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GPT-2

Model ● Covered in 15 stories Compare ⇄ + Follow

GPT-2 is a 1.5 billion parameter language model released by OpenAI in a staged rollout that served as a test case for responsible AI model publication. Since its 2019 release, GPT-2 has become a widely-used baseline for evaluating newer models and architectures, with recent research using it for applications ranging from aspect-based sentiment analysis to code generation (CodeParrot) and neuron interpretability studies. The model continues to be optimized across various hardware platforms including ONNX Runtime and Graphcore IPU processors, and remains a reference point for architectural improvements in the transformer-based model landscape.

Updated 3 August 2026

Specifications

No specifications recorded yet.

Latest developments

Meet Gigatoken: A Rust BPE Tokenizer that Encodes Text at 24.53 GB/s, up to 989x Faster than HuggingFace Tokenizers MarkTechPost · 1 week ago · 32 CoFrGeNets replace the ‘bones’ of transformer-based models IBM Research · 3 weeks ago · 13 From GPT-2 to gpt-oss: Analyzing the Architectural Advances Ahead of AI · 11 months ago · 30 Data Machina #257 Data Machina · 2 years ago · 8
SetFitABSA: Few-Shot Aspect Based Sentiment Analysis using SetFit Hugging Face Blog · 2 years ago · 11
Accelerating over 130,000 Hugging Face models with ONNX Runtime Hugging Face Blog · 2 years ago · 15
Language models can explain neurons in language models OpenAI Blog · 3 years ago · 30
Graphcore and Hugging Face Launch New Lineup of IPU-Ready Transformers Hugging Face Blog · 4 years ago · 1

Timeline

Month Quarter Year

Q3 2026

Q3 2025

Q2 2024

Q4 2023

Q2 2023

Q2 2022

Q4 2021

Q1 2021

Q4 2019

Q3 2019

Q2 2019

Q1 2019

Relationships

Products & technology

  • OpenAI develops this model · 4 sources
  • Graphcore integrated with this model · 1 source
  • Hugging Face integrated with this model · 1 source
  • CodeParrot derived from this model · 1 source
  • MuseNet derived from this model · 1 source

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