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Gemini 2.5 Flash

MERA Created at 09.10.2025 16:02

Ratings for leaderboard tasks

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Task name Result Place in the rating
Agricultural industry 0.502 3
Medicine and healthcare 0.777 2

ruTXTAgroBench

Metric: F1, Exact Match

Discipline Result
Botany 0.639
General genetics 0.592
The basics of breeding 0.618
Crop production 0.467
General agriculture 0.467
Reclamation farming 0.393
Seed production and seed science 0.493
Forage production and meadow farming 0.411
Farming systems on various agricultural landscapes 0.447
Technologies of cultivation of agricultural crops 0.488

ruTXTAquaBench

Metric: F1, Exact Match

Discipline Result
Industrial aquaculture 0.506
Feeding of fish and other aquatic organisms 0.436
Mariculture. Breeding of crayfish and shrimps. Artificial pearl cultivation 0.373
Ichthyopathology: veterinary medicine, prevention and optimization of fish farming technologies 0.37

ruTXTMedQFundamental

Metric: F1, Exact Match

Discipline Result
Anatomy 0.815
Hygiene 0.733
Histology 0.752
Biophysics 0.722
Biochemistry 0.822
Microbiology 0.83
Biology (parasitology) 0.778
Pharmacology 0.822
Faculty Surgery 0.696
General Surgery 0.715
General chemistry 0.681
Normal physiology 0.833
Bioorganic chemistry 0.748
Pathological anatomy 0.748
Pathophysiology 0.789
Clinical laboratory diagnostics 0.774
Propaedeutics in internal medicine 0.781

Information about the submission

Mera version
v1.0.0
Torch Version
2.8.0
The version of the codebase
c0fc717
CUDA version
12.6
Precision of the model weights
auto
Seed
1234
Batch
1
Transformers version
4.57.0
The number of GPUs and their type
1 x NVIDIA A100 80GB
Architecture
openai-chat-completions

Team:

MERA

Name of the ML model:

Gemini 2.5 Flash

Link to the ML model:

https://deepmind.google/models/gemini/flash/

Model type:

Closed

API

SFT

Additional links:

Proprietary model by DeepMind.

MERA

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