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README.md
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license: mit
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---
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license: mit
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language:
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- sr
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base_model:
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- datatab/YugoGPT-Florida
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pipeline_tag: text2text-generation
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---
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- **Developed by:** datatab
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- **License:** mit
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## π Results
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> Results obtained through the [**Serbian LLM Evaluation Benchmark**](https://huggingface.co/datasets/datatab/serbian-llm-benchmark)
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<table>
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<tr>
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<th><strong>MODEL<strong></th>
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<th><strong>ARC-E<strong></th>
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<th><strong>ARC-C<strong></th>
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<th><strong>Hellaswag<strong></th>
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<th><strong>PiQA<strong></th>
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<th><strong>Winogrande<strong></th>
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<th><strong>BoolQ<strong></th>
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<th><strong>OpenbookQA<strong></th>
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<th><strong>OZ_EVAL<strong></th>
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<th>SCORE</th>
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</tr>
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<tr>
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<td><a href="https://huggingface.co/datatab/YugoGPT-Florida/">YugoGPT-Florida</a></td>
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<td><strong>0.6918<strong></td>
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<td><strong>0.5766<strong></td>
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<td><strong>0.4037<strong></td>
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<td><strong>0.7374<strong></td>
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<td><strong>0.5782<strong></td>
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<td><strong>0.8685<strong></td>
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<td><strong>0.5918<strong></td>
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<td><strong>0.7407<strong></td>
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<td><strong>64,85875<strong></td>
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</tr>
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<tr>
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<td><a href="https://huggingface.co/datatab/Yugo55A-GPT/">Yugo55A-GPT</a></td>
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<td>0.5846</td>
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<td>0.5185</td>
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<td>0.3686</td>
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<td>0.7076</td>
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<td>0.5277</td>
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<td>0.8584</td>
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<td>0.5485</td>
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<td>0.6883</td>
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<td>60,0275</td>
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</tr>
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<tr>
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<td><a href="https://huggingface.co/datatab/Yugo60-GPT">Yugo60-GPT</a></td>
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<td>0.4948</td>
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<td>0.4542</td>
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<td>0.3342</td>
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<td>0.6897</td>
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<td>0.5138</td>
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<td>0.8212</td>
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<td>0.5155</td>
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<td>0.6379</td>
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<td>55,76625</td>
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</tr>
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<tr>
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<td><a href="https://huggingface.co/datatab/Yugo45-GPT">Yugo45-GPT</a></td>
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<td>0.4049</td>
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<td>0.3900</td>
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<td>0.2812</td>
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<td>0.6055</td>
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<td>0.4992</td>
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<td>0.5793</td>
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<td>0.4433</td>
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<td>0.6111</td>
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<td>47,68125</td>
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</tr>
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</table>
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# ποΈ Training Stats
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## π» Usage
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*** Released with permission by datatab *** - GGUF quantized by @MarkoRadojcic
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## π‘ Contributions Welcome!
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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**.
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## π Citation
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Thanks for using **YugoGPT-Florida** β where language learning models meet Serbian precision and creativity! Let's build smarter models together. ποΏ½
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If you find this model useful in your research, please cite it as follows:
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```bibtex
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@article{YugoGPT-Florida},
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title={YugoGPT-Florida},
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author={datatab},
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year={2024},
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url={https://huggingface.co/datatab/YugoGPT-Florida}
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}
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```
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<div id="zastava">
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<div class="grb">
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<img src="https://www.ai.gov.rs/img/logo_60x120-2.png" style="position:relative; left:30px; z-index:10; height:85px">
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</div>
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<table width=100% style="border:0px">
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<<tr style="background-color:#C6363C;width:100%;border:0px;height:30px"><td style="width:100vw"></td></tr>
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<tr style="background-color:#0C4076;width:100%;border:0px;height:30px"><td></td></tr>
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<tr style="background-color:#ffffff;width:100%;border:0px;height:30px"><td></td></tr>
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</table>
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</div>
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<style>
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.ffeat: {
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color:red
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}
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.cover {
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width: 100%;
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margin-bottom: 5pt
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}
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.highlight-container, .highlight {
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position: relative;
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text-decoration:none
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}
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.highlight-container {
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display: inline-block;
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}
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.highlight{
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color:white;
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text-transform:uppercase;
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font-size: 16pt;
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}
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.highlight-container{
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padding:5px 10px
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}
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.highlight-container:before {
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content: " ";
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display: block;
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height: 100%;
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width: 100%;
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margin-left: 0px;
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margin-right: 0px;
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position: absolute;
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background: #e80909;
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transform: rotate(2deg);
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top: -1px;
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left: -1px;
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border-radius: 20% 25% 20% 24%;
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padding: 10px 18px 18px 10px;
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}
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div.grb, #zastava>table {
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position:absolute;
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top:0px;
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left: 0px;
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margin:0px
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}
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div.grb>img, #zastava>table{
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margin:0px
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}
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#zastava {
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position: relative;
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margin-bottom:120px
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}
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p {
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font-size:14pt
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}
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</style>
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