MOEB results: omni embedding models on mteb
Raw mteb result files for 11 omni
(text, image, audio, video) embedding models. The task set is the one in
code/run_moeb_omni_2.py: MMTEB v3 (MTEB(Multilingual, v2) without 5 tasks), every
cross-modal task in mteb, and the single-modality tasks of MIEB(lite), MAEB(v1) and MVEB(v1)
with their variants. That is 392 tasks per model.
Status: incomplete. Uploaded 2026-11-04. About 2,600 of 3,920 model–task results are done. The run stopped when the compute project ran out of GPU time.
Contents
| Path | What |
|---|---|
results/<model>/<revision>/<task>.json |
One mteb TaskResult per model and task |
summary.json, summary.txt |
Mean main_score per model and benchmark, done/expected, missing tasks. Snapshot of 2026-11-04 01:07 UTC; results finished after that time are in results/ but not in the summary. Rebuild it with code/summarize_moeb.py. |
code/ |
Runner, Slurm scripts, summary script, and run notes |
code/mteb_local_changes.patch |
Local fixes on top of mteb commit e9c128f2c331eb271c18b442734940549f29edc2 |
Models
nvidia/omni-embed-nemotron-3b, EximiusLabs/fusion-embedding-1-2b-preview, EximiusLabs/fusion-embedding-2-2b-preview, encord-team/ebind-full, encord-team/ebind-audio-vision, jinaai/jina-embeddings-v5-omni-small, jinaai/jina-embeddings-v5-omni-nano, LanguageBind/LanguageBind_Omni, google/embeddinggemma-2, BidirLM/BidirLM-Omni-2.5B-Embedding.
vidore/colqwen-omni-v0.1 was dropped part-way. Its partial results are included, but the summary leaves it out. It is a multi-vector model, so classification, clustering and pair-classification tasks do not apply to it.
Caveats
- BidirLM-Omni video scores change with mteb PR #5652, which was not merged at run time.
- The local patch changes results for three cases:
- LanguageBind: grayscale and RGBA images are converted to RGB.
- omni-embed-nemotron: a video time value is passed as a tensor; without the fix every video task fails.
- Multilabel classification: a dataset index fix for datasets 4.0.
- Some datasets are gated on the Hub (for example facebook/winoground). Tasks on those datasets are missing.
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