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| license: apache-2.0 |
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| [](https://hf.co/QuantFactory) |
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| # QuantFactory/YugoGPT-GGUF |
| This is quantized version of [gordicaleksa/YugoGPT](https://huggingface.co/gordicaleksa/YugoGPT) created using llama.cpp |
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| # Original Model Card |
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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 🌟 |
| * <b>Ivan</b> (anon) |
| * [**Things Solver**](https://thingsolver.com/) |
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| ## 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/) |
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| ## 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) |
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| **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! |
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| ## Citation |
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| ``` |
| @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}}, |
| } |
| ``` |
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