LLM Reference
NVIDIA NIM

Llama 3.2 NV EmbedQA 1B v1 on NVIDIA NIM

NV-Embed · NVIDIA AI

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Last refreshed 2026-05-06. Next refresh: weekly.

Why use Llama 3.2 NV EmbedQA 1B v1 on NVIDIA NIM?

NVIDIA NIM offers Llama 3.2 NV EmbedQA 1B v1 with competitive pricing. NVIDIA NIM is NVIDIA's deployment platform for GPU-accelerated inference microservices.

Input / 1M
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Output / 1M
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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-embedqa-1b-v1
Model ID
nvidia/llama-3.2-nv-embedqa-1b-v1

Request example

Curated snippets for this provider are not sourced yet. Use NVIDIA NIM documentation with model ID nvidia/llama-3.2-nv-embedqa-1b-v1.

Gotchas

  • Use provider model ID "nvidia/llama-3.2-nv-embedqa-1b-v1", not the LLMReference slug "llama-3.2-nv-embedqa-1b-v1".

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 Superseded by v2, which extends context to 4K tokens.

Get Started

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Model Specs

Released2024-10-08
Parameters1B
Context512
ArchitectureEncoder Only

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