1.7 KiB
1.7 KiB
license, tags
| license | tags | |||||
|---|---|---|---|---|---|---|
| mit |
|
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)