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Mistral-7B-Instruct-v0.3

MERA Created at 09.10.2025 16:06

Ratings for leaderboard tasks

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Task name Result Place in the rating
Agricultural industry 0.188 79
Medicine and healthcare 0.213 79

ruTXTAgroBench

Metric: F1, Exact Match

Discipline Result
Botany 0.07
General genetics 0.127
The basics of breeding 0.147
Crop production 0.089
General agriculture 0.15
Reclamation farming 0.089
Seed production and seed science 0.107
Forage production and meadow farming 0.089
Farming systems on various agricultural landscapes 0.114
Technologies of cultivation of agricultural crops 0.062

ruTXTAquaBench

Metric: F1, Exact Match

Discipline Result
Industrial aquaculture 0.159
Feeding of fish and other aquatic organisms 0.151
Mariculture. Breeding of crayfish and shrimps. Artificial pearl cultivation 0.106
Ichthyopathology: veterinary medicine, prevention and optimization of fish farming technologies 0.098

ruTXTMedQFundamental

Metric: F1, Exact Match

Discipline Result
Anatomy 0.137
Hygiene 0.211
Histology 0.115
Biophysics 0.2
Biochemistry 0.152
Microbiology 0.204
Biology (parasitology) 0.159
Pharmacology 0.174
Faculty Surgery 0.144
General Surgery 0.141
General chemistry 0.152
Normal physiology 0.167
Bioorganic chemistry 0.144
Pathological anatomy 0.215
Pathophysiology 0.189
Clinical laboratory diagnostics 0.211
Propaedeutics in internal medicine 0.204

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
bfloat16
Seed
1234
Batch
1
Transformers version
4.57.0
The number of GPUs and their type
1 x NVIDIA A100 80GB
Architecture
local-chat-completions

Team:

MERA

Name of the ML model:

Mistral-7B-Instruct-v0.3

Link to the ML model:

https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3

Model size

7.3B

Model type:

Opened

SFT

MERA

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