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Model: gordicaleksa/YugoGPT Source: Original Platform
2026-05-14 19:40:01 +08:00
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+---
+license: apache-2.0
+---
+
+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](https://dev.runaai.com/)!
+
+Serbian LLM eval results compared to Mistral 7B, LLaMA 2 7B, and GPT2-orao (also see this [LinkedIn post](https://www.linkedin.com/feed/update/urn:li:activity:7143209223722627072/)):
+![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/6169e6f39e1ad4ff8735710b/x_eIAYOIYhI2iPt9s5X9c.jpeg)
+
+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](https://huggingface.co/mistralai/Mistral-7B-v0.1).
+
+## Notes
+
+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](https://www.yugochat.com/)) - you can access the models through [RunaAI's API](https://dev.runaai.com/)
+
+# Credits
+
+The data for the project was obtained with the help of [Nikola Ljubešić](https://nljubesi.github.io/), [CLARIN.SI](https://www.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 🌟
+* <b>Ivan</b> (anon)
+* [**Things Solver**](https://thingsolver.com/)
+
+## Gold sponsors 🟡
+* **qq** (anon)
+* [**Adam  Sofronijevic**](https://www.linkedin.com/in/adam-sofronijevic-685b911/)
+* [**Yanado**](https://yanado.com/)
+* [**Mitar Perovic**](https://www.linkedin.com/in/perovicmitar/)
+* [**Nikola Ivancevic**](https://www.linkedin.com/in/nivancevic/)
+* **Rational Development DOO**
+* [**Ivan**](https://www.linkedin.com/in/ivan-kokic-258262175/) i [**Natalija Kokić**](https://www.linkedin.com/in/natalija-kokic-19a458131/)
+
+## Silver sponsors ⚪
+[**psk.rs**](https://psk.rs/), [**OmniStreak**](https://omnistreak.com/), [**Luka Važić**](https://www.linkedin.com/in/vazic/), [**Miloš Durković**](https://www.linkedin.com/in/milo%C5%A1-d-684b99188/), [**Marjan Radeski**](https://www.linkedin.com/in/marjanradeski/), **Marjan Stankovic**, [**Nikola Stojiljkovic**](https://www.linkedin.com/in/nikola-stojiljkovic-10469239/), [**Mihailo Tomić**](https://www.linkedin.com/in/mihailotomic/), [**Bojan Jevtic**](https://www.linkedin.com/in/bojanjevtic/), [**Jelena Jovanović**](https://www.linkedin.com/in/eldumo/), [**Nenad Davidović**](https://www.linkedin.com/in/nenad-davidovic-662ab749/), [**Mika Tasich**](https://www.linkedin.com/in/mikatasich/), [**TRENCH-NS**](https://www.linkedin.com/in/milorad-vukadinovic-64639926/), [**Nemanja Grujičić**](https://twitter.com/nemanjagrujicic), [**tim011**](https://knjigovodja.in.rs/sh)
+
+**Also a big thank you to the following individuals:**
+- [**Slobodan Marković**](https://www.linkedin.com/in/smarkovic/) - for spreading the word! :)
+- [**Aleksander Segedi**](https://www.linkedin.com/in/aleksander-segedi-08430936/) - for help around bookkeeping!
+
+## 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}},
+}
+```