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Llama Nemotron Embed VL 1B v2Disabled since Sep 17, 2026

NVIDIA's hosted NIM API returns 404 for this catalog id. The model is downloadable self-host NIM only. The live NVIDIA embedding SKU is nvidia/nemotron-3-embed-1b.

NVIDIA Llama-Nemotron-Embed-VL-1B-v2 is a vision-language embedding model for multimodal question-answering and retrieval over text, images, or combined image-text documents. A transformer encoder fine-tuned from Llama 3.2 1B with SigLip2 400M, it uses a tiling-based VLM architecture (Eagle 2 + nemoretriever-parse) for high-resolution image and complex visual-document understanding. Served via NVIDIA NIM.

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Embedding vectors
Vector dimensionsNot published
Max input8,192 tokens
PriceNot published
Request parameters
inputmodelencoding_formatinput_type
ArchitectureTransformer
Categoryembedding
ReleasedJun 1, 2026
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Embeddings are fixed-length vectors — compare them with cosine similarity for semantic search, RAG retrieval, clustering, and deduplication. Embed queries and documents with the same model, or the distances are meaningless.