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self-rewarding-lm-pytorch

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0.2.12 self_rewarding_lm_pytorch-0.2.12-py3-none-any.whl

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Project: self-rewarding-lm-pytorch
Version: 0.2.12
Filename: self_rewarding_lm_pytorch-0.2.12-py3-none-any.whl
Download: [link]
Size: 20205
MD5: e28d6d8c2ccd72215b4e4179399d58bd
SHA256: d40a18c7f3428fa826a77eed1265eb863c8b4d92a8901a5d8447d9737d733b0b
Uploaded: 2024-04-11 01:10:14 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: self-rewarding-lm-pytorch
Version: 0.2.12
Summary: Self Rewarding LM - Pytorch
Author: Phil Wang
Author-Email: lucidrains[at]gmail.com
Home-Page: https://github.com/lucidrains/self-rewarding-lm-pytorch
License: MIT
Keywords: artificial intelligence,deep learning,self rewarding,direct preference optimization
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Requires-Dist: accelerate
Requires-Dist: beartype
Requires-Dist: einops (>=0.7.0)
Requires-Dist: einx[torch] (>=0.1.3)
Requires-Dist: ema-pytorch (>=0.3.3)
Requires-Dist: Jinja2
Requires-Dist: numpy
Requires-Dist: pytorch-custom-utils (>=0.0.17)
Requires-Dist: torch (>=2.0)
Requires-Dist: torchtyping
Requires-Dist: tqdm
Description-Content-Type: text/markdown
License-File: LICENSE
[No description]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.43.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

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self_rewarding_lm_pytorch-0.2.12.dist-info/RECORD — —

top_level.txt

self_rewarding_lm_pytorch