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QuantFactory/YugoGPT-GGUF
YugoGPT-GGUF is a machine learning model from QuantFactory. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
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From the Hugging Face model README
This is quantized version of gordicaleksa/YugoGPT created using llama.cpp
This repo contains YugoGPT - the best open-source base 7B LLM 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!
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
It was trained on tens of billions of BCS tokens and is based off of Mistral 7B.
YugoGPT is a base model and therefore does not have any moderation mechanisms.
Since it's a base model it won't follow your instructions as it's just a powerful autocomplete engine.
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
The data for the project was obtained with the help of Nikola Ljubešić, CLARIN.SI, and CLASSLA. Thank you!
A big thank you to the project 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
Also a big thank you to the following individuals:
@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}},
}