metadata

license: mit
language:
  - sr
base_model:
  - datatab/YugoGPT-Florida
pipeline_tag: text2text-generation

Developed by: datatab
License: mit

🏆 Results

Results obtained through the Serbian LLM Evaluation Benchmark

MODEL	ARC-E	ARC-C	Hellaswag	PiQA	Winogrande	BoolQ	OpenbookQA	OZ_EVAL	SCORE
YugoGPT-Florida	0.6918	0.5766	0.4037	0.7374	0.5782	0.8685	0.5918	0.7407	64,85875
Yugo55A-GPT	0.5846	0.5185	0.3686	0.7076	0.5277	0.8584	0.5485	0.6883	60,0275
Yugo60-GPT	0.4948	0.4542	0.3342	0.6897	0.5138	0.8212	0.5155	0.6379	55,76625
Yugo45-GPT	0.4049	0.3900	0.2812	0.6055	0.4992	0.5793	0.4433	0.6111	47,68125

🏋️ Training Stats

💻 Usage

*** Released with permission by datatab *** - GGUF quantized by @MarkoRadojcic

💡 Contributions Welcome!

Have ideas, bug fixes, or want to add a custom model? We'd love for you to be part of the journey! Contributions help grow and enhance the capabilities of the YugoGPT-Florida.

📜 Citation

Thanks for using YugoGPT-Florida — where language learning models meet Serbian precision and creativity! Let's build smarter models together. 🚀�

If you find this model useful in your research, please cite it as follows:

@article{YugoGPT-Florida},
  title={YugoGPT-Florida},
  author={datatab},
  year={2024},
  url={https://huggingface.co/datatab/YugoGPT-Florida}
}