Gemini-Pro

model_name: Gemini-Pro

model_description: Gemini models are built from the ground up for multimodality: reasoning seamlessly across text, images, audio, video, and code.

date_published: 2024-06-07

open_weights: False

open_dataset: False

nr_of_parameters: None

github:

None

paper: https://arxiv.org/abs/2403.05530

api_endpoint: True

nr_of_tokens: None

architecture: DecoderOnly

mixture_of_experts: None

model_alignment: None

reinforcement_learning_from_human_feedback: True

domain_specific_pretraining: False

domain_specific_finetuning: False

tool_use: False

tool_type: None

temperature: 1.0

epochs: None

Topic wise score

Topic	Score
computational chemistry	0.714
electrochemistry	0.591
biochemistry	0.557
organic chemistry	0.492
toxicology	0.485
macromolecular chemistry	0.481
general chemistry	0.473
materials science	0.435
physical chemistry	0.231
chemical safety	0.174
analytical chemistry	0.139