Skip to content

fix(docs): Replace broken link for mmlongbench-doc #178

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
mikemckiernan wants to merge 1 commit into
base: main
Choose a base branch
from
Open

fix(docs): Replace broken link for mmlongbench-doc #178

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion docs/nemotron/omni3/README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -39,7 +39,7 @@ For the full architectural deep-dive — including why EVS drives the throughput

### Capabilities (released benchmarks)

- Best-in-class on [MMlongbench-Doc](https://mmlongbench.github.io/) and [OCRBenchV2](https://github.com/Yuliang-Liu/MultimodalOCR) (document intelligence)
- Best-in-class on [MMlongbench-Doc](https://github.com/mayubo2333/MMLongBench-Doc) and [OCRBenchV2](https://github.com/Yuliang-Liu/MultimodalOCR) (document intelligence)
- Leading on [WorldSense](https://huggingface.co/datasets/honglyhly/WorldSense), [DailyOmni](https://github.com/THUNLP-MT/DailyOmni), [VoiceBench](https://huggingface.co/datasets/hlt-lab/voicebench) (video / audio understanding)
- **~9.2×** greater effective system capacity on video reasoning, **~7.4×** on multi-document workloads vs. comparable open omni models
- "Highest throughput across every task" in MediaPerf; "lowest inference cost for video-level tagging"
Expand Down
Loading