Update README.md (#2)
Browse files- Update README.md (6b9ce5bc7691bbf1c131db2c4b62110fd7fa91d5)
Co-authored-by: Amr Mohamed <[email protected]>
README.md
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@@ -354,378 +354,6 @@ Our training dataset [Darija-SFT-Mixture](https://huggingface.co/datasets/MBZUAI
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Atlas-Chat models are based on Gemma 2 models. The Atlas-Chat models were trained using 8 Nvidia's A100 80 GB GPUs in parallel using FSDP on AWS Sagemaker. The model is trained using HuggingFace transformers and parameter-efficient fine-tuning with LoRA rank of 256.
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<!--
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## Evaluation
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The Atlas-Chat models were evaluated on a comprehensive suite of tasks using various datasets and benchmarks to assess their performance across multiple dimensions. These included tasks such as:
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* **DarijaMMLU:** A Darija version of ArabicMMLU and MMLU benchmarks translated from MSA and English respectively.
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* **DarijaHellaSwag:** A Darija version of HellaSwag.
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* **Belebele Ary_Arab:** Belebele is a multiple-choice machine reading comprehension dataset published by Facebook spanning 122 language variants. The Evaluation is done on the Ary_Arab part of Belebele that refers to Darija.
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* **Sentiment Analysis.**
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* **Translation:** Including six directions and four languages: Darija, MSA, English and French.
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* **Transliteration:** Transforming a sentence from Darija (written in Arabic characters) to Arabizi (Written in Latin characters) and vice-versa.
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* **Summarization.**
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The models were compared against a collection of existing open-source Arabic models to gauge their effectiveness, with a particular focus on performance in Darija. All scores are based on zero-shot performance. The prompts are written mainly in Darija. The metric used for DarijaMMLU, DarijaHellaSwag, Belebele Ary and Sentiment Analysis is the normalized accuracy. We used [Language Model Evaluation Harness](https://github.com/MBZUAI-Paris/lm-evaluation-harness-atlas-chat) to conduct these evaluations.
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<table>
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<tr>
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<td rowspan="2">Model</td>
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<td rowspan="2"><a href="https://huggingface.co/datasets/MBZUAI-Paris/DarijaMMLU" target="_blank">DarijaMMLU</a></td>
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<td rowspan="2"><a href="MBZUAI-Paris/DarijaHellaSwag" target="_blank">DarijaHellaSwag</a></td>
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<td rowspan="2"><a href="https://huggingface.co/datasets/facebook/belebele/viewer/ary_Arab" target="_blank">Belebele Ary</a></td>
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<td rowspan="2"><a href="https://huggingface.co/datasets/MBZUAI-Paris/DarijaBench" target="_blank">Sentiment Analysis</a></td>
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<td colspan="2"><a href="https://huggingface.co/datasets/MBZUAI-Paris/DarijaBench" target="_blank">DODa-10k (Translation)</a></td>
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<td colspan="2"><a href="https://huggingface.co/datasets/MBZUAI-Paris/DarijaBench" target="_blank">MADAR (Translation)</a></td>
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<td colspan="2"><a href="https://huggingface.co/datasets/MBZUAI-Paris/DarijaBench" target="_blank">FLORES+ (Translation)</a></td>
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<td colspan="2"><a href="https://huggingface.co/datasets/MBZUAI-Paris/DarijaBench" target="_blank">NLLB-Seed (Translation)</a></td>
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<td colspan="2"><a href="https://huggingface.co/datasets/MBZUAI-Paris/DarijaBench" target="_blank">DODa-10k (Transliteration)</a></td>
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<td rowspan="2"><a href="https://huggingface.co/datasets/MBZUAI-Paris/DarijaBench" target="_blank">MArSum (Summarization)</a><br/>(LLM as a judge)</td>
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</tr>
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<tr>
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<td>BLEU</td>
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<td>chrF</td>
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<td>BLEU</td>
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<td>chrF</td>
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<td>BLEU</td>
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<td>chrF</td>
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<td>BLEU</td>
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<td>chrF</td>
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<td>BLEU</td>
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<td>chrF</td>
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</tr>
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<tr>
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<td><a href="https://huggingface.co/inceptionai/jais-family-1p3b-chat" target="_blank">jais-family-1p3b-chat</a></td>
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<td>35.39</td>
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<td>32.51</td>
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<td>38.33</td>
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<td>45.29</td>
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<td>00.13</td>
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<td>06.18</td>
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<td>00.50</td>
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<td>15.43</td>
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<td>02.44</td>
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<td>19.14</td>
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<td>01.99</td>
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<td>12.60</td>
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<td>00.01</td>
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<td>03.01</td>
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<td>00.50</td>
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</tr>
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<tr>
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<td><a href="https://huggingface.co/inceptionai/jais-family-2p7b-chat" target="_blank">jais-family-2p7b-chat</a></td>
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<td>37.44</td>
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<td>34.49</td>
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<td>44.11</td>
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<td>51.56</td>
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<td>00.25</td>
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<td>07.46</td>
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<td>00.62</td>
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<td>16.36</td>
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<td>04.25</td>
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<td>18.22</td>
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<td>03.10</td>
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<td>08.19</td>
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<td>00.01</td>
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<td>03.27</td>
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<td>00.90</td>
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</tr>
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<tr>
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<td><a href="https://huggingface.co/google/gemma-2-2b-it" target="_blank">gemma-2-2b-it</a></td>
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<td>28.58</td>
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<td>32.42</td>
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<td>25.22</td>
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<td>53.36</td>
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<td>00.10</td>
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<td>04.96</td>
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<td>00.12</td>
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<td>06.66</td>
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<td>01.55</td>
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<td>18.59</td>
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<td>02.78</td>
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<td>23.69</td>
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<td>00.01</td>
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<td>02.08</td>
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<td>06.80</td>
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</tr>
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<tr>
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<td><a href="meta-llama/Llama-3.2-1B-Instruct" target="_blank">Llama-3.2-1B-Instruct</a></td>
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<td>27.66</td>
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<td>26.88</td>
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<td>28.89</td>
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<td>46.27</td>
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<td>00.07</td>
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<td>05.95</td>
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<td>00.80</td>
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<td>18.71</td>
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<td>04.53</td>
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<td>18.39</td>
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<td>04.52</td>
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<td>17.06</td>
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<td>00.02</td>
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<td>03.74</td>
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<td>08.23</td>
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</tr>
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<tr>
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<td><a href="meta-llama/Llama-3.2-3B-Instruct" target="_blank">Llama-3.2-3B-Instruct</a></td>
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<td>32.60</td>
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<td>28.33</td>
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<td>38.00</td>
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<td>49.20</td>
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<td>00.62</td>
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<td>13.67</td>
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<td>01.18</td>
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<td>22.12</td>
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<td>08.59</td>
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<td>35.21</td>
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<td>13.75</td>
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<td>43.63</td>
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<td>00.21</td>
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<td>09.68</td>
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<td>08.23</td>
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</tr>
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<tr>
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<td><strong><a href="https://huggingface.co/MBZUAI-Paris/Atlas-Chat-2B" target="_blank">Atlas-Chat-2B</a></strong></td>
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<td><b>44.97</td>
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<td><b>41.48</td>
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<td><b>53.89</td>
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| 492 |
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<td><b>73.99</td>
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<td><b>22.76</td>
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<td><b>44.86</td>
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<td><b>16.67</td>
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<td><b>41.64</td>
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| 497 |
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<td><b>14.92</td>
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<td><b>43.03</td>
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| 499 |
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<td><b>23.88</td>
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<td><b>52.19</td>
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| 501 |
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<td><b>08.18</td>
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<td><b>21.54</td>
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<td><b>55.22</td>
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</tr>
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<tr style="border-top: 4px solid;"></tr>
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<tr>
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<td><a href="https://huggingface.co/inceptionai/jais-family-6p7b-chat" target="_blank">jais-family-6p7b-chat</a></td>
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<td>39.96</td>
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| 509 |
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<td>41.57</td>
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| 510 |
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<td>51.22</td>
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| 511 |
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<td>56.78</td>
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| 512 |
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<td>00.73</td>
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| 513 |
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<td>11.85</td>
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| 514 |
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<td>01.88</td>
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| 515 |
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<td>23.22</td>
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| 516 |
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<td>04.25</td>
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| 517 |
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<td>18.22</td>
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| 518 |
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<td>04.62</td>
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| 519 |
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<td>20.22</td>
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| 520 |
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<td>00.02</td>
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| 521 |
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<td>03.79</td>
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| 522 |
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<td>03.02</td>
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</tr>
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<tr>
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<td><a href="https://huggingface.co/inceptionai/jais-adapted-7b-chat" target="_blank">jais-adapted-7b-chat</a></td>
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| 526 |
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<td>39.30</td>
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| 527 |
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<td>35.19</td>
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| 528 |
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<td>43.67</td>
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| 529 |
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<td>52.72</td>
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| 530 |
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<td>00.60</td>
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| 531 |
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<td>09.43</td>
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| 532 |
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<td>03.45</td>
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| 533 |
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<td>25.88</td>
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| 534 |
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<td>07.25</td>
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| 535 |
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<td>23.21</td>
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| 536 |
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<td>01.25</td>
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| 537 |
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<td>02.22</td>
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| 538 |
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<td>00.04</td>
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| 539 |
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<td>03.24</td>
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| 540 |
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<td>02.82</td>
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| 541 |
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</tr>
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| 542 |
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<tr>
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| 543 |
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<td><a href="https://huggingface.co/inceptionai/jais-family-13b-chat" target="_blank">jais-family-13b-chat</a></td>
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| 544 |
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<td>45.11</td>
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| 545 |
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<td>43.90</td>
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| 546 |
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<td>58.67</td>
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| 547 |
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<td>41.73</td>
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| 548 |
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<td>00.92</td>
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| 549 |
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<td>11.71</td>
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| 550 |
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<td>04.01</td>
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| 551 |
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<td>28.48</td>
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| 552 |
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<td>05.70</td>
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| 553 |
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<td>27.24</td>
|
| 554 |
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<td>04.50</td>
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| 555 |
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<td>22.56</td>
|
| 556 |
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<td>00.03</td>
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| 557 |
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<td>03.57</td>
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| 558 |
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<td>01.77</td>
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| 559 |
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</tr>
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| 560 |
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<tr>
|
| 561 |
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<td><a href="https://huggingface.co/inceptionai/jais-adapted-13b-chat" target="_blank">jais-adapted-13b-chat</a></td>
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| 562 |
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<td>45.20</td>
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| 563 |
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<td>40.65</td>
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| 564 |
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<td>49.67</td>
|
| 565 |
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<td>66.68</td>
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| 566 |
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<td>00.87</td>
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| 567 |
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<td>10.52</td>
|
| 568 |
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<td>04.02</td>
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| 569 |
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<td>25.29</td>
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| 570 |
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<td>06.66</td>
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| 571 |
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<td>23.46</td>
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| 572 |
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<td>20.14</td>
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| 573 |
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<td>47.87</td>
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| 574 |
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<td>0.04</td>
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| 575 |
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<td>04.77</td>
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| 576 |
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<td>01.92</td>
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| 577 |
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</tr>
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<tr>
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<td><a href="https://huggingface.co/FreedomIntelligence/AceGPT-7B-chat" target="_blank">AceGPT-7b-chat</a></td>
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| 580 |
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<td>35.98</td>
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| 581 |
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<td>36.57</td>
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| 582 |
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<td>30.11</td>
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| 583 |
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<td>40.23</td>
|
| 584 |
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<td>00.44</td>
|
| 585 |
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<td>11.33</td>
|
| 586 |
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<td>01.05</td>
|
| 587 |
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<td>19.24</td>
|
| 588 |
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<td>06.92</td>
|
| 589 |
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<td>36.03</td>
|
| 590 |
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<td>11.05</td>
|
| 591 |
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<td>44.55</td>
|
| 592 |
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<td>00.06</td>
|
| 593 |
-
<td>04.74</td>
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| 594 |
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<td>02.28</td>
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| 595 |
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</tr>
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| 596 |
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<tr>
|
| 597 |
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<td><a href="https://huggingface.co/FreedomIntelligence/AceGPT-13B-chat" target="_blank">AceGPT-13b-chat</a></td>
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| 598 |
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<td>41.09</td>
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| 599 |
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<td>38.35</td>
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| 600 |
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<td>33.11</td>
|
| 601 |
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<td>59.58</td>
|
| 602 |
-
<td>00.98</td>
|
| 603 |
-
<td>16.70</td>
|
| 604 |
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<td>00.81</td>
|
| 605 |
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<td>20.23</td>
|
| 606 |
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<td>08.73</td>
|
| 607 |
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<td>40.76</td>
|
| 608 |
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<td>14.02</td>
|
| 609 |
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<td>48.28</td>
|
| 610 |
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<td>00.12</td>
|
| 611 |
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<td>06.32</td>
|
| 612 |
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<td>02.80</td>
|
| 613 |
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</tr>
|
| 614 |
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<tr>
|
| 615 |
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<td><a href="https://huggingface.co/google/gemma-2-9b-it" target="_blank">gemma-2-9b-it</a></td>
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| 616 |
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<td>35.91</td>
|
| 617 |
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<td>42.43</td>
|
| 618 |
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<td>31.00</td>
|
| 619 |
-
<td>59.87</td>
|
| 620 |
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<td>03.10</td>
|
| 621 |
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<td>19.16</td>
|
| 622 |
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<td>01.72</td>
|
| 623 |
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<td>24.35</td>
|
| 624 |
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<td>05.18</td>
|
| 625 |
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<td>36.96</td>
|
| 626 |
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<td>08.23</td>
|
| 627 |
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<td>43.57</td>
|
| 628 |
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<td>00.17</td>
|
| 629 |
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<td>09.14</td>
|
| 630 |
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<td>13.81</td>
|
| 631 |
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</tr>
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| 632 |
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<tr>
|
| 633 |
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<td><a href="meta-llama/Meta-Llama-3.1-8B-Instruct" target="_blank">Llama-3.1-8B-Instruct</a></td>
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| 634 |
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<td>44.13</td>
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| 635 |
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<td>38.24</td>
|
| 636 |
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<td>47.00</td>
|
| 637 |
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<td>44.08</td>
|
| 638 |
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<td>00.92</td>
|
| 639 |
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<td>14.19</td>
|
| 640 |
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<td>01.46</td>
|
| 641 |
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<td>23.82</td>
|
| 642 |
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<td>08.89</td>
|
| 643 |
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<td>33.08</td>
|
| 644 |
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<td>11.85</td>
|
| 645 |
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<td>35.51</td>
|
| 646 |
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<td>00.11</td>
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| 647 |
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<td>06.02</td>
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| 648 |
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<td>01.28</td>
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| 649 |
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</tr>
|
| 650 |
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<tr>
|
| 651 |
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<td><strong><a href="https://huggingface.co/MBZUAI-Paris/Atlas-Chat-9B" target="_blank">Atlas-Chat-9B</a></strong></td>
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| 652 |
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<td><b>58.23</td>
|
| 653 |
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<td><b>57.75</td>
|
| 654 |
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<td><b>74.56</td>
|
| 655 |
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<td><b>81.89</td>
|
| 656 |
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<td><b>28.08</td>
|
| 657 |
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<td><b>50.48</td>
|
| 658 |
-
<td><b>18.16</td>
|
| 659 |
-
<td><b>43.91</td>
|
| 660 |
-
<td><b>18.63</td>
|
| 661 |
-
<td><b>47.53</td>
|
| 662 |
-
<td><b>29.98</td>
|
| 663 |
-
<td><b>58.26</td>
|
| 664 |
-
<td><b>22.08</td>
|
| 665 |
-
<td><b>34.17</td>
|
| 666 |
-
<td><b>59.76</td>
|
| 667 |
-
</tr>
|
| 668 |
-
<tr style="border-top: 4px solid;"></tr>
|
| 669 |
-
<tr>
|
| 670 |
-
<td><a href="https://huggingface.co/inceptionai/jais-family-30b-8k-chat" target="_blank">jais-family-30b-8k-chat</a></td>
|
| 671 |
-
<td>51.88</td>
|
| 672 |
-
<td>35.61</td>
|
| 673 |
-
<td>65.67</td>
|
| 674 |
-
<td>56.73</td>
|
| 675 |
-
<td>01.10</td>
|
| 676 |
-
<td>14.40</td>
|
| 677 |
-
<td>01.67</td>
|
| 678 |
-
<td>23.37</td>
|
| 679 |
-
<td>08.52</td>
|
| 680 |
-
<td>35.41</td>
|
| 681 |
-
<td>13.71</td>
|
| 682 |
-
<td>41.33</td>
|
| 683 |
-
<td>00.05</td>
|
| 684 |
-
<td>04.48</td>
|
| 685 |
-
<td>00.46</td>
|
| 686 |
-
</tr>
|
| 687 |
-
<tr>
|
| 688 |
-
<td><a href="https://huggingface.co/google/gemma-2-27b-it" target="_blank">gemma-2-27b-it</a></td>
|
| 689 |
-
<td>36.47</td>
|
| 690 |
-
<td>37.04</td>
|
| 691 |
-
<td>35.78</td>
|
| 692 |
-
<td>57.59</td>
|
| 693 |
-
<td>00.67</td>
|
| 694 |
-
<td>13.04</td>
|
| 695 |
-
<td>01.74</td>
|
| 696 |
-
<td>24.63</td>
|
| 697 |
-
<td>05.17</td>
|
| 698 |
-
<td>37.08</td>
|
| 699 |
-
<td>07.36</td>
|
| 700 |
-
<td>42.49</td>
|
| 701 |
-
<td>00.03</td>
|
| 702 |
-
<td>04.94</td>
|
| 703 |
-
<td>11.10</td>
|
| 704 |
-
</tr>
|
| 705 |
-
<tr>
|
| 706 |
-
<td><strong><a href="https://huggingface.co/MBZUAI-Paris/Atlas-Chat-27B" target="_blank">Atlas-Chat-27B</a></strong></td>
|
| 707 |
-
<td><b>61.95</td>
|
| 708 |
-
<td><b>48.37</td>
|
| 709 |
-
<td><b>75.67</td>
|
| 710 |
-
<td>73.00</td>
|
| 711 |
-
<td><b>29.55</td>
|
| 712 |
-
<td><b>51.74</td>
|
| 713 |
-
<td><b>19.66</td>
|
| 714 |
-
<td><b>45.65</td>
|
| 715 |
-
<td><b>20.34</td>
|
| 716 |
-
<td><b>49.19</td>
|
| 717 |
-
<td><b>31.61</td>
|
| 718 |
-
<td><b>59.37</td>
|
| 719 |
-
<td><b>33.03</td>
|
| 720 |
-
<td><b>40.95</td>
|
| 721 |
-
<td><b>60.70</td>
|
| 722 |
-
</tr>
|
| 723 |
-
|
| 724 |
-
|
| 725 |
-
|
| 726 |
-
</table>
|
| 727 |
-
-->
|
| 728 |
-
|
| 729 |
## Evaluation
|
| 730 |
The Atlas-Chat models were evaluated on a comprehensive suite of tasks using various datasets and benchmarks to assess their performance across multiple dimensions. These included tasks such as:
|
| 731 |
|
|
@@ -752,14 +380,14 @@ The models were compared against a collection of existing open-source Arabic mod
|
|
| 752 |
<tr>
|
| 753 |
<td><a href="https://huggingface.co/inceptionai/jais-family-1p3b-chat" target="_blank">jais-family-1p3b-chat</a></td>
|
| 754 |
<td>35.39</td>
|
| 755 |
-
<td>
|
| 756 |
<td>38.33</td>
|
| 757 |
<td>35.56</td>
|
| 758 |
</tr>
|
| 759 |
<tr>
|
| 760 |
<td><a href="https://huggingface.co/inceptionai/jais-family-2p7b-chat" target="_blank">jais-family-2p7b-chat</a></td>
|
| 761 |
<td>37.44</td>
|
| 762 |
-
<td>
|
| 763 |
<td>44.11</td>
|
| 764 |
<td>52.97</td>
|
| 765 |
</tr>
|
|
@@ -787,7 +415,7 @@ The models were compared against a collection of existing open-source Arabic mod
|
|
| 787 |
<tr>
|
| 788 |
<td><strong><a href="https://huggingface.co/MBZUAI-Paris/Atlas-Chat-2B" target="_blank">Atlas-Chat-2B</a></strong></td>
|
| 789 |
<td><b>44.97</b></td>
|
| 790 |
-
<td><b>
|
| 791 |
<td><b>53.89</b></td>
|
| 792 |
<td><b>92.31</b></td>
|
| 793 |
</tr>
|
|
@@ -795,35 +423,35 @@ The models were compared against a collection of existing open-source Arabic mod
|
|
| 795 |
<tr>
|
| 796 |
<td><a href="https://huggingface.co/inceptionai/jais-family-6p7b-chat" target="_blank">jais-family-6p7b-chat</a></td>
|
| 797 |
<td>39.96</td>
|
| 798 |
-
<td>
|
| 799 |
<td>51.22</td>
|
| 800 |
<td>65.18</td>
|
| 801 |
</tr>
|
| 802 |
<tr>
|
| 803 |
<td><a href="https://huggingface.co/inceptionai/jais-adapted-7b-chat" target="_blank">jais-adapted-7b-chat</a></td>
|
| 804 |
<td>39.30</td>
|
| 805 |
-
<td>
|
| 806 |
<td>43.67</td>
|
| 807 |
<td>61.84</td>
|
| 808 |
</tr>
|
| 809 |
<tr>
|
| 810 |
<td><a href="https://huggingface.co/inceptionai/jais-family-13b-chat" target="_blank">jais-family-13b-chat</a></td>
|
| 811 |
<td>45.11</td>
|
| 812 |
-
<td>
|
| 813 |
<td>58.67</td>
|
| 814 |
<td>69.93</td>
|
| 815 |
</tr>
|
| 816 |
<tr>
|
| 817 |
<td><a href="https://huggingface.co/inceptionai/jais-adapted-13b-chat" target="_blank">jais-adapted-13b-chat</a></td>
|
| 818 |
<td>45.20</td>
|
| 819 |
-
<td>
|
| 820 |
<td>49.67</td>
|
| 821 |
<td>77.52</td>
|
| 822 |
</tr>
|
| 823 |
<tr>
|
| 824 |
<td><a href="https://huggingface.co/FreedomIntelligence/AceGPT-7B-chat" target="_blank">AceGPT-7b-chat</a></td>
|
| 825 |
<td>35.98</td>
|
| 826 |
-
<td>
|
| 827 |
<td>30.11</td>
|
| 828 |
<td>47.31</td>
|
| 829 |
</tr>
|
|
@@ -837,21 +465,21 @@ The models were compared against a collection of existing open-source Arabic mod
|
|
| 837 |
<tr>
|
| 838 |
<td><a href="https://huggingface.co/google/gemma-2-9b-it" target="_blank">gemma-2-9b-it</a></td>
|
| 839 |
<td>35.91</td>
|
| 840 |
-
<td>
|
| 841 |
<td>31.00</td>
|
| 842 |
<td>90.86</td>
|
| 843 |
</tr>
|
| 844 |
<tr>
|
| 845 |
<td><a href="meta-llama/Meta-Llama-3.1-8B-Instruct" target="_blank">Llama-3.1-8B-Instruct</a></td>
|
| 846 |
<td>44.13</td>
|
| 847 |
-
<td>
|
| 848 |
<td>47.00</td>
|
| 849 |
<td>78.08</td>
|
| 850 |
</tr>
|
| 851 |
<tr>
|
| 852 |
<td><strong><a href="https://huggingface.co/MBZUAI-Paris/Atlas-Chat-9B" target="_blank">Atlas-Chat-9B</a></strong></td>
|
| 853 |
<td><b>58.23</b></td>
|
| 854 |
-
<td><b>
|
| 855 |
<td><b>74.56</b></td>
|
| 856 |
<td><b>95.62</b></td>
|
| 857 |
</tr>
|
|
|
|
| 354 |
Atlas-Chat models are based on Gemma 2 models. The Atlas-Chat models were trained using 8 Nvidia's A100 80 GB GPUs in parallel using FSDP on AWS Sagemaker. The model is trained using HuggingFace transformers and parameter-efficient fine-tuning with LoRA rank of 256.
|
| 355 |
|
| 356 |
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|
| 357 |
## Evaluation
|
| 358 |
The Atlas-Chat models were evaluated on a comprehensive suite of tasks using various datasets and benchmarks to assess their performance across multiple dimensions. These included tasks such as:
|
| 359 |
|
|
|
|
| 380 |
<tr>
|
| 381 |
<td><a href="https://huggingface.co/inceptionai/jais-family-1p3b-chat" target="_blank">jais-family-1p3b-chat</a></td>
|
| 382 |
<td>35.39</td>
|
| 383 |
+
<td>27.71</td>
|
| 384 |
<td>38.33</td>
|
| 385 |
<td>35.56</td>
|
| 386 |
</tr>
|
| 387 |
<tr>
|
| 388 |
<td><a href="https://huggingface.co/inceptionai/jais-family-2p7b-chat" target="_blank">jais-family-2p7b-chat</a></td>
|
| 389 |
<td>37.44</td>
|
| 390 |
+
<td>29.10</td>
|
| 391 |
<td>44.11</td>
|
| 392 |
<td>52.97</td>
|
| 393 |
</tr>
|
|
|
|
| 415 |
<tr>
|
| 416 |
<td><strong><a href="https://huggingface.co/MBZUAI-Paris/Atlas-Chat-2B" target="_blank">Atlas-Chat-2B</a></strong></td>
|
| 417 |
<td><b>44.97</b></td>
|
| 418 |
+
<td><b>35.08</b></td>
|
| 419 |
<td><b>53.89</b></td>
|
| 420 |
<td><b>92.31</b></td>
|
| 421 |
</tr>
|
|
|
|
| 423 |
<tr>
|
| 424 |
<td><a href="https://huggingface.co/inceptionai/jais-family-6p7b-chat" target="_blank">jais-family-6p7b-chat</a></td>
|
| 425 |
<td>39.96</td>
|
| 426 |
+
<td>32.64</td>
|
| 427 |
<td>51.22</td>
|
| 428 |
<td>65.18</td>
|
| 429 |
</tr>
|
| 430 |
<tr>
|
| 431 |
<td><a href="https://huggingface.co/inceptionai/jais-adapted-7b-chat" target="_blank">jais-adapted-7b-chat</a></td>
|
| 432 |
<td>39.30</td>
|
| 433 |
+
<td>29.55</td>
|
| 434 |
<td>43.67</td>
|
| 435 |
<td>61.84</td>
|
| 436 |
</tr>
|
| 437 |
<tr>
|
| 438 |
<td><a href="https://huggingface.co/inceptionai/jais-family-13b-chat" target="_blank">jais-family-13b-chat</a></td>
|
| 439 |
<td>45.11</td>
|
| 440 |
+
<td>33.98</td>
|
| 441 |
<td>58.67</td>
|
| 442 |
<td>69.93</td>
|
| 443 |
</tr>
|
| 444 |
<tr>
|
| 445 |
<td><a href="https://huggingface.co/inceptionai/jais-adapted-13b-chat" target="_blank">jais-adapted-13b-chat</a></td>
|
| 446 |
<td>45.20</td>
|
| 447 |
+
<td>32.84</td>
|
| 448 |
<td>49.67</td>
|
| 449 |
<td>77.52</td>
|
| 450 |
</tr>
|
| 451 |
<tr>
|
| 452 |
<td><a href="https://huggingface.co/FreedomIntelligence/AceGPT-7B-chat" target="_blank">AceGPT-7b-chat</a></td>
|
| 453 |
<td>35.98</td>
|
| 454 |
+
<td>30.33</td>
|
| 455 |
<td>30.11</td>
|
| 456 |
<td>47.31</td>
|
| 457 |
</tr>
|
|
|
|
| 465 |
<tr>
|
| 466 |
<td><a href="https://huggingface.co/google/gemma-2-9b-it" target="_blank">gemma-2-9b-it</a></td>
|
| 467 |
<td>35.91</td>
|
| 468 |
+
<td>32.19</td>
|
| 469 |
<td>31.00</td>
|
| 470 |
<td>90.86</td>
|
| 471 |
</tr>
|
| 472 |
<tr>
|
| 473 |
<td><a href="meta-llama/Meta-Llama-3.1-8B-Instruct" target="_blank">Llama-3.1-8B-Instruct</a></td>
|
| 474 |
<td>44.13</td>
|
| 475 |
+
<td>31.40</td>
|
| 476 |
<td>47.00</td>
|
| 477 |
<td>78.08</td>
|
| 478 |
</tr>
|
| 479 |
<tr>
|
| 480 |
<td><strong><a href="https://huggingface.co/MBZUAI-Paris/Atlas-Chat-9B" target="_blank">Atlas-Chat-9B</a></strong></td>
|
| 481 |
<td><b>58.23</b></td>
|
| 482 |
+
<td><b>43.65</b></td>
|
| 483 |
<td><b>74.56</b></td>
|
| 484 |
<td><b>95.62</b></td>
|
| 485 |
</tr>
|