|
--- |
|
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| |
|
|
|
|
