# Hugging Face — Build a Domain-Specific Embedding Model in Under a Day

- Company: Hugging Face (huggingface.co)
- Announced: 2026-03-20T19:38:16+00:00
- Subject: Platform
- Models affected: Llama-Nemotron-Embed-1B-v2
- Source: https://huggingface.co/blog/nvidia/domain-specific-embedding-finetune
- Record: https://forck.live/items/1532-build-a-domain-specific-embedding-model-in-under-a-day

NVIDIA and Hugging Face published a tutorial on fine-tuning a domain-specific embedding model in under a day using a single GPU, releasing a synthetic training dataset generated from NVIDIA's public documentation and open-source recipe integrations.

## Evidence

Verbatim from https://huggingface.co/blog/nvidia/domain-specific-embedding-finetune:

> With a single GPU and less than a day of training time, you can transform a general-purpose embedding model into one that truly understands your domain, no manual labeling required. To help you hit the ground running, we are also releasing a ready-to-use synthetic training dataset generated from NVIDIA's public documentation using this exact pipeline.

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Record: https://forck.live/items/1532-build-a-domain-specific-embedding-model-in-under-a-day
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