ATH-MaaS/Ovis-Omni-Embedding-3B
feature-extraction model by ATH-MaaS
Older snapshot: check the original source for current information.
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
Ovis-Omni-Embedding-3B is a 3B-parameter universal embedding model for text, images, visual documents, video, audio, and interleaved multimodal inputs. It maps every supported input type into one coherent representation space, enabling any-to-any retrieval with a single encoder. The model is initialized from Qwen2.5-Omni-3B. Rather than attaching separate modality-specific embedding towers, it retains the native text tokenizer, vision encoder, audio encoder, and shared Thinker backbone. The speech-generation Talker and language-modeling head are removed, and the final-layer hidden state at the last non-padding token is used directly as the retrieval embedding. Ovis-Omni-Embedding-3B is designed for multimodal search, retrieval-augmented generation, recommendation, visual-document retrieval, video and audio search, and agentic retrieval over tools, interfaces, and memory. Figure 2 from the technical report. Ovis-Omni-Embedding-3B encodes text, visual, and audio inputs as an interleaved token sequence processed by the Qwen2.5-Omni Thinker with TMRoPE. The final-layer hidden state at the last non-padding token becomes the retrieval embedding, with…
Read the full model card ↗ · Preview checked 2026-11-14T21:03:12.835Z
Inside the original model card — Document outline
- Ovis-Omni-Embedding-3B
- Architecture
- Training
- Retrieval interface
- Performance
- MMEB-v3
- Additional benchmark results
- Embedding dimensions
- Intended use
- Limitations
- Citation
- License
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
ATH-MaaS/Ovis-Omni-Embedding-3B is a feature-extraction model repository published by ATH-MaaS on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- feature-extraction
- Library
- transformers
- Recent downloads (30 days)
- 356
- Cumulative likes
- 54
- Hugging Face trending score
- 50
- Reported safetensors parameters
- Not reported
- Architecture
- Qwen2_5OmniForConditionalGeneration
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-09-20T03:40:45.000Z
- Last modified
- 2026-09-24T03:17:36.000Z
Compatibility and lineage
Language coverage was not reported.
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-30T06:38:12.437Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.