Skip to main content

self-play-pretrain-zero-data (wip)

Implementation of Self-Play Pretraining with Zero Data

Paper Review from @hu-po

Citations

@misc{cowsik2026selfplaypretrainingzerodata,
    title    = {Self-Play Pretraining with Zero Data},
    author   = {Aditya Cowsik and Kfir Dolev and Michael Y. Li and G. Bruno De Luca and Nourya Cohen and Noah D. Goodman and Yoav Levine},
    year     = {2026},
    eprint   = {2609.30063},
    archivePrefix = {arXiv},
    primaryClass = {cs.AI},
    url      = {https://arxiv.org/abs/2609.30063},
}
@software{Morehead_JVP_Flash_Attention_2025,
    author  = {Morehead, Alex},
    doi     = {10.5281/zenodo.17050188},
    license = {MIT},
    month   = {sep},
    title   = {JVP Flash Attention},
    url     = {https://github.com/amorehead/jvp_flash_attention},
    version = {0.14.0},
    year    = {2025}
}
@misc{bloem2025universalpretrainingiteratedrandom,
    title   = {Universal pre-training by iterated random computation},
    author  = {Peter Bloem},
    year    = {2025},
    eprint  = {2506.20057},
    archivePrefix = {arXiv},
    primaryClass = {cs.LG},
    url     = {https://arxiv.org/abs/2506.20057},
}

Metadata

Release files for self-play-pretrain-zero-data 0.0.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for self-play-pretrain-zero-data 0.0.2
File Size Uploaded
self_play_pretrain_zero_data-0.0.2.tar.gz 7.5 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for self-play-pretrain-zero-data 0.0.2
File Interpreter ABI Platform
self_play_pretrain_zero_data-0.0.2-py3-none-any.whl Python 3 none any Details

Total release size: 16.3 kB

Release files / self_play_pretrain_zero_data-0.0.2.tar.gz

Download URL self_play_pretrain_zero_data-0.0.2.tar.gz
Size 7.5 kB
Tags Source
SHA-256 checksum
How to use checksums
839bdbbd6b28471109c6c48b5f20478aafbca675a058c672d2cc9646a253a2fe
BLAKE2b-256 checksum
How to use checksums
dbb65045cc05d364892c4853d39347df4f42dc14756156f80d6eee050913677a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.8.17

Release files / self_play_pretrain_zero_data-0.0.2-py3-none-any.whl

Download URL self_play_pretrain_zero_data-0.0.2-py3-none-any.whl
Size 8.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
b561403d0e2635f78ab307073f5ba08b7c32eca93b38225daa14689def1bf9e4
BLAKE2b-256 checksum
How to use checksums
5226d6c001601b63320cbbc0e1aef61b55dd5c66c562238e1a0f16bfc4dcd419
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.8.17

Release history Release notifications | RSS feed

0.0.5

2 release files

0.0.4

2 release files

0.0.3

2 release files

This release

0.0.2 This release

2 release files

0.0.1

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page