LLM Reference
NVIDIA NIM

Using Llama 3.2 NV EmbedQA 1B v1 on NVIDIA NIM

Implementation guide · NV-Embed · NVIDIA AI

ServerlessOpen Weights

NVIDIA NIM exposes Llama 3.2 NV EmbedQA 1B v1 through model ID nvidia/llama-3.2-nv-embedqa-1b-v1. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-05-06. 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-embedqa-1b-v1 — see the documentation for request format.
  3. 3
    You'll be billed . See full pricing.
API PortalDocumentationPricingModel Card

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 EmbedQA 1B v1

NVIDIA multilingual embedding model for question-answering retrieval, based on Llama 3.2. Outputs 2048-dimensional embeddings and supports 26 languages with 512-token context. Superseded by v2, which extends context to 4K tokens.

Full model details →

Model Specs

Released2024-10-08
Parameters1B
Context512
ArchitectureEncoder Only

More Models on NVIDIA NIM

NV-EmbedCode 7B v1Llama 3.2 NV EmbedQA 1B v2Llama 3.2 NV RerankQA 1B v2
All models on NVIDIA NIM →

Provider

NVIDIA NIM
NVIDIA NIM

NVIDIA

Santa Clara, California, United States