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---
license: apache-2.0
model-index:
- name: YugoGPT
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: AI2 Reasoning Challenge (25-Shot)
type: ai2_arc
config: ARC-Challenge
split: test
args:
num_few_shot: 25
metrics:
- type: acc_norm
value: 58.11
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=gordicaleksa/YugoGPT
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: HellaSwag (10-Shot)
type: hellaswag
split: validation
args:
num_few_shot: 10
metrics:
- type: acc_norm
value: 81.45
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=gordicaleksa/YugoGPT
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU (5-Shot)
type: cais/mmlu
config: all
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 60.68
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=gordicaleksa/YugoGPT
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: TruthfulQA (0-shot)
type: truthful_qa
config: multiple_choice
split: validation
args:
num_few_shot: 0
metrics:
- type: mc2
value: 36.6
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=gordicaleksa/YugoGPT
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: Winogrande (5-shot)
type: winogrande
config: winogrande_xl
split: validation
args:
num_few_shot: 5
metrics:
- type: acc
value: 76.56
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=gordicaleksa/YugoGPT
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: GSM8k (5-shot)
type: gsm8k
config: main
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 30.71
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=gordicaleksa/YugoGPT
name: Open LLM Leaderboard
---
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/)):
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}},
}
```
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_gordicaleksa__YugoGPT)
| Metric |Value|
|---------------------------------|----:|
|Avg. |57.35|
|AI2 Reasoning Challenge (25-Shot)|58.11|
|HellaSwag (10-Shot) |81.45|
|MMLU (5-Shot) |60.68|
|TruthfulQA (0-shot) |36.60|
|Winogrande (5-shot) |76.56|
|GSM8k (5-shot) |30.71|
|