeteor@users.noreply.github.com> Co-authored-by: Yuan Ye <yuany2@chinatelecom.cn> Co-authored-by: Guowei Xu <113534787+XuGW-Kevin@users.noreply.github.com>
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* update vlrewardbench * pre-commit fix * formatter * [Improvement] Better `AUTO_SPLIT` and model split for InternVL2 * [Minor] Improve CC-OCR Import * [Model] Support QVQ * [Model] Update Molmo Eval to Match Official Implementation (open-compass#648) * add molmo prompts * fix lint format * [Fix] Refine Qwen-VL2 device assignment * [Fix] Fix RealWorldQA md5 * update MMMU_DEV_VAL tsv * [Fix] Fix confusing image width&height (open-compass#704) Co-authored-by: Yuan Ye <yuany2@chinatelecom.cn> * Update llama_vision.py (open-compass#705) * [Fix] Fix Lint * Fix Lint * Fix Lint --------- Co-authored-by: kennymckormick <dhd.efz@gmail.com> Co-authored-by: jamespark3922 <jspark96@cs.washington.edu> Co-authored-by: CMeteor <CMeteor@users.noreply.github.com> Co-authored-by: Yuan Ye <yuany2@chinatelecom.cn> Co-authored-by: Guowei Xu <113534787+XuGW-Kevin@users.noreply.github.com>
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Hi there,
Thanks for your awesome project, which helps a lot for LMM evaluation & development!
This PR incorporates our recently released VL-RewardBench.
Example script:
Saved results for GPT4O-MINI:
and GPT4O:
The results are consistent with our reported with small variance.