Using Llama 3.2 NV RerankQA 1B v2 on NVIDIA NIM

Implementation guide · NV-Embed · NVIDIA AI

ServerlessOpen Weights

NVIDIA NIM exposes Llama 3.2 NV RerankQA 1B v2 through model ID nvidia/llama-3.2-nv-rerankqa-1b-v2. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-05-19. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at NVIDIA NIM and generate an API key.
  2. 2
    Use the NVIDIA NIM SDK or REST API to call nvidia/llama-3.2-nv-rerankqa-1b-v2 — see the documentation for request format.
  3. 3
    You'll be billed . See full pricing.
API PortalDocumentationPricing

Code Examples

See NVIDIA NIM documentation for integration details.

Pricing on NVIDIA NIM

Capabilities

No model capability flags are currently sourced.

About Llama 3.2 NV RerankQA 1B v2

Llama 3.2 NV RerankQA 1B v2 is NVIDIA AI's NV-Embed model focused on search ranking and reranking. It was released 2025-03-01.

Full model details →

Model Specs

Released2025-03-01
Parameters1B
Context4k
ArchitectureEncoder Only

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Provider

NVIDIA NIM

NVIDIA

Santa Clara, California, United States