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Searching for: nv-mistralai
nvidianv-embedcode-7b-v1
The NV-EmbedCode model is a 7B Mistral-based embedding model optimized for code retrieval, supporting text, code, and hybrid queries.
nvidiallama-3.2-nv-embedqa-1b-v2
Multilingual and cross-lingual text question-answering retrieval with long context support and optimized data storage efficiency.
nvidiallama-3.2-nv-rerankqa-1b-v2
Fine-tuned reranking model for multilingual, cross-lingual text question-answering retrieval, with long context support.
nvidianv-yolox-page-elements-v1
Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
nvidiaVulnerability Analysis for Container Security
Rapidly identify and mitigate container security vulnerabilities with generative AI.
nvidianv-grounding-dino
Grounding dino is an open vocabulary zero-shot object detection model.
nv-mistralaimistral-nemo-12b-instruct
Most advanced language model for reasoning, code, multilingual tasks; runs on a single GPU.
nvidianv-rerankqa-mistral-4b-v3
Multilingual text reranking model.
nvidianv-embedqa-e5-v5
English text embedding model for question-answering retrieval.
nvidianv-embedqa-mistral-7b-v2
Multilingual text question-answering retrieval, transforming textual information into dense vector representations.
nvidianv-embed-v1
Generates high-quality numerical embeddings from text inputs.