Embeddings for NVIDIA's Nemotron Personas

Reddit r/LocalLLaMA Tools
embeddings nvidia nemotron personas dataset semantic-search qwen

Summary

Precomputed embedding vectors for the Nemotron-Personas dataset using Qwen 0.6B, enabling semantic search and clustering of synthetic personas via a web demo.

I extracted embedding vectors for nvidia/Nemotron-Personas dataset. It's an incredible resource consisting of millions of synthetic personas with detailed backgrounds (names, ages, occupations, hobbies, and more), but finding specific personas or clustering them is difficult. To solve this, I used Qwen 0.6B to compute embeddings. While 0.6B is lightweight, it works perfectly for running semantic searches or finding K-Nearest Neighbors to build out persona groups. You can find the precomputed embedding vectors (Korea, Japan, France, USA). Please check out web demo. * Dataset:[ https://huggingface.co/collections/tantara/nemotron-personas-embedding](https://huggingface.co/collections/tantara/nemotron-personas-embedding) * Web Demo:[ https://www.microworld.dev/](https://www.microworld.dev/) Let me know what you think or if you end up using it for any of your local agent projects!
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