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BERTYear: 2018

Bidirectional Encoder Representations from Transformers, a powerful NLP model for various language understanding tasks.

90
92
nlp

Provider: Google

Parameters: ~340 million

Required RAM: ~4GB

Accuracy90%
Speed92%
Efficiency89%
License: Apache-2.0
ResNetYear: 2015

Deep residual learning framework that revolutionized image recognition and classification tasks.

93
95
cv

Provider: Microsoft Research

Parameters: ~25 million (ResNet-50)

Required RAM: ~500MB

Accuracy93%
Speed95%
Efficiency91%
License: MIT
Llama 2Year: 2023

Open-source large language model developed by Meta, suitable for various natural language processing tasks.

94
91
nlp

Provider: Meta

Parameters: 7 billion - 70 billion

Required RAM: 16GB - 128GB

Accuracy94%
Speed91%
Efficiency93%
License: LLAMA 2 Community License
Stable Diffusion v1.5Year: 2022

Open-source text-to-image generation model known for its high-quality image synthesis capabilities.

96
89
cv

Provider: Stability AI

Parameters: ~1 billion

Required RAM: ~8GB

Accuracy96%
Speed89%
Efficiency92%
License: CreativeML Open RAIL-M
T5Year: 2019

Text-to-Text Transfer Transformer, a versatile text-to-text framework that can be fine-tuned for various NLP tasks with impressive performance.

95
88
nlp

Provider: Google

Parameters: ~11 billion

Required RAM: ~16GB

Accuracy95%
Speed88%
Efficiency91%
License: Apache-2.0
DeepSeek LLM 7BYear: 2023

A powerful open-source language model with strong performance across various NLP tasks.

96
90
nlp

Provider: DeepSeek AI

Parameters: 7 billion

Required RAM: 16GB

Accuracy96%
Speed90%
Efficiency92%
License: DeepSeek License
MiniCPM-2BYear: 2023

A compact yet powerful language model with strong performance, suitable for various NLP applications.

92
94
nlp

Provider: OpenBMB

Parameters: 2 billion

Required RAM: ~8GB

Accuracy92%
Speed94%
Efficiency95%
License: Apache-2.0