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Model
World-class multilingual and cross-lingual question-answering retrieval.
Use the NGC CLI to download:
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| Field | Response |
|---|---|
| Intended Application & Domain: | Passage and query embedding for question and answer retrieval |
| Model Type: | Transformer encoder |
| Intended User: | Generative AI creators working with conversational AI models - users who want to build a multilingual question and answer application over a large text corpus, leveraging the latest dense retrieval technologies. |
| Output: | Array of float numbers (Dense Vector Representation for the input text) |
| Describe how the model works: | Model transforms the tokenized input text into a dense vector representation. |
| Performance Metrics: | Accuracy, Throughput, and Latency |
| Potential Known Risks: | This model does not always guarantee to retrieve the correct passage(s) for a given query. |
| Licensing & Terms of Use: | The use of this model is governed by the NVIDIA AI Foundation Models Community License Agreement and Llama 3.2 is licensed under the Llama 3.2 Community License, Copyright © Meta Platforms, Inc. All Rights Reserved. |
| Technical Limitations | The model’s max sequence length is 8192. Therefore, the longer text inputs should be truncated. |
| Name the adversely impacted groups this has been tested to deliver comparable outcomes regardless of: | N/A |
| Verified to have met prescribed NVIDIA quality standards: | Yes |