Llama Nemotron Rerank VL 1B V2 is a 1.7B multimodal reranking model from NVIDIA. It evaluates the relevance of document images and text against user queries, designed for vision RAG pipelines handling charts, tables, infographics, and mixed-media documents. It works as a cross-encoder over a text query paired with a document.
Free
Free calls share a limit of 10 requests a minute and 100 a day across all free models. The paid version has no per-minute limit.
How long a request takes over every route we serve it from: from sending it to the complete result.
Share of requests served without a server error. Client errors (4xx) do not count.
No optional parameters beyond the standard request.
Works with the OpenAI SDK pointed at our base URL. Every parameter is in the API reference.
Tokens reranked per day on NagaAI.
Llama Nemotron Rerank VL 1B V2 is a 1.7B multimodal reranking model from NVIDIA. It evaluates the relevance of document images and text against user queries, designed for vision RAG pipelines handling charts, tables, infographics, and mixed-media documents.
Llama Nemotron Rerank VL 1B V2 (free) is free on NagaAI: a free account calls it without topping up, up to 10 requests a minute and 100 a day across all free models.
It takes text as input and returns rerank.
Create an API key, copy the model ID from the top of this page and send requests with the OpenAI SDK pointed at NagaAI. The API section on this page has a ready example.
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