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Models
Deploy and scale models on your GPU infrastructure of choice with NVIDIA NIM inference microservices
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13 models
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dateCreated:DESC
Most Recent
NVIDIA
Downloadable
llama-nemotron-embed-1b-v2
Multilingual, cross-lingual embedding model for long-document QA retrieval, supporting 26 languages.
Text-to-Embedding
+2
1.02M
3w
NVIDIA
Downloadable
llama-nemotron-embed-vl-1b-v2
Multimodal question-answer retrieval representing user queries as text and documents as images.
nemo retriever
+3
5.49M
1mo
NVIDIA
Downloadable
llama-3_2-nemoretriever-300m-embed-v2
Multilingual, cross-lingual embedding model for long-document QA retrieval, supporting 26 languages.
Text-to-Embedding
+2
144
5mo
NVIDIA
Free Endpoint
llama-3_2-nemoretriever-300m-embed-v1
Multilingual, cross-lingual embedding model for long-document QA retrieval, supporting 26 languages.
Text-to-Embedding
+2
161K
8mo
NVIDIA
Downloadable
llama-3.2-nemoretriever-1b-vlm-embed-v1
Multimodal question-answer retrieval representing user queries as text and documents as images.
nemo retriever
+3
208K
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.
nemo retriever
+2
218K
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.
nemo retriever
+3
2.85M
8mo
Meta
Free Endpoint
esm2-650m
Generates embeddings of proteins from their amino acid sequences.
nim
+4
166K
1y
NVIDIA
Free Endpoint
nv-dinov2
NV-DINOv2 is a visual foundation model that generates vector embeddings for the input image.
computer vision
+4
1.2M
1y
NVIDIA
Downloadable
nv-embedqa-e5-v5
English text embedding model for question-answering retrieval.
Embedding
+4
9.01M
8mo
NVIDIA
Downloadable
nvclip
NV-CLIP is a multimodal embeddings model for image and text.
Computer vision
+3
52.84K
9mo
NVIDIA
Free Endpoint
nv-embed-v1
Generates high-quality numerical embeddings from text inputs.
Non-Commercial Use Only
+2
3.42M
8mo
BAAI
Downloadable
bge-m3
Embedding model for text retrieval tasks, excelling in dense, multi-vector, and sparse retrieval.
Embeddings
+3
4.75M
11mo
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