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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: |
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![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/6169e6f39e1ad4ff8735710b/x_eIAYOIYhI2iPt9s5X9c.jpeg) |
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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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``` |