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Models (9)
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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
1mo
Items per page
24
1
1
of 1 pages
2.01M
NVIDIA
Downloadable
llama-nemotron-rerank-1b-v2
GPU-accelerated model optimized for providing a probability score that a given passage contains the information to answer a question.
Model
nemo retriever
+2
190K
1mo
NVIDIA
Downloadable
llama-3.2-nemoretriever-500m-rerank-v2
GPU-accelerated model optimized for providing a probability score that a given passage contains the information to answer a question.
Model
nemo retriever
+2
10.71K
10mo
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
2.4M
9mo
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
96.93K
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
313K
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
86
7mo
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
6.97M
2mo
NVIDIA
Downloadable
llama-nemotron-rerank-vl-1b-v2
GPU-accelerated model optimized for providing a probability score that a given passage contains the information to answer a question.
Model
nemo retriever
+2
15.08K
1mo