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Models
Deploy and scale models on your GPU infrastructure of choice with NVIDIA NIM inference microservices
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9 models
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dateCreated:DESC
Most Recent
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.
nemo retriever
+2
Items per page
24
1
1
of 1 pages
84K
3mo
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.
nemo retriever
+2
501K
4mo
NVIDIA
Downloadable
llama-nemotron-embed-1b-v2
Multilingual, cross-lingual embedding model for long-document QA retrieval, supporting 26 languages.
Text-to-Embedding
+2
4M
4mo
NVIDIA
Downloadable
llama-nemotron-embed-vl-1b-v2
Multimodal question-answer retrieval representing user queries as text and documents as images.
nemo retriever
+3
8M
5mo
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.
nemo retriever
+2
1M
1y
NVIDIA
Downloadable
nv-embedqa-e5-v5
English text embedding model for question-answering retrieval.
Embedding
+4
16M
11mo
NVIDIA
Free Endpoint
nv-embed-v1
Generates high-quality numerical embeddings from text inputs.
Non-Commercial Use Only
+2
4M
11mo
BAAI
Downloadable
bge-m3
Embedding model for text retrieval tasks, excelling in dense, multi-vector, and sparse retrieval.
Embeddings
+3
3M
1y
NVIDIA
Free Endpoint
rerank-qa-mistral-4b
GPU-accelerated model optimized for providing a probability score that a given passage contains the information to answer a question.
Ranking
+2
483K
1y