61 lines
3.4 KiB
Markdown
61 lines
3.4 KiB
Markdown
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---
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license: apache-2.0
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---
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This repo contains YugoGPT - the best open-source base 7B LLM for BCS (Bosnian, Croatian, Serbian) languages developed by Aleksa Gordić.
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You can access more powerful iterations of YugoGPT already through the recently announced [RunaAI's API platform](https://dev.runaai.com/)!
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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/)):
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Eval was computed using https://github.com/gordicaleksa/serbian-llm-eval
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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).
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## Notes
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1) YugoGPT is a base model and therefore does not have any moderation mechanisms.
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2) Since it's a base model it won't follow your instructions as it's just a powerful autocomplete engine.
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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/)
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# Credits
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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!
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# Project Sponsors
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A big thank you to the project sponsors!
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## Platinum sponsors 🌟
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* <b>Ivan</b> (anon)
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* [**Things Solver**](https://thingsolver.com/)
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## Gold sponsors 🟡
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* **qq** (anon)
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* [**Adam Sofronijevic**](https://www.linkedin.com/in/adam-sofronijevic-685b911/)
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* [**Yanado**](https://yanado.com/)
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* [**Mitar Perovic**](https://www.linkedin.com/in/perovicmitar/)
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* [**Nikola Ivancevic**](https://www.linkedin.com/in/nivancevic/)
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* **Rational Development DOO**
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* [**Ivan**](https://www.linkedin.com/in/ivan-kokic-258262175/) i [**Natalija Kokić**](https://www.linkedin.com/in/natalija-kokic-19a458131/)
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## Silver sponsors ⚪
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[**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)
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**Also a big thank you to the following individuals:**
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- [**Slobodan Marković**](https://www.linkedin.com/in/smarkovic/) - for spreading the word! :)
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- [**Aleksander Segedi**](https://www.linkedin.com/in/aleksander-segedi-08430936/) - for help around bookkeeping!
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## Citation
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```
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@article{YugoGPT,
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author = "Gordić Aleksa",
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title = "YugoGPT - an open-source LLM for Serbian, Bosnian, and Croatian languages",
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year = "2024"
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howpublished = {\url{https://huggingface.co/gordicaleksa/YugoGPT}},
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}
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```
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