🚀 YugoGPT

YugoGPT is the best open - source base 7B LLM for BCS (Bosnian, Croatian, Serbian) languages, developed by Aleksa Gordić. It offers a powerful language - processing solution for the BCS language community.

🚀 Quick Start

This repo contains YugoGPT, an outstanding open - source base 7B LLM tailored for BCS (Bosnian, Croatian, Serbian) languages, developed by Aleksa Gordić.

You can access more powerful iterations of YugoGPT already through the recently announced RunaAI's API platform!

Evaluation Results

Serbian LLM eval results compared to Mistral 7B, LLaMA 2 7B, and GPT2 - orao (also see this LinkedIn post):

Eval was computed using https://github.com/gordicaleksa/serbian-llm-eval

Training Details

It was trained on tens of billions of BCS tokens and is based off of Mistral 7B.

✨ Features

Model Characteristics

1. YugoGPT is a base model and therefore does not have any moderation mechanisms.
2. Since it's a base model it won't follow your instructions as it's just a powerful autocomplete engine.
3. If you want an access to much more powerful BCS LLMs (some of which are powering yugochat) - you can access the models through RunaAI's API

📄 License

This project is licensed under the Apache - 2.0 license.

Credits

The data for the project was obtained with the help of Nikola Ljubešić, CLARIN.SI, and [CLASSLA](https://www.clarin.si/info/k - centre/). Thank you!

Project Sponsors

A big thank you to the project sponsors!

Platinum sponsors 🌟

• Ivan (anon)
• Things Solver

Gold sponsors 🟡

• qq (anon)
• Adam Sofronijevic
• Yanado
• Mitar Perovic
• Nikola Ivancevic
• Rational Development DOO
• Ivan i Natalija Kokić

Silver sponsors ⚪

psk.rs, OmniStreak, Luka Važić, Miloš Durković, Marjan Radeski, Marjan Stankovic, Nikola Stojiljkovic, Mihailo Tomić, Bojan Jevtic, Jelena Jovanović, Nenad Davidović, Mika Tasich, TRENCH-NS, Nemanja Grujičić, tim011

Special Thanks

• Slobodan Marković - for spreading the word! :)
• Aleksander Segedi - for help around bookkeeping!

📚 Documentation

Citation

@article{YugoGPT,
  author    = "Gordić Aleksa",
  title     = "YugoGPT - an open - source LLM for Serbian, Bosnian, and Croatian languages",
  year      = "2024",
  howpublished = {\url{https://huggingface.co/gordicaleksa/YugoGPT}},
}