Llama 3.2 NV EmbedQA 1B v1
Embedding model optimized for multilingual and crosslingual text question-answering retrieval.
Specs
- Context
- 512
- Max output
- —
- Input price
- —
- Output price
- —
- Released
- —
Context
- Context window
- 512
- Max input
- —
- Max output
- —
Pricing
- Not published
Modalities
- Input
- Text
- Output
- Embedding
API
- API types
Reasoning
- Not published
Info
- Status
- Active
- Released
- —
- Knowledge cutoff
- —
Features
- Not published
How to call
1 provider
nvidiamodel = nvidia/llama-3.2-nv-embedqa-1b-v1
JSON
Standard format
{
"id": "llama-3.2-nv-embedqa-1b-v1",
"object": "model",
"created": null,
"owned_by": "nvidia",
"name": "Llama 3.2 NV EmbedQA 1B v1",
"api": {
"types": [
"embeddings"
]
},
"limits": {
"context": 512,
"input": null,
"output": null
},
"modalities": {
"input": [
"text"
],
"output": [
"embedding"
]
},
"reasoning": {
"supported": null,
"efforts": []
},
"pricing": null,
"features": [],
"info": {
"status": "active",
"release_date": null,
"knowledge_cutoff": null,
"description": "Embedding model optimized for multilingual and crosslingual text question-answering retrieval.",
"docs": "https://docs.api.nvidia.com/nim/reference/nvidia-llama-3_2-nv-embedqa-1b-v1",
"verified_at": "2026-10-11"
}
}Official sources
1