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Models (15)
Blueprints (6)
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BAAI
Downloadable
bge-m3
Embedding model for text retrieval tasks, excelling in dense, multi-vector, and sparse retrieval.
Model
Embeddings
+3
6.72M
11mo
NVIDIA
Downloadable
llama-3.2-nemoretriever-1b-vlm-embed-v1
Multimodal question-answer retrieval representing user queries as text and documents as images.
Model
nemo retriever
+3
202K
9mo
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
3.3K
9mo
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
2.81M
8mo
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
210K
8mo
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
194K
8mo
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
150
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
1.1M
4w
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
5.69M
1mo
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
16.47K
3w
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
103
3d
NVIDIA
Free Endpoint
nv-embed-v1
Generates high-quality numerical embeddings from text inputs.
Model
Non-Commercial Use Only
+2
3.73M
8mo
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
234K
10mo
NVIDIA
Downloadable
nv-embedqa-e5-v5
English text embedding model for question-answering retrieval.
Model
Embedding
+4
9.56M
8mo
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.
Model
Ranking
+2
407K
1y
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