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Models (8)
Blueprints (4)
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NVIDIA
Downloadable
nv-embedqa-e5-v5
English text embedding model for question-answering retrieval.
Model
Embedding
+4
9mo
Items per page
24
1
1
of 1 pages
9.24M
NVIDIA
Downloadable
llama-3.2-nv-rerankqa-1b-v2
Fine-tuned reranking model for multilingual, cross-lingual text question-answering retrieval, with long context support.
Model
nemo retriever
+2
103K
9mo
NVIDIA
Free Endpoint
llama-3_2-nemoretriever-300m-embed-v1
Multilingual, cross-lingual embedding model for long-document QA retrieval, supporting 26 languages.
Model
Text-to-Embedding
+2
344K
9mo
NVIDIA
Downloadable
llama-3_2-nemoretriever-300m-embed-v2
Multilingual, cross-lingual embedding model for long-document QA retrieval, supporting 26 languages.
Model
Text-to-Embedding
+2
96
6mo
NVIDIA
Downloadable
llama-nemotron-embed-1b-v2
Multilingual, cross-lingual embedding model for long-document QA retrieval, supporting 26 languages.
Model
Text-to-Embedding
+2
1.95M
1mo
NVIDIA
Downloadable
llama-nemotron-embed-vl-1b-v2
Multimodal question-answer retrieval representing user queries as text and documents as images.
Model
nemo retriever
+3
7.17M
2mo
NVIDIA
Downloadable
llama-3.2-nv-embedqa-1b-v2
Multilingual and cross-lingual text question-answering retrieval with long context support and optimized data storage efficiency.
Model
nemo retriever
+3
2.52M
9mo
NVIDIA
Free Endpoint
nv-embedcode-7b-v1
The NV-EmbedCode model is a 7B Mistral-based embedding model optimized for code retrieval, supporting text, code, and hybrid queries.
Model
nemo retriever
+2
157K
11mo
