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  1. results/cross_lingual/few_shot/cross_logiqa_no_prompt.csv +1 -0
  2. results/cross_lingual/few_shot/cross_mmlu_no_prompt.csv +1 -0
  3. results/cross_lingual/few_shot/cross_xquad_no_prompt.csv +1 -0
  4. results/cross_lingual/zero_shot/cross_logiqa.csv +1 -2
  5. results/cross_lingual/zero_shot/cross_logiqa_no_prompt.csv +3 -0
  6. results/cross_lingual/zero_shot/cross_mmlu.csv +1 -2
  7. results/cross_lingual/zero_shot/cross_mmlu_no_prompt.csv +3 -0
  8. results/cross_lingual/zero_shot/cross_xquad.csv +3 -2
  9. results/cross_lingual/zero_shot/cross_xquad_no_prompt.csv +3 -0
  10. results/cultural_reasoning/zero_shot/cn_eval.csv +1 -2
  11. results/cultural_reasoning/zero_shot/ph_eval.csv +1 -2
  12. results/cultural_reasoning/zero_shot/sg_eval.csv +1 -2
  13. results/cultural_reasoning/zero_shot/sg_eval_v1_cleaned.csv +1 -2
  14. results/cultural_reasoning/zero_shot/sg_eval_v2_mcq.csv +1 -2
  15. results/cultural_reasoning/zero_shot/sg_eval_v2_open.csv +1 -2
  16. results/cultural_reasoning/zero_shot/us_eval.csv +1 -2
  17. results/dialogue/zero_shot/dialogsum.csv +1 -2
  18. results/dialogue/zero_shot/dream.csv +1 -2
  19. results/dialogue/zero_shot/samsum.csv +1 -2
  20. results/emotion/zero_shot/ind_emotion.csv +1 -2
  21. results/emotion/zero_shot/sst2.csv +1 -2
  22. results/flores_translation/zero_shot/ind2eng.csv +1 -2
  23. results/flores_translation/zero_shot/vie2eng.csv +1 -2
  24. results/flores_translation/zero_shot/zho2eng.csv +1 -2
  25. results/flores_translation/zero_shot/zsm2eng.csv +1 -2
  26. results/fundamental_nlp_tasks/zero_shot/c3.csv +1 -2
  27. results/fundamental_nlp_tasks/zero_shot/cola.csv +1 -2
  28. results/fundamental_nlp_tasks/zero_shot/mnli.csv +1 -2
  29. results/fundamental_nlp_tasks/zero_shot/mrpc.csv +2 -2
  30. results/fundamental_nlp_tasks/zero_shot/ocnli.csv +1 -2
  31. results/fundamental_nlp_tasks/zero_shot/qnli.csv +1 -2
  32. results/fundamental_nlp_tasks/zero_shot/qqp.csv +1 -2
  33. results/fundamental_nlp_tasks/zero_shot/rte.csv +2 -2
  34. results/fundamental_nlp_tasks/zero_shot/wnli.csv +2 -2
  35. results/general_reasoning/zero_shot/c_eval.csv +1 -2
  36. results/general_reasoning/zero_shot/cmmlu.csv +1 -2
  37. results/general_reasoning/zero_shot/indommlu.csv +1 -2
  38. results/general_reasoning/zero_shot/mmlu.csv +2 -2
  39. results/general_reasoning/zero_shot/zbench.csv +1 -2
results/cross_lingual/few_shot/cross_logiqa_no_prompt.csv ADDED
@@ -0,0 +1 @@
 
 
1
+ Model,Accuracy,Cross-Lingual Consistency,AC3,English,Chinese,Spanish,Vietnamese,Indonesian,Malay,Filipino
results/cross_lingual/few_shot/cross_mmlu_no_prompt.csv ADDED
@@ -0,0 +1 @@
 
 
1
+ Model,Accuracy,Cross-Lingual Consistency,AC3,English,Chinese,Spanish,Vietnamese,Indonesian,Malay,Filipino
results/cross_lingual/few_shot/cross_xquad_no_prompt.csv ADDED
@@ -0,0 +1 @@
 
 
1
+ Model,Accuracy,Cross-Lingual Consistency,AC3,English,Chinese,Spanish,Vietnamese,Indonesian,Malay,Filipino
results/cross_lingual/zero_shot/cross_logiqa.csv CHANGED
@@ -2,12 +2,10 @@ Model,Accuracy,Cross-Lingual Consistency,AC3,English,Chinese,Spanish,Vietnamese,
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- Gemma-2-9b-it-sg-ultrachat-sft,0.5844155844155844,0.5899350649350649,0.5871623537698057,0.6534090909090909,0.6136363636363636,0.5625,0.5795454545454546,0.5795454545454546,0.5738636363636364,0.5284090909090909
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  Qwen2_5_32B_Instruct,0.6931818181818182,0.6397727272727273,0.6654072695772988,0.7727272727272727,0.7897727272727273,0.6704545454545454,0.6761363636363636,0.6875,0.6875,0.5681818181818182
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  Qwen2_5_7B_Instruct,0.599025974025974,0.5034090909090908,0.5470709896292291,0.7102272727272727,0.7215909090909091,0.6136363636363636,0.6022727272727273,0.5738636363636364,0.5511363636363636,0.42045454545454547
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- MERALiON-LLaMA-3-8B-Chat,0.48701298701298695,0.46964285714285725,0.4781702261263516,0.5511363636363636,0.5227272727272727,0.4715909090909091,0.4772727272727273,0.4943181818181818,0.5056818181818182,0.38636363636363635
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  Meta-Llama-3.1-70B-Instruct,0.6566558441558442,0.598051948051948,0.6259852839118454,0.7443181818181818,0.7215909090909091,0.6647727272727273,0.6534090909090909,0.6193181818181818,0.625,0.5681818181818182
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  Qwen2_5_3B_Instruct,0.4878246753246754,0.3594155844155844,0.41388918606681485,0.6079545454545454,0.6420454545454546,0.45454545454545453,0.4602272727272727,0.48295454545454547,0.42045454545454547,0.3465909090909091
@@ -19,5 +17,6 @@ Qwen2_5_14B_Instruct,0.6436688311688312,0.5938311688311688,0.6177464473895627,0.
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  gemma2-9b-cpt-sea-lionv3-instruct,0.6055194805194805,0.6220779220779219,0.6136870270197391,0.6590909090909091,0.6590909090909091,0.5625,0.6193181818181818,0.5681818181818182,0.5852272727272727,0.5852272727272727
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  Qwen2_5_0_5B_Instruct,0.3538961038961039,0.1978896103896103,0.25383898238962527,0.45454545454545453,0.39204545454545453,0.3465909090909091,0.375,0.3409090909090909,0.30113636363636365,0.26704545454545453
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  llama3-8b-cpt-sea-lionv2.1-instruct,0.49918831168831174,0.45974025974025984,0.4786528859163277,0.5454545454545454,0.5340909090909091,0.5340909090909091,0.5340909090909091,0.5,0.45454545454545453,0.39204545454545453
 
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  Qwen2_5_7B_Instruct,0.599025974025974,0.5034090909090908,0.5470709896292291,0.7102272727272727,0.7215909090909091,0.6136363636363636,0.6022727272727273,0.5738636363636364,0.5511363636363636,0.42045454545454547
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  Qwen2_5_1_5B_Instruct,0.46834415584415584,0.348538961038961,0.3996561615557665,0.5511363636363636,0.5909090909090909,0.4659090909090909,0.5113636363636364,0.4375,0.375,0.3465909090909091
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  Qwen2-72B-Instruct,0.6728896103896104,0.6762987012987012,0.6745898487968579,0.75,0.8068181818181818,0.6534090909090909,0.6193181818181818,0.625,0.6534090909090909,0.6022727272727273
 
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  Meta-Llama-3-8B-Instruct,0.4610389610389611,0.45097402597402597,0.4559509553669637,0.5965909090909091,0.48295454545454547,0.5,0.4602272727272727,0.42045454545454547,0.4034090909090909,0.36363636363636365
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  gemma-2-2b-it,0.4780844155844156,0.4448051948051948,0.46084478401384643,0.5568181818181818,0.5,0.5,0.48863636363636365,0.4375,0.4602272727272727,0.4034090909090909
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  llama3-8b-cpt-sea-lionv2-instruct,0.48538961038961037,0.4472402597402597,0.46553468284769084,0.5284090909090909,0.5113636363636364,0.5227272727272727,0.5227272727272727,0.48863636363636365,0.44886363636363635,0.375
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results/cross_lingual/zero_shot/cross_logiqa_no_prompt.csv ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ Model,Accuracy,Cross-Lingual Consistency,AC3,English,Chinese,Spanish,Vietnamese,Indonesian,Malay,Filipino
2
+ llama3-8b-cpt-sea-lionv2.1-instruct,0.4375,0.2728896103896104,0.3361231717991198,0.4318181818181818,0.4772727272727273,0.4943181818181818,0.4034090909090909,0.4318181818181818,0.42613636363636365,0.3977272727272727
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+ gemma2-9b-cpt-sea-lionv3-instruct,0.48214285714285715,0.3753246753246754,0.4220803807589114,0.5454545454545454,0.5227272727272727,0.4943181818181818,0.4431818181818182,0.45454545454545453,0.4318181818181818,0.48295454545454547
results/cross_lingual/zero_shot/cross_mmlu.csv CHANGED
@@ -2,12 +2,10 @@ Model,Accuracy,Cross-Lingual Consistency,AC3,English,Chinese,Spanish,Vietnamese,
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- MERALiON-LLaMA-3-8B-Chat,0.5733333333333333,0.5337142857142858,0.5528148657449711,0.6666666666666666,0.6,0.5466666666666666,0.5333333333333333,0.5666666666666667,0.5933333333333334,0.5066666666666667
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@@ -19,5 +17,6 @@ Qwen2_5_14B_Instruct,0.7266666666666666,0.680952380952381,0.7030672078887086,0.7
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  llama3-8b-cpt-sea-lionv2-instruct,0.6104761904761905,0.5685714285714286,0.5887791368067445,0.72,0.6,0.6133333333333333,0.58,0.6333333333333333,0.5933333333333334,0.5333333333333333
 
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  Qwen2_5_0_5B_Instruct,0.4228571428571429,0.2436190476190476,0.3091364879297727,0.6133333333333333,0.5,0.4266666666666667,0.4066666666666667,0.3933333333333333,0.3333333333333333,0.2866666666666667
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  llama3-8b-cpt-sea-lionv2.1-instruct,0.6114285714285713,0.5478095238095239,0.5778733392299966,0.72,0.6,0.6066666666666667,0.62,0.6466666666666666,0.56,0.5266666666666666
 
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  Qwen2-72B-Instruct,0.779047619047619,0.7611428571428573,0.7699911663398871,0.8133333333333334,0.7933333333333333,0.7933333333333333,0.7333333333333333,0.7666666666666667,0.78,0.7733333333333333
 
9
  Meta-Llama-3-8B-Instruct,0.5733333333333334,0.4742857142857144,0.5191272726777197,0.7133333333333334,0.5866666666666667,0.5733333333333334,0.5866666666666667,0.5066666666666667,0.5333333333333333,0.5133333333333333
10
  Meta-Llama-3.1-70B-Instruct,0.7638095238095238,0.7716190476190474,0.7676944251955988,0.8,0.74,0.7666666666666667,0.7666666666666667,0.76,0.7666666666666667,0.7466666666666667
11
  Qwen2_5_3B_Instruct,0.5857142857142856,0.48952380952380964,0.533316462053399,0.6933333333333334,0.6666666666666666,0.64,0.5266666666666666,0.6333333333333333,0.5466666666666666,0.3933333333333333
 
17
  gemma2-9b-cpt-sea-lionv3-instruct,0.7180952380952382,0.7485714285714284,0.7330166975381478,0.78,0.7133333333333334,0.7133333333333334,0.6866666666666666,0.7266666666666667,0.7,0.7066666666666667
18
  gemma-2-2b-it,0.5780952380952381,0.5480000000000002,0.5626454667971265,0.7,0.5866666666666667,0.5866666666666667,0.5333333333333333,0.5666666666666667,0.5333333333333333,0.54
19
  llama3-8b-cpt-sea-lionv2-instruct,0.6104761904761905,0.5685714285714286,0.5887791368067445,0.72,0.6,0.6133333333333333,0.58,0.6333333333333333,0.5933333333333334,0.5333333333333333
20
+ cross_openhermes_llama3_8b_12288_inst,0.5733333333333333,0.5337142857142858,0.5528148657449711,0.6666666666666666,0.6,0.5466666666666666,0.5333333333333333,0.5666666666666667,0.5933333333333334,0.5066666666666667
21
  Qwen2_5_0_5B_Instruct,0.4228571428571429,0.2436190476190476,0.3091364879297727,0.6133333333333333,0.5,0.4266666666666667,0.4066666666666667,0.3933333333333333,0.3333333333333333,0.2866666666666667
22
  GPT4o_0513,0.8038095238095239,0.8506666666666668,0.8265745643832277,0.8266666666666667,0.7933333333333333,0.8,0.7666666666666667,0.7933333333333333,0.8266666666666667,0.82
results/cross_lingual/zero_shot/cross_mmlu_no_prompt.csv ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ Model,Accuracy,Cross-Lingual Consistency,AC3,English,Chinese,Spanish,Vietnamese,Indonesian,Malay,Filipino
2
+ llama3-8b-cpt-sea-lionv2.1-instruct,0.6638095238095237,0.5363809523809523,0.5933304614797237,0.78,0.62,0.6933333333333334,0.64,0.66,0.6466666666666666,0.6066666666666667
3
+ gemma2-9b-cpt-sea-lionv3-instruct,0.7809523809523808,0.7506666666666667,0.7655100940510849,0.8466666666666667,0.7866666666666666,0.7733333333333333,0.78,0.7933333333333333,0.7333333333333333,0.7533333333333333
results/cross_lingual/zero_shot/cross_xquad.csv CHANGED
@@ -1,11 +1,10 @@
1
  Model,Accuracy,Cross-Lingual Consistency,AC3,English,Chinese,Spanish,Vietnamese,Indonesian,Malay,Filipino
2
  Qwen2-7B-Instruct,0.9418067226890756,0.9046218487394958,0.9228398561109394,0.957983193277311,0.9336134453781513,0.9436974789915966,0.9319327731092437,,,
3
  Meta-Llama-3.1-8B-Instruct,0.9287815126050419,0.8867647058823529,0.9072869161050563,0.9420168067226891,0.9193277310924369,0.9361344537815126,0.9176470588235294,,,
4
- Gemma-2-9b-it-sg-ultrachat-sft,0.9594537815126051,0.944327731092437,0.9518306660058761,0.9663865546218487,0.9546218487394958,0.9605042016806723,0.9563025210084034,,,
5
  Qwen2_5_7B_Instruct,0.9460084033613445,0.9178571428571428,0.9317201790045005,0.9554621848739496,0.9487394957983193,0.9445378151260504,0.9352941176470588,,,
6
  Qwen2_5_1_5B_Instruct,0.8939075630252101,0.8308823529411764,0.8612434620121144,0.9100840336134454,0.9,0.8957983193277311,0.8697478991596639,,,
7
  Qwen2-72B-Instruct,0.9613445378151261,0.9516806722689075,0.956488195931227,0.9638655462184874,0.9596638655462185,0.9596638655462185,0.9621848739495799,,,
8
- MERALiON-LLaMA-3-8B-Chat,0.9273109243697479,0.8850840336134453,0.9057055579353634,0.9394957983193277,0.9252100840336135,0.9218487394957983,0.9226890756302522,,,
9
  Meta-Llama-3-8B-Instruct,0.9210084033613445,0.880672268907563,0.9003888121913395,0.9411764705882353,0.9033613445378151,0.9260504201680673,0.9134453781512605,,,
10
  Meta-Llama-3.1-70B-Instruct,0.9615546218487395,0.9512605042016806,0.9563798632627071,0.9647058823529412,0.9512605042016806,0.9647058823529412,0.965546218487395,,,
11
  Qwen2_5_3B_Instruct,0.9378151260504202,0.8924369747899159,0.9145635113049859,0.9504201680672268,0.9327731092436975,0.9378151260504202,0.9302521008403362,,,
@@ -14,7 +13,9 @@ Qwen2_5_72B_Instruct,0.9682773109243697,0.9632352941176471,0.9657497216354985,0.
14
  gemma-2-9b-it,0.9567226890756303,0.9350840336134454,0.9457796088507574,0.9663865546218487,0.9411764705882353,0.9588235294117647,0.9605042016806723,,,
15
  Meta-Llama-3-70B-Instruct,0.9592436974789916,0.9422268907563025,0.9506591499208973,0.9714285714285714,0.9403361344537815,0.9596638655462185,0.965546218487395,,,
16
  Qwen2_5_14B_Instruct,0.9581932773109244,0.9474789915966386,0.9528060148705768,0.965546218487395,0.9529411764705882,0.9571428571428572,0.9571428571428572,,,
 
17
  gemma-2-2b-it,0.917016806722689,0.8665966386554622,0.8910940700869288,0.934453781512605,0.9025210084033614,0.9193277310924369,0.9117647058823529,,,
18
  llama3-8b-cpt-sea-lionv2-instruct,0.9365546218487395,0.9086134453781513,0.9223724784871395,0.9420168067226891,0.926890756302521,0.9436974789915966,0.9336134453781513,,,
 
19
  Qwen2_5_0_5B_Instruct,0.6584033613445378,0.48172268907563026,0.5563732844778362,0.692436974789916,0.673109243697479,0.653781512605042,0.6142857142857143,,,
20
  GPT4o_0513,0.9605042016806723,0.951890756302521,0.9561780814209724,0.965546218487395,0.9537815126050421,0.9630252100840336,0.9596638655462185,,,
 
1
  Model,Accuracy,Cross-Lingual Consistency,AC3,English,Chinese,Spanish,Vietnamese,Indonesian,Malay,Filipino
2
  Qwen2-7B-Instruct,0.9418067226890756,0.9046218487394958,0.9228398561109394,0.957983193277311,0.9336134453781513,0.9436974789915966,0.9319327731092437,,,
3
  Meta-Llama-3.1-8B-Instruct,0.9287815126050419,0.8867647058823529,0.9072869161050563,0.9420168067226891,0.9193277310924369,0.9361344537815126,0.9176470588235294,,,
4
+ llama3-8b-cpt-sea-lionv2.1-instruct,0.9361344537815126,0.9067226890756303,0.9211938673738631,0.9403361344537815,0.9260504201680673,0.9420168067226891,0.9361344537815126,,,
5
  Qwen2_5_7B_Instruct,0.9460084033613445,0.9178571428571428,0.9317201790045005,0.9554621848739496,0.9487394957983193,0.9445378151260504,0.9352941176470588,,,
6
  Qwen2_5_1_5B_Instruct,0.8939075630252101,0.8308823529411764,0.8612434620121144,0.9100840336134454,0.9,0.8957983193277311,0.8697478991596639,,,
7
  Qwen2-72B-Instruct,0.9613445378151261,0.9516806722689075,0.956488195931227,0.9638655462184874,0.9596638655462185,0.9596638655462185,0.9621848739495799,,,
 
8
  Meta-Llama-3-8B-Instruct,0.9210084033613445,0.880672268907563,0.9003888121913395,0.9411764705882353,0.9033613445378151,0.9260504201680673,0.9134453781512605,,,
9
  Meta-Llama-3.1-70B-Instruct,0.9615546218487395,0.9512605042016806,0.9563798632627071,0.9647058823529412,0.9512605042016806,0.9647058823529412,0.965546218487395,,,
10
  Qwen2_5_3B_Instruct,0.9378151260504202,0.8924369747899159,0.9145635113049859,0.9504201680672268,0.9327731092436975,0.9378151260504202,0.9302521008403362,,,
 
13
  gemma-2-9b-it,0.9567226890756303,0.9350840336134454,0.9457796088507574,0.9663865546218487,0.9411764705882353,0.9588235294117647,0.9605042016806723,,,
14
  Meta-Llama-3-70B-Instruct,0.9592436974789916,0.9422268907563025,0.9506591499208973,0.9714285714285714,0.9403361344537815,0.9596638655462185,0.965546218487395,,,
15
  Qwen2_5_14B_Instruct,0.9581932773109244,0.9474789915966386,0.9528060148705768,0.965546218487395,0.9529411764705882,0.9571428571428572,0.9571428571428572,,,
16
+ gemma2-9b-cpt-sea-lionv3-instruct,0.9573529411764706,0.9365546218487395,0.9468395810403457,0.9638655462184874,0.9428571428571428,0.9605042016806723,0.9621848739495799,,,
17
  gemma-2-2b-it,0.917016806722689,0.8665966386554622,0.8910940700869288,0.934453781512605,0.9025210084033614,0.9193277310924369,0.9117647058823529,,,
18
  llama3-8b-cpt-sea-lionv2-instruct,0.9365546218487395,0.9086134453781513,0.9223724784871395,0.9420168067226891,0.926890756302521,0.9436974789915966,0.9336134453781513,,,
19
+ cross_openhermes_llama3_8b_12288_inst,0.9273109243697479,0.8850840336134453,0.9057055579353634,0.9394957983193277,0.9252100840336135,0.9218487394957983,0.9226890756302522,,,
20
  Qwen2_5_0_5B_Instruct,0.6584033613445378,0.48172268907563026,0.5563732844778362,0.692436974789916,0.673109243697479,0.653781512605042,0.6142857142857143,,,
21
  GPT4o_0513,0.9605042016806723,0.951890756302521,0.9561780814209724,0.965546218487395,0.9537815126050421,0.9630252100840336,0.9596638655462185,,,
results/cross_lingual/zero_shot/cross_xquad_no_prompt.csv ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ Model,Accuracy,Cross-Lingual Consistency,AC3,English,Chinese,Spanish,Vietnamese,Indonesian,Malay,Filipino
2
+ llama3-8b-cpt-sea-lionv2.1-instruct,0.9191176470588235,0.8352941176470587,0.87520339228777,0.9394957983193277,0.8932773109243698,0.9285714285714286,0.915126050420168,,,
3
+ gemma2-9b-cpt-sea-lionv3-instruct,0.9315126050420168,0.8716386554621849,0.9005815677746684,0.9453781512605042,0.9142857142857143,0.9369747899159664,0.9294117647058824,,,
results/cultural_reasoning/zero_shot/cn_eval.csv CHANGED
@@ -2,12 +2,10 @@ Model,Accuracy
2
  Qwen2-7B-Instruct,0.8285714285714286
3
  Meta-Llama-3.1-8B-Instruct,0.4857142857142857
4
  llama3-8b-cpt-sea-lionv2.1-instruct,0.5047619047619047
5
- Gemma-2-9b-it-sg-ultrachat-sft,0.5523809523809524
6
  Qwen2_5_32B_Instruct,0.8476190476190476
7
  Qwen2_5_7B_Instruct,0.8
8
  Qwen2_5_1_5B_Instruct,0.5523809523809524
9
  Qwen2-72B-Instruct,0.8285714285714286
10
- MERALiON-LLaMA-3-8B-Chat,0.5523809523809524
11
  Meta-Llama-3-8B-Instruct,0.4666666666666667
12
  Meta-Llama-3.1-70B-Instruct,0.5428571428571428
13
  Qwen2_5_3B_Instruct,0.7142857142857143
@@ -19,5 +17,6 @@ Qwen2_5_14B_Instruct,0.8285714285714286
19
  gemma2-9b-cpt-sea-lionv3-instruct,0.5904761904761905
20
  gemma-2-2b-it,0.3619047619047619
21
  llama3-8b-cpt-sea-lionv2-instruct,0.49523809523809526
 
22
  Qwen2_5_0_5B_Instruct,0.3619047619047619
23
  GPT4o_0513,0.8095238095238095
 
2
  Qwen2-7B-Instruct,0.8285714285714286
3
  Meta-Llama-3.1-8B-Instruct,0.4857142857142857
4
  llama3-8b-cpt-sea-lionv2.1-instruct,0.5047619047619047
 
5
  Qwen2_5_32B_Instruct,0.8476190476190476
6
  Qwen2_5_7B_Instruct,0.8
7
  Qwen2_5_1_5B_Instruct,0.5523809523809524
8
  Qwen2-72B-Instruct,0.8285714285714286
 
9
  Meta-Llama-3-8B-Instruct,0.4666666666666667
10
  Meta-Llama-3.1-70B-Instruct,0.5428571428571428
11
  Qwen2_5_3B_Instruct,0.7142857142857143
 
17
  gemma2-9b-cpt-sea-lionv3-instruct,0.5904761904761905
18
  gemma-2-2b-it,0.3619047619047619
19
  llama3-8b-cpt-sea-lionv2-instruct,0.49523809523809526
20
+ cross_openhermes_llama3_8b_12288_inst,0.5523809523809524
21
  Qwen2_5_0_5B_Instruct,0.3619047619047619
22
  GPT4o_0513,0.8095238095238095
results/cultural_reasoning/zero_shot/ph_eval.csv CHANGED
@@ -2,12 +2,10 @@ Model,Accuracy
2
  Qwen2-7B-Instruct,0.52
3
  Meta-Llama-3.1-8B-Instruct,0.6
4
  llama3-8b-cpt-sea-lionv2.1-instruct,0.56
5
- Gemma-2-9b-it-sg-ultrachat-sft,0.6
6
  Qwen2_5_32B_Instruct,0.7
7
  Qwen2_5_7B_Instruct,0.55
8
  Qwen2_5_1_5B_Instruct,0.37
9
  Qwen2-72B-Instruct,0.62
10
- MERALiON-LLaMA-3-8B-Chat,0.52
11
  Meta-Llama-3-8B-Instruct,0.58
12
  Meta-Llama-3.1-70B-Instruct,0.68
13
  Qwen2_5_3B_Instruct,0.4
@@ -19,5 +17,6 @@ Qwen2_5_14B_Instruct,0.6
19
  gemma2-9b-cpt-sea-lionv3-instruct,0.59
20
  gemma-2-2b-it,0.4
21
  llama3-8b-cpt-sea-lionv2-instruct,0.56
 
22
  Qwen2_5_0_5B_Instruct,0.27
23
  GPT4o_0513,0.77
 
2
  Qwen2-7B-Instruct,0.52
3
  Meta-Llama-3.1-8B-Instruct,0.6
4
  llama3-8b-cpt-sea-lionv2.1-instruct,0.56
 
5
  Qwen2_5_32B_Instruct,0.7
6
  Qwen2_5_7B_Instruct,0.55
7
  Qwen2_5_1_5B_Instruct,0.37
8
  Qwen2-72B-Instruct,0.62
 
9
  Meta-Llama-3-8B-Instruct,0.58
10
  Meta-Llama-3.1-70B-Instruct,0.68
11
  Qwen2_5_3B_Instruct,0.4
 
17
  gemma2-9b-cpt-sea-lionv3-instruct,0.59
18
  gemma-2-2b-it,0.4
19
  llama3-8b-cpt-sea-lionv2-instruct,0.56
20
+ cross_openhermes_llama3_8b_12288_inst,0.52
21
  Qwen2_5_0_5B_Instruct,0.27
22
  GPT4o_0513,0.77
results/cultural_reasoning/zero_shot/sg_eval.csv CHANGED
@@ -2,12 +2,10 @@ Model,Accuracy
2
  Qwen2-7B-Instruct,0.6796116504854369
3
  Meta-Llama-3.1-8B-Instruct,0.5728155339805825
4
  llama3-8b-cpt-sea-lionv2.1-instruct,0.6601941747572816
5
- Gemma-2-9b-it-sg-ultrachat-sft,0.6893203883495146
6
  Qwen2_5_32B_Instruct,0.7184466019417476
7
  Qwen2_5_7B_Instruct,0.6699029126213593
8
  Qwen2_5_1_5B_Instruct,0.5048543689320388
9
  Qwen2-72B-Instruct,0.7378640776699029
10
- MERALiON-LLaMA-3-8B-Chat,0.6310679611650486
11
  Meta-Llama-3-8B-Instruct,0.6504854368932039
12
  Meta-Llama-3.1-70B-Instruct,0.7184466019417476
13
  Qwen2_5_3B_Instruct,0.6310679611650486
@@ -19,5 +17,6 @@ Qwen2_5_14B_Instruct,0.7669902912621359
19
  gemma2-9b-cpt-sea-lionv3-instruct,0.6796116504854369
20
  gemma-2-2b-it,0.5533980582524272
21
  llama3-8b-cpt-sea-lionv2-instruct,0.6504854368932039
 
22
  Qwen2_5_0_5B_Instruct,0.4077669902912621
23
  GPT4o_0513,0.8446601941747572
 
2
  Qwen2-7B-Instruct,0.6796116504854369
3
  Meta-Llama-3.1-8B-Instruct,0.5728155339805825
4
  llama3-8b-cpt-sea-lionv2.1-instruct,0.6601941747572816
 
5
  Qwen2_5_32B_Instruct,0.7184466019417476
6
  Qwen2_5_7B_Instruct,0.6699029126213593
7
  Qwen2_5_1_5B_Instruct,0.5048543689320388
8
  Qwen2-72B-Instruct,0.7378640776699029
 
9
  Meta-Llama-3-8B-Instruct,0.6504854368932039
10
  Meta-Llama-3.1-70B-Instruct,0.7184466019417476
11
  Qwen2_5_3B_Instruct,0.6310679611650486
 
17
  gemma2-9b-cpt-sea-lionv3-instruct,0.6796116504854369
18
  gemma-2-2b-it,0.5533980582524272
19
  llama3-8b-cpt-sea-lionv2-instruct,0.6504854368932039
20
+ cross_openhermes_llama3_8b_12288_inst,0.6310679611650486
21
  Qwen2_5_0_5B_Instruct,0.4077669902912621
22
  GPT4o_0513,0.8446601941747572
results/cultural_reasoning/zero_shot/sg_eval_v1_cleaned.csv CHANGED
@@ -2,12 +2,10 @@ Model,Accuracy
2
  Qwen2-7B-Instruct,0.6323529411764706
3
  Meta-Llama-3.1-8B-Instruct,0.5294117647058824
4
  llama3-8b-cpt-sea-lionv2.1-instruct,0.6617647058823529
5
- Gemma-2-9b-it-sg-ultrachat-sft,0.6176470588235294
6
  Qwen2_5_32B_Instruct,0.6470588235294118
7
  Qwen2_5_7B_Instruct,0.5882352941176471
8
  Qwen2_5_1_5B_Instruct,0.47058823529411764
9
  Qwen2-72B-Instruct,0.6764705882352942
10
- MERALiON-LLaMA-3-8B-Chat,0.6029411764705882
11
  Meta-Llama-3-8B-Instruct,0.5882352941176471
12
  Meta-Llama-3.1-70B-Instruct,0.6617647058823529
13
  Qwen2_5_3B_Instruct,0.5882352941176471
@@ -19,5 +17,6 @@ Qwen2_5_14B_Instruct,0.6911764705882353
19
  gemma2-9b-cpt-sea-lionv3-instruct,0.6029411764705882
20
  gemma-2-2b-it,0.5147058823529411
21
  llama3-8b-cpt-sea-lionv2-instruct,0.6617647058823529
 
22
  Qwen2_5_0_5B_Instruct,0.36764705882352944
23
  GPT4o_0513,0.8088235294117647
 
2
  Qwen2-7B-Instruct,0.6323529411764706
3
  Meta-Llama-3.1-8B-Instruct,0.5294117647058824
4
  llama3-8b-cpt-sea-lionv2.1-instruct,0.6617647058823529
 
5
  Qwen2_5_32B_Instruct,0.6470588235294118
6
  Qwen2_5_7B_Instruct,0.5882352941176471
7
  Qwen2_5_1_5B_Instruct,0.47058823529411764
8
  Qwen2-72B-Instruct,0.6764705882352942
 
9
  Meta-Llama-3-8B-Instruct,0.5882352941176471
10
  Meta-Llama-3.1-70B-Instruct,0.6617647058823529
11
  Qwen2_5_3B_Instruct,0.5882352941176471
 
17
  gemma2-9b-cpt-sea-lionv3-instruct,0.6029411764705882
18
  gemma-2-2b-it,0.5147058823529411
19
  llama3-8b-cpt-sea-lionv2-instruct,0.6617647058823529
20
+ cross_openhermes_llama3_8b_12288_inst,0.6029411764705882
21
  Qwen2_5_0_5B_Instruct,0.36764705882352944
22
  GPT4o_0513,0.8088235294117647
results/cultural_reasoning/zero_shot/sg_eval_v2_mcq.csv CHANGED
@@ -2,12 +2,10 @@ Model,Accuracy
2
  Qwen2-7B-Instruct,0.7872727272727272
3
  Meta-Llama-3.1-8B-Instruct,0.7854545454545454
4
  llama3-8b-cpt-sea-lionv2.1-instruct,0.7836363636363637
5
- Gemma-2-9b-it-sg-ultrachat-sft,0.8327272727272728
6
  Qwen2_5_32B_Instruct,0.8436363636363636
7
  Qwen2_5_7B_Instruct,0.78
8
  Qwen2_5_1_5B_Instruct,0.6636363636363637
9
  Qwen2-72B-Instruct,0.8581818181818182
10
- MERALiON-LLaMA-3-8B-Chat,0.7890909090909091
11
  Meta-Llama-3-8B-Instruct,0.7909090909090909
12
  Meta-Llama-3.1-70B-Instruct,0.8763636363636363
13
  Qwen2_5_3B_Instruct,0.72
@@ -19,5 +17,6 @@ Qwen2_5_14B_Instruct,0.8345454545454546
19
  gemma2-9b-cpt-sea-lionv3-instruct,0.8090909090909091
20
  gemma-2-2b-it,0.7163636363636363
21
  llama3-8b-cpt-sea-lionv2-instruct,0.7763636363636364
 
22
  Qwen2_5_0_5B_Instruct,0.5727272727272728
23
  GPT4o_0513,0.8709090909090909
 
2
  Qwen2-7B-Instruct,0.7872727272727272
3
  Meta-Llama-3.1-8B-Instruct,0.7854545454545454
4
  llama3-8b-cpt-sea-lionv2.1-instruct,0.7836363636363637
 
5
  Qwen2_5_32B_Instruct,0.8436363636363636
6
  Qwen2_5_7B_Instruct,0.78
7
  Qwen2_5_1_5B_Instruct,0.6636363636363637
8
  Qwen2-72B-Instruct,0.8581818181818182
 
9
  Meta-Llama-3-8B-Instruct,0.7909090909090909
10
  Meta-Llama-3.1-70B-Instruct,0.8763636363636363
11
  Qwen2_5_3B_Instruct,0.72
 
17
  gemma2-9b-cpt-sea-lionv3-instruct,0.8090909090909091
18
  gemma-2-2b-it,0.7163636363636363
19
  llama3-8b-cpt-sea-lionv2-instruct,0.7763636363636364
20
+ cross_openhermes_llama3_8b_12288_inst,0.7890909090909091
21
  Qwen2_5_0_5B_Instruct,0.5727272727272728
22
  GPT4o_0513,0.8709090909090909
results/cultural_reasoning/zero_shot/sg_eval_v2_open.csv CHANGED
@@ -2,12 +2,10 @@ Model,Accuracy
2
  Qwen2-7B-Instruct,56.559999999999995
3
  Meta-Llama-3.1-8B-Instruct,49.2
4
  llama3-8b-cpt-sea-lionv2.1-instruct,50.03999999999999
5
- Gemma-2-9b-it-sg-ultrachat-sft,49.2
6
  Qwen2_5_32B_Instruct,53.2
7
  Qwen2_5_7B_Instruct,50.279999999999994
8
  Qwen2_5_1_5B_Instruct,44.480000000000004
9
  Qwen2-72B-Instruct,54.080000000000005
10
- MERALiON-LLaMA-3-8B-Chat,52.480000000000004
11
  Meta-Llama-3-8B-Instruct,51.120000000000005
12
  Meta-Llama-3.1-70B-Instruct,51.31999999999999
13
  Qwen2_5_3B_Instruct,47.24
@@ -19,5 +17,6 @@ Qwen2_5_14B_Instruct,53.2
19
  gemma2-9b-cpt-sea-lionv3-instruct,55.0
20
  gemma-2-2b-it,52.08
21
  llama3-8b-cpt-sea-lionv2-instruct,50.03999999999999
 
22
  Qwen2_5_0_5B_Instruct,35.28
23
  GPT4o_0513,57.28
 
2
  Qwen2-7B-Instruct,56.559999999999995
3
  Meta-Llama-3.1-8B-Instruct,49.2
4
  llama3-8b-cpt-sea-lionv2.1-instruct,50.03999999999999
 
5
  Qwen2_5_32B_Instruct,53.2
6
  Qwen2_5_7B_Instruct,50.279999999999994
7
  Qwen2_5_1_5B_Instruct,44.480000000000004
8
  Qwen2-72B-Instruct,54.080000000000005
 
9
  Meta-Llama-3-8B-Instruct,51.120000000000005
10
  Meta-Llama-3.1-70B-Instruct,51.31999999999999
11
  Qwen2_5_3B_Instruct,47.24
 
17
  gemma2-9b-cpt-sea-lionv3-instruct,55.0
18
  gemma-2-2b-it,52.08
19
  llama3-8b-cpt-sea-lionv2-instruct,50.03999999999999
20
+ cross_openhermes_llama3_8b_12288_inst,52.480000000000004
21
  Qwen2_5_0_5B_Instruct,35.28
22
  GPT4o_0513,57.28
results/cultural_reasoning/zero_shot/us_eval.csv CHANGED
@@ -2,12 +2,10 @@ Model,Accuracy
2
  Qwen2-7B-Instruct,0.7289719626168224
3
  Meta-Llama-3.1-8B-Instruct,0.7289719626168224
4
  llama3-8b-cpt-sea-lionv2.1-instruct,0.7102803738317757
5
- Gemma-2-9b-it-sg-ultrachat-sft,0.794392523364486
6
  Qwen2_5_32B_Instruct,0.8411214953271028
7
  Qwen2_5_7B_Instruct,0.7663551401869159
8
  Qwen2_5_1_5B_Instruct,0.5981308411214953
9
  Qwen2-72B-Instruct,0.8785046728971962
10
- MERALiON-LLaMA-3-8B-Chat,0.7663551401869159
11
  Meta-Llama-3-8B-Instruct,0.7009345794392523
12
  Meta-Llama-3.1-70B-Instruct,0.8411214953271028
13
  Qwen2_5_3B_Instruct,0.6728971962616822
@@ -19,5 +17,6 @@ Qwen2_5_14B_Instruct,0.822429906542056
19
  gemma2-9b-cpt-sea-lionv3-instruct,0.8037383177570093
20
  gemma-2-2b-it,0.6915887850467289
21
  llama3-8b-cpt-sea-lionv2-instruct,0.7009345794392523
 
22
  Qwen2_5_0_5B_Instruct,0.37383177570093457
23
  GPT4o_0513,0.8691588785046729
 
2
  Qwen2-7B-Instruct,0.7289719626168224
3
  Meta-Llama-3.1-8B-Instruct,0.7289719626168224
4
  llama3-8b-cpt-sea-lionv2.1-instruct,0.7102803738317757
 
5
  Qwen2_5_32B_Instruct,0.8411214953271028
6
  Qwen2_5_7B_Instruct,0.7663551401869159
7
  Qwen2_5_1_5B_Instruct,0.5981308411214953
8
  Qwen2-72B-Instruct,0.8785046728971962
 
9
  Meta-Llama-3-8B-Instruct,0.7009345794392523
10
  Meta-Llama-3.1-70B-Instruct,0.8411214953271028
11
  Qwen2_5_3B_Instruct,0.6728971962616822
 
17
  gemma2-9b-cpt-sea-lionv3-instruct,0.8037383177570093
18
  gemma-2-2b-it,0.6915887850467289
19
  llama3-8b-cpt-sea-lionv2-instruct,0.7009345794392523
20
+ cross_openhermes_llama3_8b_12288_inst,0.7663551401869159
21
  Qwen2_5_0_5B_Instruct,0.37383177570093457
22
  GPT4o_0513,0.8691588785046729
results/dialogue/zero_shot/dialogsum.csv CHANGED
@@ -2,12 +2,10 @@ Model,Average,ROUGE-1,ROUGE-2,ROUGE-L
2
  Qwen2-7B-Instruct,0.2092663759873139,0.30486100228371826,0.09413830506038247,0.22879982061784096
3
  Meta-Llama-3.1-8B-Instruct,0.24990743661648132,0.3515557454075673,0.12563120411564133,0.2725353603262354
4
  llama3-8b-cpt-sea-lionv2.1-instruct,0.2538187048721643,0.3556160487203703,0.12835761178300684,0.27748245411311584
5
- Gemma-2-9b-it-sg-ultrachat-sft,0.2604699718482717,0.3565321533422258,0.1435636503831484,0.2813141118194409
6
  Qwen2_5_32B_Instruct,0.2393912015484827,0.3451081398022419,0.11160543395371676,0.26146003088948944
7
  Qwen2_5_7B_Instruct,0.2502928721533066,0.35566069744050016,0.12210269253668227,0.27311522648273734
8
  Qwen2_5_1_5B_Instruct,0.20263242988485167,0.30002072253966694,0.08416670238558713,0.22370986472930096
9
  Qwen2-72B-Instruct,0.2183280630214023,0.316174552903144,0.10156543495268992,0.23724420120837297
10
- MERALiON-LLaMA-3-8B-Chat,0.27081377092899106,0.3746700335717668,0.1422316280821482,0.2955396511330582
11
  Meta-Llama-3-8B-Instruct,0.23978455271183616,0.33971099717559883,0.1203340311564728,0.2593086298034369
12
  Meta-Llama-3.1-70B-Instruct,0.2526239717396146,0.35714386898604744,0.1258832921736473,0.27484475405914904
13
  Qwen2_5_3B_Instruct,0.22107390172674926,0.32206286484028823,0.10065030710901035,0.24050853323094928
@@ -19,5 +17,6 @@ Qwen2_5_14B_Instruct,0.2343478938479703,0.3386251381162625,0.10742381514017992,0
19
  gemma2-9b-cpt-sea-lionv3-instruct,0.23790909190042164,0.34294544984076464,0.1078722585042388,0.26290956735626153
20
  gemma-2-2b-it,0.2597323674875989,0.36848124762381895,0.12622684440269072,0.2844890104362872
21
  llama3-8b-cpt-sea-lionv2-instruct,0.25777587511641403,0.35911990072292727,0.13269121463917308,0.2815165099871418
 
22
  Qwen2_5_0_5B_Instruct,0.19408176276624156,0.28989753303423227,0.07842728643649079,0.21392046882800164
23
  GPT4o_0513,0.2375730297294346,0.3364674648846549,0.11718194476069822,0.25906967954295057
 
2
  Qwen2-7B-Instruct,0.2092663759873139,0.30486100228371826,0.09413830506038247,0.22879982061784096
3
  Meta-Llama-3.1-8B-Instruct,0.24990743661648132,0.3515557454075673,0.12563120411564133,0.2725353603262354
4
  llama3-8b-cpt-sea-lionv2.1-instruct,0.2538187048721643,0.3556160487203703,0.12835761178300684,0.27748245411311584
 
5
  Qwen2_5_32B_Instruct,0.2393912015484827,0.3451081398022419,0.11160543395371676,0.26146003088948944
6
  Qwen2_5_7B_Instruct,0.2502928721533066,0.35566069744050016,0.12210269253668227,0.27311522648273734
7
  Qwen2_5_1_5B_Instruct,0.20263242988485167,0.30002072253966694,0.08416670238558713,0.22370986472930096
8
  Qwen2-72B-Instruct,0.2183280630214023,0.316174552903144,0.10156543495268992,0.23724420120837297
 
9
  Meta-Llama-3-8B-Instruct,0.23978455271183616,0.33971099717559883,0.1203340311564728,0.2593086298034369
10
  Meta-Llama-3.1-70B-Instruct,0.2526239717396146,0.35714386898604744,0.1258832921736473,0.27484475405914904
11
  Qwen2_5_3B_Instruct,0.22107390172674926,0.32206286484028823,0.10065030710901035,0.24050853323094928
 
17
  gemma2-9b-cpt-sea-lionv3-instruct,0.23790909190042164,0.34294544984076464,0.1078722585042388,0.26290956735626153
18
  gemma-2-2b-it,0.2597323674875989,0.36848124762381895,0.12622684440269072,0.2844890104362872
19
  llama3-8b-cpt-sea-lionv2-instruct,0.25777587511641403,0.35911990072292727,0.13269121463917308,0.2815165099871418
20
+ cross_openhermes_llama3_8b_12288_inst,0.27081377092899106,0.3746700335717668,0.1422316280821482,0.2955396511330582
21
  Qwen2_5_0_5B_Instruct,0.19408176276624156,0.28989753303423227,0.07842728643649079,0.21392046882800164
22
  GPT4o_0513,0.2375730297294346,0.3364674648846549,0.11718194476069822,0.25906967954295057
results/dialogue/zero_shot/dream.csv CHANGED
@@ -2,12 +2,10 @@ Model,Accuracy
2
  Qwen2-7B-Instruct,0.9353258206761391
3
  Meta-Llama-3.1-8B-Instruct,0.9039686428221461
4
  llama3-8b-cpt-sea-lionv2.1-instruct,0.8838804507594317
5
- Gemma-2-9b-it-sg-ultrachat-sft,0.9338559529642332
6
  Qwen2_5_32B_Instruct,0.9559039686428221
7
  Qwen2_5_7B_Instruct,0.9348358647721705
8
  Qwen2_5_1_5B_Instruct,0.8314551690347869
9
  Qwen2-72B-Instruct,0.9612934835864773
10
- MERALiON-LLaMA-3-8B-Chat,0.8829005389514943
11
  Meta-Llama-3-8B-Instruct,0.8946594806467418
12
  Meta-Llama-3.1-70B-Instruct,0.9559039686428221
13
  Qwen2_5_3B_Instruct,0.9029887310142087
@@ -19,5 +17,6 @@ Qwen2_5_14B_Instruct,0.9461048505634493
19
  gemma2-9b-cpt-sea-lionv3-instruct,0.9407153356197943
20
  gemma-2-2b-it,0.8510534051935326
21
  llama3-8b-cpt-sea-lionv2-instruct,0.8858402743753062
 
22
  Qwen2_5_0_5B_Instruct,0.6526212640862322
23
  GPT4o_0513,0.9583537481626654
 
2
  Qwen2-7B-Instruct,0.9353258206761391
3
  Meta-Llama-3.1-8B-Instruct,0.9039686428221461
4
  llama3-8b-cpt-sea-lionv2.1-instruct,0.8838804507594317
 
5
  Qwen2_5_32B_Instruct,0.9559039686428221
6
  Qwen2_5_7B_Instruct,0.9348358647721705
7
  Qwen2_5_1_5B_Instruct,0.8314551690347869
8
  Qwen2-72B-Instruct,0.9612934835864773
 
9
  Meta-Llama-3-8B-Instruct,0.8946594806467418
10
  Meta-Llama-3.1-70B-Instruct,0.9559039686428221
11
  Qwen2_5_3B_Instruct,0.9029887310142087
 
17
  gemma2-9b-cpt-sea-lionv3-instruct,0.9407153356197943
18
  gemma-2-2b-it,0.8510534051935326
19
  llama3-8b-cpt-sea-lionv2-instruct,0.8858402743753062
20
+ cross_openhermes_llama3_8b_12288_inst,0.8829005389514943
21
  Qwen2_5_0_5B_Instruct,0.6526212640862322
22
  GPT4o_0513,0.9583537481626654
results/dialogue/zero_shot/samsum.csv CHANGED
@@ -2,12 +2,10 @@ Model,Average,ROUGE-1,ROUGE-2,ROUGE-L
2
  Qwen2-7B-Instruct,0.25668781132950264,0.36375948458827556,0.12939804942125302,0.27690589997897935
3
  Meta-Llama-3.1-8B-Instruct,0.2891505262763006,0.4001228010515775,0.15677431231732958,0.31055446545999466
4
  llama3-8b-cpt-sea-lionv2.1-instruct,0.3049906423685726,0.42002411403511675,0.16877419641049218,0.32617361666010874
5
- Gemma-2-9b-it-sg-ultrachat-sft,0.31654854892297785,0.42724204522960013,0.18677459831281892,0.3356290032265146
6
  Qwen2_5_32B_Instruct,0.2844232627209405,0.3986263552639068,0.14766658533002341,0.3069768475688912
7
  Qwen2_5_7B_Instruct,0.2987576845890178,0.4163299367235864,0.1599063413842216,0.32003677565924527
8
  Qwen2_5_1_5B_Instruct,0.2333120091694482,0.34339111721032756,0.10195887716459845,0.25458603313341865
9
  Qwen2-72B-Instruct,0.2800906719573321,0.3887231369098802,0.15237661526996754,0.29917226369214855
10
- MERALiON-LLaMA-3-8B-Chat,0.30043920936284546,0.41309659421156786,0.16636483587009585,0.3218561980068726
11
  Meta-Llama-3-8B-Instruct,0.2846315092346869,0.39397110152251813,0.154320846916639,0.30560257926490364
12
  Meta-Llama-3.1-70B-Instruct,0.28934874612070227,0.4036295731242805,0.15211190810296196,0.31230475713486433
13
  Qwen2_5_3B_Instruct,0.26935624341081515,0.380865832002109,0.13872106416227833,0.28848183406805816
@@ -19,5 +17,6 @@ Qwen2_5_14B_Instruct,0.2713801253928723,0.3836253496005304,0.13683087953788298,0
19
  gemma2-9b-cpt-sea-lionv3-instruct,0.29509358497900623,0.4129497614150914,0.1502573048316353,0.32207368869029196
20
  gemma-2-2b-it,0.31118787136959813,0.4324251755711466,0.16441328335793207,0.33672515517971563
21
  llama3-8b-cpt-sea-lionv2-instruct,0.306997595680581,0.4214048099551701,0.1709790451938523,0.3286089318927205
 
22
  Qwen2_5_0_5B_Instruct,0.20766179544894214,0.3105872033328297,0.08726222085933319,0.22513596215466355
23
  GPT4o_0513,0.27736679291505306,0.386750207633093,0.14889081847621596,0.2964593526358502
 
2
  Qwen2-7B-Instruct,0.25668781132950264,0.36375948458827556,0.12939804942125302,0.27690589997897935
3
  Meta-Llama-3.1-8B-Instruct,0.2891505262763006,0.4001228010515775,0.15677431231732958,0.31055446545999466
4
  llama3-8b-cpt-sea-lionv2.1-instruct,0.3049906423685726,0.42002411403511675,0.16877419641049218,0.32617361666010874
 
5
  Qwen2_5_32B_Instruct,0.2844232627209405,0.3986263552639068,0.14766658533002341,0.3069768475688912
6
  Qwen2_5_7B_Instruct,0.2987576845890178,0.4163299367235864,0.1599063413842216,0.32003677565924527
7
  Qwen2_5_1_5B_Instruct,0.2333120091694482,0.34339111721032756,0.10195887716459845,0.25458603313341865
8
  Qwen2-72B-Instruct,0.2800906719573321,0.3887231369098802,0.15237661526996754,0.29917226369214855
 
9
  Meta-Llama-3-8B-Instruct,0.2846315092346869,0.39397110152251813,0.154320846916639,0.30560257926490364
10
  Meta-Llama-3.1-70B-Instruct,0.28934874612070227,0.4036295731242805,0.15211190810296196,0.31230475713486433
11
  Qwen2_5_3B_Instruct,0.26935624341081515,0.380865832002109,0.13872106416227833,0.28848183406805816
 
17
  gemma2-9b-cpt-sea-lionv3-instruct,0.29509358497900623,0.4129497614150914,0.1502573048316353,0.32207368869029196
18
  gemma-2-2b-it,0.31118787136959813,0.4324251755711466,0.16441328335793207,0.33672515517971563
19
  llama3-8b-cpt-sea-lionv2-instruct,0.306997595680581,0.4214048099551701,0.1709790451938523,0.3286089318927205
20
+ cross_openhermes_llama3_8b_12288_inst,0.30043920936284546,0.41309659421156786,0.16636483587009585,0.3218561980068726
21
  Qwen2_5_0_5B_Instruct,0.20766179544894214,0.3105872033328297,0.08726222085933319,0.22513596215466355
22
  GPT4o_0513,0.27736679291505306,0.386750207633093,0.14889081847621596,0.2964593526358502
results/emotion/zero_shot/ind_emotion.csv CHANGED
@@ -2,12 +2,10 @@ Model,Accuracy
2
  Qwen2-7B-Instruct,0.6545454545454545
3
  Meta-Llama-3.1-8B-Instruct,0.6545454545454545
4
  llama3-8b-cpt-sea-lionv2.1-instruct,0.6681818181818182
5
- Gemma-2-9b-it-sg-ultrachat-sft,0.759090909090909
6
  Qwen2_5_32B_Instruct,0.6909090909090909
7
  Qwen2_5_7B_Instruct,0.6636363636363637
8
  Qwen2_5_1_5B_Instruct,0.5795454545454546
9
  Qwen2-72B-Instruct,0.675
10
- MERALiON-LLaMA-3-8B-Chat,0.7045454545454546
11
  Meta-Llama-3-8B-Instruct,0.6522727272727272
12
  Meta-Llama-3.1-70B-Instruct,0.7159090909090909
13
  Qwen2_5_3B_Instruct,0.5522727272727272
@@ -19,5 +17,6 @@ Qwen2_5_14B_Instruct,0.6954545454545454
19
  gemma2-9b-cpt-sea-lionv3-instruct,0.7340909090909091
20
  gemma-2-2b-it,0.6636363636363637
21
  llama3-8b-cpt-sea-lionv2-instruct,0.6613636363636364
 
22
  Qwen2_5_0_5B_Instruct,0.37727272727272726
23
  GPT4o_0513,0.7068181818181818
 
2
  Qwen2-7B-Instruct,0.6545454545454545
3
  Meta-Llama-3.1-8B-Instruct,0.6545454545454545
4
  llama3-8b-cpt-sea-lionv2.1-instruct,0.6681818181818182
 
5
  Qwen2_5_32B_Instruct,0.6909090909090909
6
  Qwen2_5_7B_Instruct,0.6636363636363637
7
  Qwen2_5_1_5B_Instruct,0.5795454545454546
8
  Qwen2-72B-Instruct,0.675
 
9
  Meta-Llama-3-8B-Instruct,0.6522727272727272
10
  Meta-Llama-3.1-70B-Instruct,0.7159090909090909
11
  Qwen2_5_3B_Instruct,0.5522727272727272
 
17
  gemma2-9b-cpt-sea-lionv3-instruct,0.7340909090909091
18
  gemma-2-2b-it,0.6636363636363637
19
  llama3-8b-cpt-sea-lionv2-instruct,0.6613636363636364
20
+ cross_openhermes_llama3_8b_12288_inst,0.7045454545454546
21
  Qwen2_5_0_5B_Instruct,0.37727272727272726
22
  GPT4o_0513,0.7068181818181818
results/emotion/zero_shot/sst2.csv CHANGED
@@ -2,12 +2,10 @@ Model,Accuracy
2
  Qwen2-7B-Instruct,0.9346330275229358
3
  Meta-Llama-3.1-8B-Instruct,0.8646788990825688
4
  llama3-8b-cpt-sea-lionv2.1-instruct,0.9174311926605505
5
- Gemma-2-9b-it-sg-ultrachat-sft,0.9403669724770642
6
  Qwen2_5_32B_Instruct,0.9472477064220184
7
  Qwen2_5_7B_Instruct,0.9254587155963303
8
  Qwen2_5_1_5B_Instruct,0.9231651376146789
9
  Qwen2-72B-Instruct,0.9346330275229358
10
- MERALiON-LLaMA-3-8B-Chat,0.9288990825688074
11
  Meta-Llama-3-8B-Instruct,0.8784403669724771
12
  Meta-Llama-3.1-70B-Instruct,0.9529816513761468
13
  Qwen2_5_3B_Instruct,0.8245412844036697
@@ -19,5 +17,6 @@ Qwen2_5_14B_Instruct,0.9311926605504587
19
  gemma2-9b-cpt-sea-lionv3-instruct,0.9311926605504587
20
  gemma-2-2b-it,0.9243119266055045
21
  llama3-8b-cpt-sea-lionv2-instruct,0.9128440366972477
 
22
  Qwen2_5_0_5B_Instruct,0.7889908256880734
23
  GPT4o_0513,0.9415137614678899
 
2
  Qwen2-7B-Instruct,0.9346330275229358
3
  Meta-Llama-3.1-8B-Instruct,0.8646788990825688
4
  llama3-8b-cpt-sea-lionv2.1-instruct,0.9174311926605505
 
5
  Qwen2_5_32B_Instruct,0.9472477064220184
6
  Qwen2_5_7B_Instruct,0.9254587155963303
7
  Qwen2_5_1_5B_Instruct,0.9231651376146789
8
  Qwen2-72B-Instruct,0.9346330275229358
 
9
  Meta-Llama-3-8B-Instruct,0.8784403669724771
10
  Meta-Llama-3.1-70B-Instruct,0.9529816513761468
11
  Qwen2_5_3B_Instruct,0.8245412844036697
 
17
  gemma2-9b-cpt-sea-lionv3-instruct,0.9311926605504587
18
  gemma-2-2b-it,0.9243119266055045
19
  llama3-8b-cpt-sea-lionv2-instruct,0.9128440366972477
20
+ cross_openhermes_llama3_8b_12288_inst,0.9288990825688074
21
  Qwen2_5_0_5B_Instruct,0.7889908256880734
22
  GPT4o_0513,0.9415137614678899
results/flores_translation/zero_shot/ind2eng.csv CHANGED
@@ -2,12 +2,10 @@ Model,BLEU
2
  Qwen2-7B-Instruct,0.29408553325533265
3
  Meta-Llama-3.1-8B-Instruct,0.3765752579792989
4
  llama3-8b-cpt-sea-lionv2.1-instruct,0.38890283520513874
5
- Gemma-2-9b-it-sg-ultrachat-sft,0.4036192393932773
6
  Qwen2_5_32B_Instruct,0.3923422946746861
7
  Qwen2_5_7B_Instruct,0.36472669481333536
8
  Qwen2_5_1_5B_Instruct,0.2624938515155373
9
  Qwen2-72B-Instruct,0.4043588265556185
10
- MERALiON-LLaMA-3-8B-Chat,0.3900675406718024
11
  Meta-Llama-3-8B-Instruct,0.33079891679041123
12
  Meta-Llama-3.1-70B-Instruct,0.43366494500251235
13
  Qwen2_5_3B_Instruct,0.3316936422167389
@@ -19,5 +17,6 @@ Qwen2_5_14B_Instruct,0.3901044620348051
19
  gemma2-9b-cpt-sea-lionv3-instruct,0.3922444585880475
20
  gemma-2-2b-it,0.3482500758113138
21
  llama3-8b-cpt-sea-lionv2-instruct,0.3916108972514423
 
22
  Qwen2_5_0_5B_Instruct,0.15776662800152338
23
  GPT4o_0513,0.42589589086974855
 
2
  Qwen2-7B-Instruct,0.29408553325533265
3
  Meta-Llama-3.1-8B-Instruct,0.3765752579792989
4
  llama3-8b-cpt-sea-lionv2.1-instruct,0.38890283520513874
 
5
  Qwen2_5_32B_Instruct,0.3923422946746861
6
  Qwen2_5_7B_Instruct,0.36472669481333536
7
  Qwen2_5_1_5B_Instruct,0.2624938515155373
8
  Qwen2-72B-Instruct,0.4043588265556185
 
9
  Meta-Llama-3-8B-Instruct,0.33079891679041123
10
  Meta-Llama-3.1-70B-Instruct,0.43366494500251235
11
  Qwen2_5_3B_Instruct,0.3316936422167389
 
17
  gemma2-9b-cpt-sea-lionv3-instruct,0.3922444585880475
18
  gemma-2-2b-it,0.3482500758113138
19
  llama3-8b-cpt-sea-lionv2-instruct,0.3916108972514423
20
+ cross_openhermes_llama3_8b_12288_inst,0.3900675406718024
21
  Qwen2_5_0_5B_Instruct,0.15776662800152338
22
  GPT4o_0513,0.42589589086974855
results/flores_translation/zero_shot/vie2eng.csv CHANGED
@@ -2,12 +2,10 @@ Model,BLEU
2
  Qwen2-7B-Instruct,0.24106736560355876
3
  Meta-Llama-3.1-8B-Instruct,0.31019605539004524
4
  llama3-8b-cpt-sea-lionv2.1-instruct,0.32831099820283755
5
- Gemma-2-9b-it-sg-ultrachat-sft,0.33299539463896577
6
  Qwen2_5_32B_Instruct,0.33791529833420336
7
  Qwen2_5_7B_Instruct,0.3027564749728372
8
  Qwen2_5_1_5B_Instruct,0.21935649300365245
9
  Qwen2-72B-Instruct,0.33005323227052946
10
- MERALiON-LLaMA-3-8B-Chat,0.29952664743728336
11
  Meta-Llama-3-8B-Instruct,0.2647448190950291
12
  Meta-Llama-3.1-70B-Instruct,0.37244508311079816
13
  Qwen2_5_3B_Instruct,0.27312609009801636
@@ -19,5 +17,6 @@ Qwen2_5_14B_Instruct,0.32198218156960645
19
  gemma2-9b-cpt-sea-lionv3-instruct,0.3176282835521885
20
  gemma-2-2b-it,0.27518909199172303
21
  llama3-8b-cpt-sea-lionv2-instruct,0.327781936019637
 
22
  Qwen2_5_0_5B_Instruct,0.14677375445859656
23
  GPT4o_0513,0.36219303373759176
 
2
  Qwen2-7B-Instruct,0.24106736560355876
3
  Meta-Llama-3.1-8B-Instruct,0.31019605539004524
4
  llama3-8b-cpt-sea-lionv2.1-instruct,0.32831099820283755
 
5
  Qwen2_5_32B_Instruct,0.33791529833420336
6
  Qwen2_5_7B_Instruct,0.3027564749728372
7
  Qwen2_5_1_5B_Instruct,0.21935649300365245
8
  Qwen2-72B-Instruct,0.33005323227052946
 
9
  Meta-Llama-3-8B-Instruct,0.2647448190950291
10
  Meta-Llama-3.1-70B-Instruct,0.37244508311079816
11
  Qwen2_5_3B_Instruct,0.27312609009801636
 
17
  gemma2-9b-cpt-sea-lionv3-instruct,0.3176282835521885
18
  gemma-2-2b-it,0.27518909199172303
19
  llama3-8b-cpt-sea-lionv2-instruct,0.327781936019637
20
+ cross_openhermes_llama3_8b_12288_inst,0.29952664743728336
21
  Qwen2_5_0_5B_Instruct,0.14677375445859656
22
  GPT4o_0513,0.36219303373759176
results/flores_translation/zero_shot/zho2eng.csv CHANGED
@@ -2,12 +2,10 @@ Model,BLEU
2
  Qwen2-7B-Instruct,0.2113761361724575
3
  Meta-Llama-3.1-8B-Instruct,0.23889886925287113
4
  llama3-8b-cpt-sea-lionv2.1-instruct,0.2378480031503388
5
- Gemma-2-9b-it-sg-ultrachat-sft,0.26203143663551526
6
  Qwen2_5_32B_Instruct,0.26924811164378015
7
  Qwen2_5_7B_Instruct,0.2437311220019033
8
  Qwen2_5_1_5B_Instruct,0.18420680441018222
9
  Qwen2-72B-Instruct,0.23893268538329387
10
- MERALiON-LLaMA-3-8B-Chat,0.2437964546132799
11
  Meta-Llama-3-8B-Instruct,0.199495011482748
12
  Meta-Llama-3.1-70B-Instruct,0.2832594176173152
13
  Qwen2_5_3B_Instruct,0.2245195134637718
@@ -19,5 +17,6 @@ Qwen2_5_14B_Instruct,0.2627781200417998
19
  gemma2-9b-cpt-sea-lionv3-instruct,0.25110750921976727
20
  gemma-2-2b-it,0.21164036008441425
21
  llama3-8b-cpt-sea-lionv2-instruct,0.2381535278220489
 
22
  Qwen2_5_0_5B_Instruct,0.13846648470535672
23
  GPT4o_0513,0.27722306559544163
 
2
  Qwen2-7B-Instruct,0.2113761361724575
3
  Meta-Llama-3.1-8B-Instruct,0.23889886925287113
4
  llama3-8b-cpt-sea-lionv2.1-instruct,0.2378480031503388
 
5
  Qwen2_5_32B_Instruct,0.26924811164378015
6
  Qwen2_5_7B_Instruct,0.2437311220019033
7
  Qwen2_5_1_5B_Instruct,0.18420680441018222
8
  Qwen2-72B-Instruct,0.23893268538329387
 
9
  Meta-Llama-3-8B-Instruct,0.199495011482748
10
  Meta-Llama-3.1-70B-Instruct,0.2832594176173152
11
  Qwen2_5_3B_Instruct,0.2245195134637718
 
17
  gemma2-9b-cpt-sea-lionv3-instruct,0.25110750921976727
18
  gemma-2-2b-it,0.21164036008441425
19
  llama3-8b-cpt-sea-lionv2-instruct,0.2381535278220489
20
+ cross_openhermes_llama3_8b_12288_inst,0.2437964546132799
21
  Qwen2_5_0_5B_Instruct,0.13846648470535672
22
  GPT4o_0513,0.27722306559544163
results/flores_translation/zero_shot/zsm2eng.csv CHANGED
@@ -2,12 +2,10 @@ Model,BLEU
2
  Qwen2-7B-Instruct,0.28031997065822994
3
  Meta-Llama-3.1-8B-Instruct,0.3700921225177551
4
  llama3-8b-cpt-sea-lionv2.1-instruct,0.39042133634273773
5
- Gemma-2-9b-it-sg-ultrachat-sft,0.4085009869473552
6
  Qwen2_5_32B_Instruct,0.40310877536446654
7
  Qwen2_5_7B_Instruct,0.3466422765302921
8
  Qwen2_5_1_5B_Instruct,0.22890805100949677
9
  Qwen2-72B-Instruct,0.40796892621611885
10
- MERALiON-LLaMA-3-8B-Chat,0.39589080400186966
11
  Meta-Llama-3-8B-Instruct,0.31625368345049
12
  Meta-Llama-3.1-70B-Instruct,0.4462132282683508
13
  Qwen2_5_3B_Instruct,0.31056841204320457
@@ -19,5 +17,6 @@ Qwen2_5_14B_Instruct,0.3841042767934729
19
  gemma2-9b-cpt-sea-lionv3-instruct,0.4059485540822735
20
  gemma-2-2b-it,0.33737270487369614
21
  llama3-8b-cpt-sea-lionv2-instruct,0.38799258214381604
 
22
  Qwen2_5_0_5B_Instruct,0.1194369315142997
23
  GPT4o_0513,0.451496635720668
 
2
  Qwen2-7B-Instruct,0.28031997065822994
3
  Meta-Llama-3.1-8B-Instruct,0.3700921225177551
4
  llama3-8b-cpt-sea-lionv2.1-instruct,0.39042133634273773
 
5
  Qwen2_5_32B_Instruct,0.40310877536446654
6
  Qwen2_5_7B_Instruct,0.3466422765302921
7
  Qwen2_5_1_5B_Instruct,0.22890805100949677
8
  Qwen2-72B-Instruct,0.40796892621611885
 
9
  Meta-Llama-3-8B-Instruct,0.31625368345049
10
  Meta-Llama-3.1-70B-Instruct,0.4462132282683508
11
  Qwen2_5_3B_Instruct,0.31056841204320457
 
17
  gemma2-9b-cpt-sea-lionv3-instruct,0.4059485540822735
18
  gemma-2-2b-it,0.33737270487369614
19
  llama3-8b-cpt-sea-lionv2-instruct,0.38799258214381604
20
+ cross_openhermes_llama3_8b_12288_inst,0.39589080400186966
21
  Qwen2_5_0_5B_Instruct,0.1194369315142997
22
  GPT4o_0513,0.451496635720668
results/fundamental_nlp_tasks/zero_shot/c3.csv CHANGED
@@ -2,12 +2,10 @@ Model,Accuracy
2
  Qwen2-7B-Instruct,0.9244577412116679
3
  Meta-Llama-3.1-8B-Instruct,0.8672400897531788
4
  llama3-8b-cpt-sea-lionv2.1-instruct,0.8676140613313388
5
- Gemma-2-9b-it-sg-ultrachat-sft,0.9083769633507853
6
  Qwen2_5_32B_Instruct,0.9603590127150337
7
  Qwen2_5_7B_Instruct,0.9121166791323859
8
  Qwen2_5_1_5B_Instruct,0.793941660433807
9
  Qwen2-72B-Instruct,0.9611069558713538
10
- MERALiON-LLaMA-3-8B-Chat,0.8485415108451758
11
  Meta-Llama-3-8B-Instruct,0.8515332834704562
12
  Meta-Llama-3.1-70B-Instruct,0.9603590127150337
13
  Qwen2_5_3B_Instruct,0.8668661181750187
@@ -20,5 +18,6 @@ Meta-Llama-3.1-70B,0.7786088257292446
20
  gemma2-9b-cpt-sea-lionv3-instruct,0.9255796559461481
21
  gemma-2-2b-it,0.7700074794315632
22
  llama3-8b-cpt-sea-lionv2-instruct,0.8672400897531788
 
23
  Qwen2_5_0_5B_Instruct,0.612939416604338
24
  GPT4o_0513,0.9648466716529543
 
2
  Qwen2-7B-Instruct,0.9244577412116679
3
  Meta-Llama-3.1-8B-Instruct,0.8672400897531788
4
  llama3-8b-cpt-sea-lionv2.1-instruct,0.8676140613313388
 
5
  Qwen2_5_32B_Instruct,0.9603590127150337
6
  Qwen2_5_7B_Instruct,0.9121166791323859
7
  Qwen2_5_1_5B_Instruct,0.793941660433807
8
  Qwen2-72B-Instruct,0.9611069558713538
 
9
  Meta-Llama-3-8B-Instruct,0.8515332834704562
10
  Meta-Llama-3.1-70B-Instruct,0.9603590127150337
11
  Qwen2_5_3B_Instruct,0.8668661181750187
 
18
  gemma2-9b-cpt-sea-lionv3-instruct,0.9255796559461481
19
  gemma-2-2b-it,0.7700074794315632
20
  llama3-8b-cpt-sea-lionv2-instruct,0.8672400897531788
21
+ cross_openhermes_llama3_8b_12288_inst,0.8485415108451758
22
  Qwen2_5_0_5B_Instruct,0.612939416604338
23
  GPT4o_0513,0.9648466716529543
results/fundamental_nlp_tasks/zero_shot/cola.csv CHANGED
@@ -2,12 +2,10 @@ Model,Accuracy
2
  Qwen2-7B-Instruct,0.7871524448705657
3
  Meta-Llama-3.1-8B-Instruct,0.6673058485139022
4
  llama3-8b-cpt-sea-lionv2.1-instruct,0.613614573346117
5
- Gemma-2-9b-it-sg-ultrachat-sft,0.7698945349952061
6
  Qwen2_5_32B_Instruct,0.8427612655800575
7
  Qwen2_5_7B_Instruct,0.7909875359539789
8
  Qwen2_5_1_5B_Instruct,0.7497603068072867
9
  Qwen2-72B-Instruct,0.8341323106423778
10
- MERALiON-LLaMA-3-8B-Chat,0.8207094918504314
11
  Meta-Llama-3-8B-Instruct,0.6548418024928092
12
  Meta-Llama-3.1-70B-Instruct,0.850431447746884
13
  Qwen2_5_3B_Instruct,0.6644295302013423
@@ -19,5 +17,6 @@ Qwen2_5_14B_Instruct,0.8063279002876318
19
  gemma2-9b-cpt-sea-lionv3-instruct,0.825503355704698
20
  gemma-2-2b-it,0.6749760306807286
21
  llama3-8b-cpt-sea-lionv2-instruct,0.6078619367209971
 
22
  Qwen2_5_0_5B_Instruct,0.6116970278044104
23
  GPT4o_0513,0.8398849472674976
 
2
  Qwen2-7B-Instruct,0.7871524448705657
3
  Meta-Llama-3.1-8B-Instruct,0.6673058485139022
4
  llama3-8b-cpt-sea-lionv2.1-instruct,0.613614573346117
 
5
  Qwen2_5_32B_Instruct,0.8427612655800575
6
  Qwen2_5_7B_Instruct,0.7909875359539789
7
  Qwen2_5_1_5B_Instruct,0.7497603068072867
8
  Qwen2-72B-Instruct,0.8341323106423778
 
9
  Meta-Llama-3-8B-Instruct,0.6548418024928092
10
  Meta-Llama-3.1-70B-Instruct,0.850431447746884
11
  Qwen2_5_3B_Instruct,0.6644295302013423
 
17
  gemma2-9b-cpt-sea-lionv3-instruct,0.825503355704698
18
  gemma-2-2b-it,0.6749760306807286
19
  llama3-8b-cpt-sea-lionv2-instruct,0.6078619367209971
20
+ cross_openhermes_llama3_8b_12288_inst,0.8207094918504314
21
  Qwen2_5_0_5B_Instruct,0.6116970278044104
22
  GPT4o_0513,0.8398849472674976
results/fundamental_nlp_tasks/zero_shot/mnli.csv CHANGED
@@ -2,12 +2,10 @@ Model,Accuracy
2
  Qwen2-7B-Instruct,0.7295
3
  Meta-Llama-3.1-8B-Instruct,0.4825
4
  llama3-8b-cpt-sea-lionv2.1-instruct,0.5775
5
- Gemma-2-9b-it-sg-ultrachat-sft,0.682
6
  Qwen2_5_32B_Instruct,0.8715
7
  Qwen2_5_7B_Instruct,0.8105
8
  Qwen2_5_1_5B_Instruct,0.6045
9
  Qwen2-72B-Instruct,0.7925
10
- MERALiON-LLaMA-3-8B-Chat,0.6485
11
  Meta-Llama-3-8B-Instruct,0.546
12
  Meta-Llama-3.1-70B-Instruct,0.7015
13
  Qwen2_5_3B_Instruct,0.7465
@@ -19,5 +17,6 @@ Qwen2_5_14B_Instruct,0.818
19
  gemma2-9b-cpt-sea-lionv3-instruct,0.7445
20
  gemma-2-2b-it,0.6185
21
  llama3-8b-cpt-sea-lionv2-instruct,0.5765
 
22
  Qwen2_5_0_5B_Instruct,0.5095
23
  GPT4o_0513,0.8335
 
2
  Qwen2-7B-Instruct,0.7295
3
  Meta-Llama-3.1-8B-Instruct,0.4825
4
  llama3-8b-cpt-sea-lionv2.1-instruct,0.5775
 
5
  Qwen2_5_32B_Instruct,0.8715
6
  Qwen2_5_7B_Instruct,0.8105
7
  Qwen2_5_1_5B_Instruct,0.6045
8
  Qwen2-72B-Instruct,0.7925
 
9
  Meta-Llama-3-8B-Instruct,0.546
10
  Meta-Llama-3.1-70B-Instruct,0.7015
11
  Qwen2_5_3B_Instruct,0.7465
 
17
  gemma2-9b-cpt-sea-lionv3-instruct,0.7445
18
  gemma-2-2b-it,0.6185
19
  llama3-8b-cpt-sea-lionv2-instruct,0.5765
20
+ cross_openhermes_llama3_8b_12288_inst,0.6485
21
  Qwen2_5_0_5B_Instruct,0.5095
22
  GPT4o_0513,0.8335
results/fundamental_nlp_tasks/zero_shot/mrpc.csv CHANGED
@@ -1,12 +1,11 @@
1
  Model,Accuracy
2
  Qwen2-7B-Instruct,0.7867647058823529
3
  Meta-Llama-3.1-8B-Instruct,0.6740196078431373
4
- Gemma-2-9b-it-sg-ultrachat-sft,0.7279411764705882
5
  Qwen2_5_32B_Instruct,0.7745098039215687
6
  Qwen2_5_7B_Instruct,0.7058823529411765
7
  Qwen2_5_1_5B_Instruct,0.6838235294117647
8
  Qwen2-72B-Instruct,0.8063725490196079
9
- MERALiON-LLaMA-3-8B-Chat,0.6985294117647058
10
  Meta-Llama-3-8B-Instruct,0.678921568627451
11
  Meta-Llama-3.1-70B-Instruct,0.7696078431372549
12
  Qwen2_5_3B_Instruct,0.5661764705882353
@@ -18,5 +17,6 @@ Qwen2_5_14B_Instruct,0.7794117647058824
18
  gemma2-9b-cpt-sea-lionv3-instruct,0.7794117647058824
19
  gemma-2-2b-it,0.7083333333333334
20
  llama3-8b-cpt-sea-lionv2-instruct,0.5833333333333334
 
21
  Qwen2_5_0_5B_Instruct,0.5759803921568627
22
  GPT4o_0513,0.7377450980392157
 
1
  Model,Accuracy
2
  Qwen2-7B-Instruct,0.7867647058823529
3
  Meta-Llama-3.1-8B-Instruct,0.6740196078431373
4
+ llama3-8b-cpt-sea-lionv2.1-instruct,0.5808823529411765
5
  Qwen2_5_32B_Instruct,0.7745098039215687
6
  Qwen2_5_7B_Instruct,0.7058823529411765
7
  Qwen2_5_1_5B_Instruct,0.6838235294117647
8
  Qwen2-72B-Instruct,0.8063725490196079
 
9
  Meta-Llama-3-8B-Instruct,0.678921568627451
10
  Meta-Llama-3.1-70B-Instruct,0.7696078431372549
11
  Qwen2_5_3B_Instruct,0.5661764705882353
 
17
  gemma2-9b-cpt-sea-lionv3-instruct,0.7794117647058824
18
  gemma-2-2b-it,0.7083333333333334
19
  llama3-8b-cpt-sea-lionv2-instruct,0.5833333333333334
20
+ cross_openhermes_llama3_8b_12288_inst,0.6985294117647058
21
  Qwen2_5_0_5B_Instruct,0.5759803921568627
22
  GPT4o_0513,0.7377450980392157
results/fundamental_nlp_tasks/zero_shot/ocnli.csv CHANGED
@@ -1,12 +1,10 @@
1
  Model,Accuracy
2
  Qwen2-7B-Instruct,0.6542372881355932
3
  Meta-Llama-3.1-8B-Instruct,0.40983050847457625
4
- Gemma-2-9b-it-sg-ultrachat-sft,0.5732203389830508
5
  Qwen2_5_32B_Instruct,0.7742372881355932
6
  Qwen2_5_7B_Instruct,0.6732203389830509
7
  Qwen2_5_1_5B_Instruct,0.5135593220338983
8
  Qwen2-72B-Instruct,0.7820338983050847
9
- MERALiON-LLaMA-3-8B-Chat,0.5925423728813559
10
  Meta-Llama-3-8B-Instruct,0.44033898305084745
11
  Meta-Llama-3.1-70B-Instruct,0.6423728813559322
12
  Qwen2_5_3B_Instruct,0.6145762711864406
@@ -18,5 +16,6 @@ Qwen2_5_14B_Instruct,0.7538983050847458
18
  gemma2-9b-cpt-sea-lionv3-instruct,0.6488135593220339
19
  gemma-2-2b-it,0.43322033898305085
20
  llama3-8b-cpt-sea-lionv2-instruct,0.45559322033898303
 
21
  Qwen2_5_0_5B_Instruct,0.3847457627118644
22
  GPT4o_0513,0.7308474576271187
 
1
  Model,Accuracy
2
  Qwen2-7B-Instruct,0.6542372881355932
3
  Meta-Llama-3.1-8B-Instruct,0.40983050847457625
 
4
  Qwen2_5_32B_Instruct,0.7742372881355932
5
  Qwen2_5_7B_Instruct,0.6732203389830509
6
  Qwen2_5_1_5B_Instruct,0.5135593220338983
7
  Qwen2-72B-Instruct,0.7820338983050847
 
8
  Meta-Llama-3-8B-Instruct,0.44033898305084745
9
  Meta-Llama-3.1-70B-Instruct,0.6423728813559322
10
  Qwen2_5_3B_Instruct,0.6145762711864406
 
16
  gemma2-9b-cpt-sea-lionv3-instruct,0.6488135593220339
17
  gemma-2-2b-it,0.43322033898305085
18
  llama3-8b-cpt-sea-lionv2-instruct,0.45559322033898303
19
+ cross_openhermes_llama3_8b_12288_inst,0.5925423728813559
20
  Qwen2_5_0_5B_Instruct,0.3847457627118644
21
  GPT4o_0513,0.7308474576271187
results/fundamental_nlp_tasks/zero_shot/qnli.csv CHANGED
@@ -1,12 +1,10 @@
1
  Model,Accuracy
2
  Qwen2-7B-Instruct,0.8154859967051071
3
  Meta-Llama-3.1-8B-Instruct,0.5777045579352005
4
- Gemma-2-9b-it-sg-ultrachat-sft,0.8943803770821893
5
  Qwen2_5_32B_Instruct,0.9062786015010068
6
  Qwen2_5_7B_Instruct,0.8652754896576972
7
  Qwen2_5_1_5B_Instruct,0.6148636280431997
8
  Qwen2-72B-Instruct,0.8887058392824455
9
- MERALiON-LLaMA-3-8B-Chat,0.8282994691561413
10
  Meta-Llama-3-8B-Instruct,0.6025993044114956
11
  Meta-Llama-3.1-70B-Instruct,0.9026176093721399
12
  Qwen2_5_3B_Instruct,0.7645982061138569
@@ -18,5 +16,6 @@ Qwen2_5_14B_Instruct,0.9079260479589969
18
  gemma2-9b-cpt-sea-lionv3-instruct,0.9055464030752334
19
  gemma-2-2b-it,0.7792421746293245
20
  llama3-8b-cpt-sea-lionv2-instruct,0.6101043382756727
 
21
  Qwen2_5_0_5B_Instruct,0.5464030752333883
22
  GPT4o_0513,0.9304411495515285
 
1
  Model,Accuracy
2
  Qwen2-7B-Instruct,0.8154859967051071
3
  Meta-Llama-3.1-8B-Instruct,0.5777045579352005
 
4
  Qwen2_5_32B_Instruct,0.9062786015010068
5
  Qwen2_5_7B_Instruct,0.8652754896576972
6
  Qwen2_5_1_5B_Instruct,0.6148636280431997
7
  Qwen2-72B-Instruct,0.8887058392824455
 
8
  Meta-Llama-3-8B-Instruct,0.6025993044114956
9
  Meta-Llama-3.1-70B-Instruct,0.9026176093721399
10
  Qwen2_5_3B_Instruct,0.7645982061138569
 
16
  gemma2-9b-cpt-sea-lionv3-instruct,0.9055464030752334
17
  gemma-2-2b-it,0.7792421746293245
18
  llama3-8b-cpt-sea-lionv2-instruct,0.6101043382756727
19
+ cross_openhermes_llama3_8b_12288_inst,0.8282994691561413
20
  Qwen2_5_0_5B_Instruct,0.5464030752333883
21
  GPT4o_0513,0.9304411495515285
results/fundamental_nlp_tasks/zero_shot/qqp.csv CHANGED
@@ -2,12 +2,10 @@ Model,Accuracy
2
  Qwen2-7B-Instruct,0.781
3
  Meta-Llama-3.1-8B-Instruct,0.5645
4
  llama3-8b-cpt-sea-lionv2.1-instruct,0.625
5
- Gemma-2-9b-it-sg-ultrachat-sft,0.7875
6
  Qwen2_5_32B_Instruct,0.8315
7
  Qwen2_5_7B_Instruct,0.76
8
  Qwen2_5_1_5B_Instruct,0.731
9
  Qwen2-72B-Instruct,0.8065
10
- MERALiON-LLaMA-3-8B-Chat,0.792
11
  Meta-Llama-3-8B-Instruct,0.563
12
  Meta-Llama-3.1-70B-Instruct,0.815
13
  Qwen2_5_3B_Instruct,0.7415
@@ -19,5 +17,6 @@ Qwen2_5_14B_Instruct,0.8255
19
  gemma2-9b-cpt-sea-lionv3-instruct,0.803
20
  gemma-2-2b-it,0.761
21
  llama3-8b-cpt-sea-lionv2-instruct,0.6225
 
22
  Qwen2_5_0_5B_Instruct,0.619
23
  GPT4o_0513,0.8085
 
2
  Qwen2-7B-Instruct,0.781
3
  Meta-Llama-3.1-8B-Instruct,0.5645
4
  llama3-8b-cpt-sea-lionv2.1-instruct,0.625
 
5
  Qwen2_5_32B_Instruct,0.8315
6
  Qwen2_5_7B_Instruct,0.76
7
  Qwen2_5_1_5B_Instruct,0.731
8
  Qwen2-72B-Instruct,0.8065
 
9
  Meta-Llama-3-8B-Instruct,0.563
10
  Meta-Llama-3.1-70B-Instruct,0.815
11
  Qwen2_5_3B_Instruct,0.7415
 
17
  gemma2-9b-cpt-sea-lionv3-instruct,0.803
18
  gemma-2-2b-it,0.761
19
  llama3-8b-cpt-sea-lionv2-instruct,0.6225
20
+ cross_openhermes_llama3_8b_12288_inst,0.792
21
  Qwen2_5_0_5B_Instruct,0.619
22
  GPT4o_0513,0.8085
results/fundamental_nlp_tasks/zero_shot/rte.csv CHANGED
@@ -1,12 +1,11 @@
1
  Model,Accuracy
2
  Qwen2-7B-Instruct,0.8231046931407943
3
  Meta-Llama-3.1-8B-Instruct,0.6750902527075813
4
- Gemma-2-9b-it-sg-ultrachat-sft,0.7256317689530686
5
  Qwen2_5_32B_Instruct,0.9097472924187726
6
  Qwen2_5_7B_Instruct,0.8592057761732852
7
  Qwen2_5_1_5B_Instruct,0.703971119133574
8
  Qwen2-72B-Instruct,0.8447653429602888
9
- MERALiON-LLaMA-3-8B-Chat,0.8050541516245487
10
  Meta-Llama-3-8B-Instruct,0.6173285198555957
11
  Meta-Llama-3.1-70B-Instruct,0.8483754512635379
12
  Qwen2_5_3B_Instruct,0.779783393501805
@@ -18,5 +17,6 @@ Qwen2_5_14B_Instruct,0.8664259927797834
18
  gemma2-9b-cpt-sea-lionv3-instruct,0.8483754512635379
19
  gemma-2-2b-it,0.7292418772563177
20
  llama3-8b-cpt-sea-lionv2-instruct,0.6859205776173285
 
21
  Qwen2_5_0_5B_Instruct,0.5992779783393501
22
  GPT4o_0513,0.8700361010830325
 
1
  Model,Accuracy
2
  Qwen2-7B-Instruct,0.8231046931407943
3
  Meta-Llama-3.1-8B-Instruct,0.6750902527075813
4
+ llama3-8b-cpt-sea-lionv2.1-instruct,0.6859205776173285
5
  Qwen2_5_32B_Instruct,0.9097472924187726
6
  Qwen2_5_7B_Instruct,0.8592057761732852
7
  Qwen2_5_1_5B_Instruct,0.703971119133574
8
  Qwen2-72B-Instruct,0.8447653429602888
 
9
  Meta-Llama-3-8B-Instruct,0.6173285198555957
10
  Meta-Llama-3.1-70B-Instruct,0.8483754512635379
11
  Qwen2_5_3B_Instruct,0.779783393501805
 
17
  gemma2-9b-cpt-sea-lionv3-instruct,0.8483754512635379
18
  gemma-2-2b-it,0.7292418772563177
19
  llama3-8b-cpt-sea-lionv2-instruct,0.6859205776173285
20
+ cross_openhermes_llama3_8b_12288_inst,0.8050541516245487
21
  Qwen2_5_0_5B_Instruct,0.5992779783393501
22
  GPT4o_0513,0.8700361010830325
results/fundamental_nlp_tasks/zero_shot/wnli.csv CHANGED
@@ -1,12 +1,11 @@
1
  Model,Accuracy
2
  Qwen2-7B-Instruct,0.7183098591549296
3
  Meta-Llama-3.1-8B-Instruct,0.49295774647887325
4
- Gemma-2-9b-it-sg-ultrachat-sft,0.647887323943662
5
  Qwen2_5_32B_Instruct,0.8732394366197183
6
  Qwen2_5_7B_Instruct,0.7605633802816901
7
  Qwen2_5_1_5B_Instruct,0.4647887323943662
8
  Qwen2-72B-Instruct,0.8873239436619719
9
- MERALiON-LLaMA-3-8B-Chat,0.5211267605633803
10
  Meta-Llama-3-8B-Instruct,0.4788732394366197
11
  Meta-Llama-3.1-70B-Instruct,0.8450704225352113
12
  Qwen2_5_3B_Instruct,0.647887323943662
@@ -18,5 +17,6 @@ Qwen2_5_14B_Instruct,0.8309859154929577
18
  gemma2-9b-cpt-sea-lionv3-instruct,0.7605633802816901
19
  gemma-2-2b-it,0.43661971830985913
20
  llama3-8b-cpt-sea-lionv2-instruct,0.5774647887323944
 
21
  Qwen2_5_0_5B_Instruct,0.43661971830985913
22
  GPT4o_0513,0.9295774647887324
 
1
  Model,Accuracy
2
  Qwen2-7B-Instruct,0.7183098591549296
3
  Meta-Llama-3.1-8B-Instruct,0.49295774647887325
4
+ llama3-8b-cpt-sea-lionv2.1-instruct,0.5915492957746479
5
  Qwen2_5_32B_Instruct,0.8732394366197183
6
  Qwen2_5_7B_Instruct,0.7605633802816901
7
  Qwen2_5_1_5B_Instruct,0.4647887323943662
8
  Qwen2-72B-Instruct,0.8873239436619719
 
9
  Meta-Llama-3-8B-Instruct,0.4788732394366197
10
  Meta-Llama-3.1-70B-Instruct,0.8450704225352113
11
  Qwen2_5_3B_Instruct,0.647887323943662
 
17
  gemma2-9b-cpt-sea-lionv3-instruct,0.7605633802816901
18
  gemma-2-2b-it,0.43661971830985913
19
  llama3-8b-cpt-sea-lionv2-instruct,0.5774647887323944
20
+ cross_openhermes_llama3_8b_12288_inst,0.5211267605633803
21
  Qwen2_5_0_5B_Instruct,0.43661971830985913
22
  GPT4o_0513,0.9295774647887324
results/general_reasoning/zero_shot/c_eval.csv CHANGED
@@ -2,12 +2,10 @@ Model,Accuracy
2
  Qwen2-7B-Instruct,0.7615193026151931
3
  Meta-Llama-3.1-8B-Instruct,0.5149439601494396
4
  llama3-8b-cpt-sea-lionv2.1-instruct,0.50186799501868
5
- Gemma-2-9b-it-sg-ultrachat-sft,0.5560398505603985
6
  Qwen2_5_32B_Instruct,0.8262764632627646
7
  Qwen2_5_7B_Instruct,0.7459526774595268
8
  Qwen2_5_1_5B_Instruct,0.5971357409713575
9
  Qwen2-72B-Instruct,0.8312577833125778
10
- MERALiON-LLaMA-3-8B-Chat,0.4863013698630137
11
  Meta-Llama-3-8B-Instruct,0.4775840597758406
12
  Meta-Llama-3.1-70B-Instruct,0.6612702366127023
13
  Qwen2_5_3B_Instruct,0.6537982565379825
@@ -19,5 +17,6 @@ Qwen2_5_14B_Instruct,0.7839352428393525
19
  gemma2-9b-cpt-sea-lionv3-instruct,0.5722291407222914
20
  gemma-2-2b-it,0.4352428393524284
21
  llama3-8b-cpt-sea-lionv2-instruct,0.49813200498132004
 
22
  Qwen2_5_0_5B_Instruct,0.41718555417185554
23
  GPT4o_0513,0.7073474470734745
 
2
  Qwen2-7B-Instruct,0.7615193026151931
3
  Meta-Llama-3.1-8B-Instruct,0.5149439601494396
4
  llama3-8b-cpt-sea-lionv2.1-instruct,0.50186799501868
 
5
  Qwen2_5_32B_Instruct,0.8262764632627646
6
  Qwen2_5_7B_Instruct,0.7459526774595268
7
  Qwen2_5_1_5B_Instruct,0.5971357409713575
8
  Qwen2-72B-Instruct,0.8312577833125778
 
9
  Meta-Llama-3-8B-Instruct,0.4775840597758406
10
  Meta-Llama-3.1-70B-Instruct,0.6612702366127023
11
  Qwen2_5_3B_Instruct,0.6537982565379825
 
17
  gemma2-9b-cpt-sea-lionv3-instruct,0.5722291407222914
18
  gemma-2-2b-it,0.4352428393524284
19
  llama3-8b-cpt-sea-lionv2-instruct,0.49813200498132004
20
+ cross_openhermes_llama3_8b_12288_inst,0.4863013698630137
21
  Qwen2_5_0_5B_Instruct,0.41718555417185554
22
  GPT4o_0513,0.7073474470734745
results/general_reasoning/zero_shot/cmmlu.csv CHANGED
@@ -1,12 +1,10 @@
1
  Model,Accuracy
2
  Qwen2-7B-Instruct,0.7727508202383008
3
  Meta-Llama-3.1-8B-Instruct,0.5246934898981178
4
- Gemma-2-9b-it-sg-ultrachat-sft,0.5615610429977551
5
  Qwen2_5_32B_Instruct,0.8273182524607149
6
  Qwen2_5_7B_Instruct,0.7486617164565705
7
  Qwen2_5_1_5B_Instruct,0.5975651873596961
8
  Qwen2-72B-Instruct,0.8293904334311863
9
- MERALiON-LLaMA-3-8B-Chat,0.48877568640994645
10
  Meta-Llama-3-8B-Instruct,0.4839405974788465
11
  Meta-Llama-3.1-70B-Instruct,0.6814885166637886
12
  Qwen2_5_3B_Instruct,0.6621481609393887
@@ -18,5 +16,6 @@ Qwen2_5_14B_Instruct,0.7807805214988776
18
  gemma2-9b-cpt-sea-lionv3-instruct,0.5796062856156105
19
  gemma-2-2b-it,0.4412882058366431
20
  llama3-8b-cpt-sea-lionv2-instruct,0.48929373165256435
 
21
  Qwen2_5_0_5B_Instruct,0.42056639613192887
22
  GPT4o_0513,0.7414954239336902
 
1
  Model,Accuracy
2
  Qwen2-7B-Instruct,0.7727508202383008
3
  Meta-Llama-3.1-8B-Instruct,0.5246934898981178
 
4
  Qwen2_5_32B_Instruct,0.8273182524607149
5
  Qwen2_5_7B_Instruct,0.7486617164565705
6
  Qwen2_5_1_5B_Instruct,0.5975651873596961
7
  Qwen2-72B-Instruct,0.8293904334311863
 
8
  Meta-Llama-3-8B-Instruct,0.4839405974788465
9
  Meta-Llama-3.1-70B-Instruct,0.6814885166637886
10
  Qwen2_5_3B_Instruct,0.6621481609393887
 
16
  gemma2-9b-cpt-sea-lionv3-instruct,0.5796062856156105
17
  gemma-2-2b-it,0.4412882058366431
18
  llama3-8b-cpt-sea-lionv2-instruct,0.48929373165256435
19
+ cross_openhermes_llama3_8b_12288_inst,0.48877568640994645
20
  Qwen2_5_0_5B_Instruct,0.42056639613192887
21
  GPT4o_0513,0.7414954239336902
results/general_reasoning/zero_shot/indommlu.csv CHANGED
@@ -2,12 +2,10 @@ Model,Accuracy
2
  Qwen2-7B-Instruct,0.5385539755657921
3
  Meta-Llama-3.1-8B-Instruct,0.5252687095266707
4
  llama3-8b-cpt-sea-lionv2.1-instruct,0.5269377127979171
5
- Gemma-2-9b-it-sg-ultrachat-sft,0.6051805861539489
6
  Qwen2_5_32B_Instruct,0.6314840777087923
7
  Qwen2_5_7B_Instruct,0.5600507376994459
8
  Qwen2_5_1_5B_Instruct,0.4295346818879765
9
  Qwen2-72B-Instruct,0.6385606515788771
10
- MERALiON-LLaMA-3-8B-Chat,0.5533747246144602
11
  Meta-Llama-3-8B-Instruct,0.5264703918819681
12
  Meta-Llama-3.1-70B-Instruct,0.6740770411910008
13
  Qwen2_5_3B_Instruct,0.49656185326123237
@@ -19,5 +17,6 @@ Qwen2_5_14B_Instruct,0.6009746979104079
19
  gemma2-9b-cpt-sea-lionv3-instruct,0.6196007744175178
20
  gemma-2-2b-it,0.48220842512851325
21
  llama3-8b-cpt-sea-lionv2-instruct,0.5252687095266707
 
22
  Qwen2_5_0_5B_Instruct,0.3279925228653448
23
  GPT4o_0513,0.7584618465852193
 
2
  Qwen2-7B-Instruct,0.5385539755657921
3
  Meta-Llama-3.1-8B-Instruct,0.5252687095266707
4
  llama3-8b-cpt-sea-lionv2.1-instruct,0.5269377127979171
 
5
  Qwen2_5_32B_Instruct,0.6314840777087923
6
  Qwen2_5_7B_Instruct,0.5600507376994459
7
  Qwen2_5_1_5B_Instruct,0.4295346818879765
8
  Qwen2-72B-Instruct,0.6385606515788771
 
9
  Meta-Llama-3-8B-Instruct,0.5264703918819681
10
  Meta-Llama-3.1-70B-Instruct,0.6740770411910008
11
  Qwen2_5_3B_Instruct,0.49656185326123237
 
17
  gemma2-9b-cpt-sea-lionv3-instruct,0.6196007744175178
18
  gemma-2-2b-it,0.48220842512851325
19
  llama3-8b-cpt-sea-lionv2-instruct,0.5252687095266707
20
+ cross_openhermes_llama3_8b_12288_inst,0.5533747246144602
21
  Qwen2_5_0_5B_Instruct,0.3279925228653448
22
  GPT4o_0513,0.7584618465852193
results/general_reasoning/zero_shot/mmlu.csv CHANGED
@@ -1,12 +1,10 @@
1
  Model,Accuracy
2
  Qwen2-7B-Instruct,0.672506256703611
3
  Meta-Llama-3.1-8B-Instruct,0.6037182695745441
4
- Gemma-2-9b-it-sg-ultrachat-sft,0.7028244547729711
5
  Qwen2_5_32B_Instruct,0.7996424740793707
6
  Qwen2_5_7B_Instruct,0.6935287808366106
7
  Qwen2_5_1_5B_Instruct,0.5646764390418305
8
  Qwen2-72B-Instruct,0.7922774401144083
9
- MERALiON-LLaMA-3-8B-Chat,0.5870575616732213
10
  Meta-Llama-3-8B-Instruct,0.6005720414730068
11
  Meta-Llama-3.1-70B-Instruct,0.8058634250983197
12
  Qwen2_5_3B_Instruct,0.6118698605648909
@@ -15,7 +13,9 @@ Qwen2_5_72B_Instruct,0.8129424383267787
15
  gemma-2-9b-it,0.7100464783696818
16
  Meta-Llama-3-70B-Instruct,0.7649624597783339
17
  Qwen2_5_14B_Instruct,0.7542366821594566
 
18
  gemma-2-2b-it,0.5706828745084018
19
  llama3-8b-cpt-sea-lionv2-instruct,0.6130854486950303
 
20
  Qwen2_5_0_5B_Instruct,0.461136932427601
21
  GPT4o_0513,0.8308187343582409
 
1
  Model,Accuracy
2
  Qwen2-7B-Instruct,0.672506256703611
3
  Meta-Llama-3.1-8B-Instruct,0.6037182695745441
 
4
  Qwen2_5_32B_Instruct,0.7996424740793707
5
  Qwen2_5_7B_Instruct,0.6935287808366106
6
  Qwen2_5_1_5B_Instruct,0.5646764390418305
7
  Qwen2-72B-Instruct,0.7922774401144083
 
8
  Meta-Llama-3-8B-Instruct,0.6005720414730068
9
  Meta-Llama-3.1-70B-Instruct,0.8058634250983197
10
  Qwen2_5_3B_Instruct,0.6118698605648909
 
13
  gemma-2-9b-it,0.7100464783696818
14
  Meta-Llama-3-70B-Instruct,0.7649624597783339
15
  Qwen2_5_14B_Instruct,0.7542366821594566
16
+ gemma2-9b-cpt-sea-lionv3-instruct,0.7079013228459063
17
  gemma-2-2b-it,0.5706828745084018
18
  llama3-8b-cpt-sea-lionv2-instruct,0.6130854486950303
19
+ cross_openhermes_llama3_8b_12288_inst,0.5870575616732213
20
  Qwen2_5_0_5B_Instruct,0.461136932427601
21
  GPT4o_0513,0.8308187343582409
results/general_reasoning/zero_shot/zbench.csv CHANGED
@@ -2,12 +2,10 @@ Model,Accuracy
2
  Qwen2-7B-Instruct,0.7272727272727273
3
  Meta-Llama-3.1-8B-Instruct,0.42424242424242425
4
  llama3-8b-cpt-sea-lionv2.1-instruct,0.2727272727272727
5
- Gemma-2-9b-it-sg-ultrachat-sft,0.36363636363636365
6
  Qwen2_5_32B_Instruct,0.6060606060606061
7
  Qwen2_5_7B_Instruct,0.6666666666666666
8
  Qwen2_5_1_5B_Instruct,0.42424242424242425
9
  Qwen2-72B-Instruct,0.5757575757575758
10
- MERALiON-LLaMA-3-8B-Chat,0.42424242424242425
11
  Meta-Llama-3-8B-Instruct,0.3333333333333333
12
  Meta-Llama-3.1-70B-Instruct,0.48484848484848486
13
  Qwen2_5_3B_Instruct,0.5757575757575758
@@ -19,5 +17,6 @@ Qwen2_5_14B_Instruct,0.6666666666666666
19
  gemma2-9b-cpt-sea-lionv3-instruct,0.42424242424242425
20
  gemma-2-2b-it,0.24242424242424243
21
  llama3-8b-cpt-sea-lionv2-instruct,0.30303030303030304
 
22
  Qwen2_5_0_5B_Instruct,0.36363636363636365
23
  GPT4o_0513,0.696969696969697
 
2
  Qwen2-7B-Instruct,0.7272727272727273
3
  Meta-Llama-3.1-8B-Instruct,0.42424242424242425
4
  llama3-8b-cpt-sea-lionv2.1-instruct,0.2727272727272727
 
5
  Qwen2_5_32B_Instruct,0.6060606060606061
6
  Qwen2_5_7B_Instruct,0.6666666666666666
7
  Qwen2_5_1_5B_Instruct,0.42424242424242425
8
  Qwen2-72B-Instruct,0.5757575757575758
 
9
  Meta-Llama-3-8B-Instruct,0.3333333333333333
10
  Meta-Llama-3.1-70B-Instruct,0.48484848484848486
11
  Qwen2_5_3B_Instruct,0.5757575757575758
 
17
  gemma2-9b-cpt-sea-lionv3-instruct,0.42424242424242425
18
  gemma-2-2b-it,0.24242424242424243
19
  llama3-8b-cpt-sea-lionv2-instruct,0.30303030303030304
20
+ cross_openhermes_llama3_8b_12288_inst,0.42424242424242425
21
  Qwen2_5_0_5B_Instruct,0.36363636363636365
22
  GPT4o_0513,0.696969696969697