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Gemini 1.5 Pro

llmarena.ru Created at 18.03.2025 14:25
0.675
The overall result
31
Place in the rating
In the top by tasks:
3
PARus
The task is one of the main ones
10
ruEthics
7
CheGeKa
The task is one of the main ones
Weak tasks:
66
RWSD
25
RCB
69
MultiQ
23
ruWorldTree
20
ruOpenBookQA
30
ruMMLU
90
ruHateSpeech
59
ruDetox
65
ruHHH
37
ruHumanEval
30
USE
35
MathLogicQA
35
ruMultiAr
92
SimpleAr
35
LCS
32
BPS
88
ruModAr
24
MaMuRAMu
40
ruCodeEval
+15
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Ratings for leaderboard tasks

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Task name Result Metric
LCS 0.244 Accuracy
RCB 0.598 / 0.57 Accuracy F1 macro
USE 0.433 Grade norm
RWSD 0.627 Accuracy
PARus 0.958 Accuracy
ruTiE 0.905 Accuracy
MultiQ 0.568 / 0.418 F1 Exact match
CheGeKa 0.63 / 0.534 F1 Exact match
ruModAr 0.707 Exact match
MaMuRAMu 0.868 Accuracy
ruMultiAr 0.507 Exact match
ruCodeEval 0.412 / 0.472 / 0.494 Pass@k
MathLogicQA 0.818 Accuracy
ruWorldTree 0.99 / 0.99 Accuracy F1 macro
ruOpenBookQA 0.95 / 0.95 Accuracy F1 macro

Evaluation on open tasks:

Go to the ratings by subcategory

The table will scroll to the left

Task name Result Metric
BPS 0.995 Accuracy
ruMMLU 0.804 Accuracy
SimpleAr 0.99 Exact match
ruHumanEval 0.427 / 0.501 / 0.524 Pass@k
ruHHH 0.854
ruHateSpeech 0.811
ruDetox 0.326
ruEthics
Correct God Ethical
Virtue 0.518 0.485 0.675
Law 0.505 0.466 0.643
Moral 0.545 0.508 0.694
Justice 0.457 0.422 0.586
Utilitarianism 0.42 0.43 0.559

Information about the submission

Mera version
v.1.2.0
Torch Version
2.5.1
The version of the codebase
30667dc
CUDA version
12.4
Precision of the model weights
auto
Seed
1234
Batch
1
Transformers version
4.49.0
The number of GPUs and their type
0
Architecture
local-chat-completions

Team:

llmarena.ru

Name of the ML model:

Gemini 1.5 Pro

Link to the ML model:

https://ai.google.dev/gemini-api/docs/models#gemini-1.5-pro

Model type:

Closed

API

SFT

Additional links:

Замер осуществлялся через сервис openrouter (https://openrouter.ai/google/gemini-pro-1.5)

License:

Proptietary model by DeepMind Google

Inference parameters

Generation Parameters:
rucodeeval - do_sample=true;temperature=0.6;until=[" \nclass"," \ndef"," \n#"," \nif"," \nprint"]; \nruhumaneval - do_sample=true;temperature=0.6;until=[" \nclass"," \ndef"," \n#"," \nif"," \nprint"];

System prompt:
Реши задачу по инструкции ниже. Не давай никаких объяснений и пояснений к своему ответу. Не пиши ничего лишнего. Пиши только то, что указано в инструкции. Если по инструкции нужно решить пример, то напиши только числовой ответ без хода решения и пояснений. Если по инструкции нужно вывести букву, цифру или слово, выведи только его. Если по инструкции нужно выбрать один из вариантов ответа и вывести букву или цифру, которая ему соответствует, то выведи только эту букву или цифру, не давай никаких пояснений, не добавляй знаки препинания, только 1 символ в ответе. Если по инструкции нужно дописать код функции на языке Python, пиши сразу код, соблюдая отступы так, будто ты продолжаешь функцию из инструкции, не давай пояснений, не пиши комментарии, используй только аргументы из сигнатуры функции в инструкции, не пробуй считывать данные через функцию input. Не извиняйся, не строй диалог. Выдавай только ответ и ничего больше.

Ratings by subcategory

Metric: Grade Norm
Model, team 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 8_0 8_1 8_2 8_3 8_4
Gemini 1.5 Pro
llmarena.ru 		0.7 0.767 0.8 0.233 0.333 0.833 0.1 - 0.2 0 0 0 0.333 0.067 0.133 0.283 0.133 0.1 0.267 0.1 0.2 0.767 0.633 0.533 0.4 0.817 0.367 0.6 0.833 0.567 0.9
Model, team Honest Helpful Harmless
Gemini 1.5 Pro
llmarena.ru 		0.836 0.797 0.931
Model, team Anatomy Virology Astronomy Marketing Nutrition Sociology Management Philosophy Prehistory Human aging Econometrics Formal logic Global facts Jurisprudence Miscellaneous Moral disputes Business ethics Biology (college) Physics (college) Human Sexuality Moral scenarios World religions Abstract algebra Medicine (college) Machine learning Medical genetics Professional law PR Security studies Chemistry (школьная) Computer security International law Logical fallacies Politics Clinical knowledge Conceptual_physics Math (college) Biology (high school) Physics (high school) Chemistry (high school) Geography (high school) Professional medicine Electrical engineering Elementary mathematics Psychology (high school) Statistics (high school) History (high school) Math (high school) Professional accounting Professional psychology Computer science (college) World history (high school) Macroeconomics Microeconomics Computer science (high school) European history Government and politics
Gemini 1.5 Pro
llmarena.ru 		0.785 0.53 0.895 0.893 0.85 0.876 0.825 0.807 0.883 0.789 0.702 0.698 0.7 0.88 0.922 0.789 0.83 0.944 0.811 0.824 0.616 0.877 0.78 0.798 0.741 0.94 0.626 0.722 0.833 0.67 0.73 0.893 0.81 0.869 0.86 0.863 0.76 0.948 0.821 0.803 0.904 0.897 0.779 0.899 0.929 0.81 0.926 0.693 0.645 0.823 0.72 0.911 0.892 0.933 0.97 0.836 0.938
Model, team SIM FL STA
Gemini 1.5 Pro
llmarena.ru 		0.558 0.778 0.777
Model, team Anatomy Virology Astronomy Marketing Nutrition Sociology Managment Philosophy Pre-History Gerontology Econometrics Formal logic Global facts Jurisprudence Miscellaneous Moral disputes Business ethics Bilology (college) Physics (college) Human sexuality Moral scenarios World religions Abstract algebra Medicine (college) Machine Learning Genetics Professional law PR Security Chemistry (college) Computer security International law Logical fallacies Politics Clinical knowledge Conceptual physics Math (college) Biology (high school) Physics (high school) Chemistry (high school) Geography (high school) Professional medicine Electrical Engineering Elementary mathematics Psychology (high school) Statistics (high school) History (high school) Math (high school) Professional Accounting Professional psychology Computer science (college) World history (high school) Macroeconomics Microeconomics Computer science (high school) Europe History Government and politics
Gemini 1.5 Pro
llmarena.ru 		0.8 0.911 0.883 0.75 0.947 0.845 0.759 0.772 0.865 0.831 0.808 0.825 0.675 0.899 0.854 0.778 0.776 0.844 0.877 0.86 0.895 0.932 0.889 0.911 0.911 0.864 0.923 0.825 0.947 0.933 0.867 0.936 0.857 0.93 0.727 0.875 0.933 0.911 0.86 0.831 0.959 0.937 0.867 0.978 0.914 0.911 0.931 0.886 0.862 0.965 0.911 0.942 0.848 0.792 0.651 0.865 0.956
Coorect
Good
Ethical
Model, team Virtue Law Moral Justice Utilitarianism
Gemini 1.5 Pro
llmarena.ru 		0.518 0.505 0.545 0.457 0.42
Model, team Virtue Law Moral Justice Utilitarianism
Gemini 1.5 Pro
llmarena.ru 		0.485 0.466 0.508 0.422 0.43
Model, team Virtue Law Moral Justice Utilitarianism
Gemini 1.5 Pro
llmarena.ru 		0.675 0.643 0.694 0.586 0.559
Model, team Women Men LGBT Nationalities Migrants Other
Gemini 1.5 Pro
llmarena.ru 		0.806 0.771 0.882 0.757 0.857 0.852

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