Llama 3.2 NV RerankQA 1B v2 on NVIDIA NIM

NV-Embed · NVIDIA AI

ServerlessOpen Weights

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

Why use Llama 3.2 NV RerankQA 1B v2 on NVIDIA NIM?

NVIDIA NIM offers Llama 3.2 NV RerankQA 1B v2 with competitive pricing. NVIDIA NIM is NVIDIA's deployment platform for GPU-accelerated inference microservices.

Input / 1M
-
Output / 1M
-
Cache
Not sourced
Batch
Not sourced

Setup recipe

Docs fallback
Install
Use the provider REST API or SDK
Auth
Create a provider API key
Call
model: nvidia/llama-3.2-nv-rerankqa-1b-v2
Model ID
nvidia/llama-3.2-nv-rerankqa-1b-v2

Request example

Curated snippets for this provider are not sourced yet. Use NVIDIA NIM documentation with model ID nvidia/llama-3.2-nv-rerankqa-1b-v2.

Gotchas

  • Use provider model ID "nvidia/llama-3.2-nv-rerankqa-1b-v2", not the LLMReference slug "llama-3.2-nv-rerankqa-1b-v2".

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.

Get Started

Model Specs

Released2025-03-01
Parameters1B
Context4k
ArchitectureEncoder Only