xaitalk/gpt2-mirror

GPT-2 (OpenAI / HuggingFace) — xaitalk mirror

This is a bit-identical mirror of the canonical artifact from OpenAI / HuggingFace.

The mirror exists only as a resilience fallback for the xaitalk library — the upstream remains authoritative. All credit and licensing for the model belong to the original authors.

Attribution

Field	Value
Original authors	OpenAI / HuggingFace
Upstream (authoritative)	https://huggingface.co/openai-community/gpt2
Source repo	https://github.com/openai/gpt-2
Paper	https://openai.com/research/better-language-models (Radford et al. 2019)
License	mit (inherited from upstream — please respect upstream's terms)
Mirror file	pytorch_model.bin
SHA-256	7c5d3f4b8b76583b422fcb9189ad6c89d5d97a094541ce8932dce3ecabde1421
Size	548,118,077 bytes (522.7 MB)

How xaitalk loads this file

from xaitalk.hub import ensure_model
weights_path = ensure_model("gpt2")
# Tries the canonical upstream first; falls back to this xaitalk mirror
# automatically if upstream is unreachable.

Why mirror?

xaitalk's research-grade reproducibility claim relies on every weight file being recoverable years from now. We mirror artifacts ≤ 2.5 GB under xaitalk/*-mirror so the pipeline survives upstream URL changes, repo renames, or deletions. Bit-level parity with the canonical is asserted in CI via python -m xaitalk.hub verify-mirrors.

Citation

If you use this model, please cite the original paper (not the mirror):

https://openai.com/research/better-language-models (Radford et al. 2019)