Skip to main content

Python bindings for the GGML GPT-J Laguage model

Project description

PyGPT-J

Official supported Python bindings for GPT4All-J language model based on ggml.

License: MIT

Table of contents

Installation

  1. The easy way is to use the prebuilt wheels
pip install pygptj
  1. Build it from source:
git clone --recursive https://github.com/abdeladim-s/pygptj && cd pygptj
pip install .

Usage

from pygptj.model import Model

 def new_text_callback(text):
        print(text, end="")

model = Model('./models/ggml-gpt4all-j.bin')
model.generate("Once upon a time, ", n_predict=55, new_text_callback=new_text_callback)

If you don't want to use the callback, you can get the results from the generate method once the inference is finished:

generated_text = model.generate("Once upon a time, ", n_predict=55)
print(generated_text)

GPT4All-J Model

Download the GPT4All-J model.

License

This project is licensed under the MIT License.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pygptj-1.0.7.tar.gz (217.5 kB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

pygptj-1.0.7-pp39-pypy39_pp73-win_amd64.whl (164.7 kB view details)

Uploaded PyPyWindows x86-64

pygptj-1.0.7-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (232.3 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ x86-64

pygptj-1.0.7-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (250.4 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ i686

pygptj-1.0.7-pp39-pypy39_pp73-macosx_10_9_x86_64.whl (199.4 kB view details)

Uploaded PyPymacOS 10.9+ x86-64

pygptj-1.0.7-pp38-pypy38_pp73-win_amd64.whl (164.7 kB view details)

Uploaded PyPyWindows x86-64

pygptj-1.0.7-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (233.0 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ x86-64

pygptj-1.0.7-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (250.3 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ i686

pygptj-1.0.7-pp38-pypy38_pp73-macosx_10_9_x86_64.whl (199.5 kB view details)

Uploaded PyPymacOS 10.9+ x86-64

pygptj-1.0.7-cp311-cp311-win_amd64.whl (166.0 kB view details)

Uploaded CPython 3.11Windows x86-64

pygptj-1.0.7-cp311-cp311-win32.whl (137.5 kB view details)

Uploaded CPython 3.11Windows x86

pygptj-1.0.7-cp311-cp311-musllinux_1_1_x86_64.whl (760.7 kB view details)

Uploaded CPython 3.11musllinux: musl 1.1+ x86-64

pygptj-1.0.7-cp311-cp311-musllinux_1_1_i686.whl (828.0 kB view details)

Uploaded CPython 3.11musllinux: musl 1.1+ i686

pygptj-1.0.7-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (231.7 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

pygptj-1.0.7-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl (249.8 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ i686

pygptj-1.0.7-cp311-cp311-macosx_10_9_x86_64.whl (202.4 kB view details)

Uploaded CPython 3.11macOS 10.9+ x86-64

pygptj-1.0.7-cp311-cp311-macosx_10_9_universal2.whl (379.6 kB view details)

Uploaded CPython 3.11macOS 10.9+ universal2 (ARM64, x86-64)

pygptj-1.0.7-cp310-cp310-win_amd64.whl (166.0 kB view details)

Uploaded CPython 3.10Windows x86-64

pygptj-1.0.7-cp310-cp310-win32.whl (137.6 kB view details)

Uploaded CPython 3.10Windows x86

pygptj-1.0.7-cp310-cp310-musllinux_1_1_x86_64.whl (760.6 kB view details)

Uploaded CPython 3.10musllinux: musl 1.1+ x86-64

pygptj-1.0.7-cp310-cp310-musllinux_1_1_i686.whl (828.0 kB view details)

Uploaded CPython 3.10musllinux: musl 1.1+ i686

pygptj-1.0.7-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (231.8 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

pygptj-1.0.7-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl (249.9 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ i686

pygptj-1.0.7-cp310-cp310-macosx_10_9_x86_64.whl (202.4 kB view details)

Uploaded CPython 3.10macOS 10.9+ x86-64

pygptj-1.0.7-cp310-cp310-macosx_10_9_universal2.whl (379.5 kB view details)

Uploaded CPython 3.10macOS 10.9+ universal2 (ARM64, x86-64)

pygptj-1.0.7-cp39-cp39-win_amd64.whl (166.1 kB view details)

Uploaded CPython 3.9Windows x86-64

pygptj-1.0.7-cp39-cp39-win32.whl (137.7 kB view details)

Uploaded CPython 3.9Windows x86

pygptj-1.0.7-cp39-cp39-musllinux_1_1_x86_64.whl (760.7 kB view details)

Uploaded CPython 3.9musllinux: musl 1.1+ x86-64

pygptj-1.0.7-cp39-cp39-musllinux_1_1_i686.whl (828.3 kB view details)

Uploaded CPython 3.9musllinux: musl 1.1+ i686

pygptj-1.0.7-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (231.9 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

pygptj-1.0.7-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (250.3 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ i686

pygptj-1.0.7-cp39-cp39-macosx_10_9_x86_64.whl (202.5 kB view details)

Uploaded CPython 3.9macOS 10.9+ x86-64

pygptj-1.0.7-cp39-cp39-macosx_10_9_universal2.whl (379.6 kB view details)

Uploaded CPython 3.9macOS 10.9+ universal2 (ARM64, x86-64)

pygptj-1.0.7-cp38-cp38-win_amd64.whl (165.9 kB view details)

Uploaded CPython 3.8Windows x86-64

pygptj-1.0.7-cp38-cp38-win32.whl (137.7 kB view details)

Uploaded CPython 3.8Windows x86

pygptj-1.0.7-cp38-cp38-musllinux_1_1_x86_64.whl (760.9 kB view details)

Uploaded CPython 3.8musllinux: musl 1.1+ x86-64

pygptj-1.0.7-cp38-cp38-musllinux_1_1_i686.whl (827.3 kB view details)

Uploaded CPython 3.8musllinux: musl 1.1+ i686

pygptj-1.0.7-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (231.6 kB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

pygptj-1.0.7-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl (249.8 kB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ i686

pygptj-1.0.7-cp38-cp38-macosx_10_9_x86_64.whl (202.5 kB view details)

Uploaded CPython 3.8macOS 10.9+ x86-64

pygptj-1.0.7-cp38-cp38-macosx_10_9_universal2.whl (379.7 kB view details)

Uploaded CPython 3.8macOS 10.9+ universal2 (ARM64, x86-64)

File details

Details for the file pygptj-1.0.7.tar.gz.

File metadata

  • Download URL: pygptj-1.0.7.tar.gz
  • Upload date:
  • Size: 217.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.3

File hashes

Hashes for pygptj-1.0.7.tar.gz
Algorithm Hash digest
SHA256 c9d217b6dd815d077f6fcc7bd3ded1dc499a60ae2d937c62d3a9c0a1783e0d9e
MD5 fb0d5551b4267489d63cc853b3dddaa7
BLAKE2b-256 73262527a8f221875e10b04c480b1a8f1a4e84e67542602a33215d7b442db86d

See more details on using hashes here.

File details

Details for the file pygptj-1.0.7-pp39-pypy39_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for pygptj-1.0.7-pp39-pypy39_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 452f7bf289ef808b094bf6ad3cb8aa0d4ec4e4e2e171f86f06b4367f71d0ac4b
MD5 5bc5525d6ae3b20305982892cfa20407
BLAKE2b-256 67cdb2f22031874af309207ecb62ba472c87352300eabd48219deb9dc84350a8

See more details on using hashes here.

File details

Details for the file pygptj-1.0.7-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pygptj-1.0.7-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ba256002c3ceeaea294660d8b0305ac991080afd90f17cd215a97fb0bcba5e93
MD5 e86a4d9b1d5dcfd3e74e5d966ce714fd
BLAKE2b-256 03bf7a00515fdfd7cdf493ab8c902dabc8952ce9bb0bfd3c8ca1ef1cebf1e063

See more details on using hashes here.

File details

Details for the file pygptj-1.0.7-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pygptj-1.0.7-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 f23dcd33c1ccea093010baf871a15d1dd80952ee2631cb396fcb7c2bf809f03e
MD5 3bbc3ecfb7cb5735f17b93e315295a1e
BLAKE2b-256 85e70965b692f60b13c3f4abc130ae389613eb047b80e6bac0519562dd4c89ef

See more details on using hashes here.

File details

Details for the file pygptj-1.0.7-pp39-pypy39_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pygptj-1.0.7-pp39-pypy39_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 a27e062f9066816814769e8827a6271594aef9a9e8072984fed6aa1b9e5500d2
MD5 755d83d5fde1e30159f2edd3c484650e
BLAKE2b-256 1c011fd5c797b773bf855b0e049296183cf3b4067fb7b2c98077e97114ffe22d

See more details on using hashes here.

File details

Details for the file pygptj-1.0.7-pp38-pypy38_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for pygptj-1.0.7-pp38-pypy38_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 a9f84b554adcc7569d7decc849e699f258e145fc81bf1de8729d503f4b104cfa
MD5 f0034ecd9321f732737af230ba3e14f3
BLAKE2b-256 42d67994281efb815ef64f7ce19d1684f7ed2520307261554bc29479b73d2e34

See more details on using hashes here.

File details

Details for the file pygptj-1.0.7-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pygptj-1.0.7-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 40292c24c6cea66551a90b14411942046544e51f735286f5609b21188c17b74f
MD5 0345b92e4a608f01df1e6630798fec96
BLAKE2b-256 c12de30ed92b513c40e16edfd5d2b4e5b48682b36273cbb56d5bdb79527c7fe2

See more details on using hashes here.

File details

Details for the file pygptj-1.0.7-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pygptj-1.0.7-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 71fd41a310ef7c99f599aac1dace2d2fef7a82aff8148070a589d5600e3f767e
MD5 96618c37403d97d4d7359bac57bd6ca3
BLAKE2b-256 fa5deeb09a7f0538e8fc858161fa05bdc9eff494ff03ba46b0fd889b10f84d82

See more details on using hashes here.

File details

Details for the file pygptj-1.0.7-pp38-pypy38_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pygptj-1.0.7-pp38-pypy38_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 f718e0d5f66d70c350d21fd24370ae5b50b3930592ccd3c807a6b364848797b3
MD5 8ecaad9ca935e7c9270c6276486d5aac
BLAKE2b-256 cef3805d876dbc92354d552624eb40ec4da5578ad2c47b926a0661875d2b7f92

See more details on using hashes here.

File details

Details for the file pygptj-1.0.7-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: pygptj-1.0.7-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 166.0 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.3

File hashes

Hashes for pygptj-1.0.7-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 6f5b70aba239cca9f725fe133947e799104c7bd0963fe7ac31993ac167453f6e
MD5 3b5e09bf66ccd7500bb89940de63ba87
BLAKE2b-256 2bfe80643fc9af098cfcce267c3cb9650ffa58ec7d69d1823dbbb5e13aa1c079

See more details on using hashes here.

File details

Details for the file pygptj-1.0.7-cp311-cp311-win32.whl.

File metadata

  • Download URL: pygptj-1.0.7-cp311-cp311-win32.whl
  • Upload date:
  • Size: 137.5 kB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.3

File hashes

Hashes for pygptj-1.0.7-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 077378b89585a79f6e4cc61a2a24bd40443b10721ab41909c21686ab59419c9d
MD5 c697567a5f2af6cc56ee34e073e83142
BLAKE2b-256 3a1068d7d52249170b56c7ea2ab8eb6a116e9445e3c3a21329e40c3032617835

See more details on using hashes here.

File details

Details for the file pygptj-1.0.7-cp311-cp311-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pygptj-1.0.7-cp311-cp311-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 4a14c25d734a11151c56ff8a02c7c4f234ccb54e5c558ff36c035685a821adff
MD5 31d15f670dac580995644a39896c0ee9
BLAKE2b-256 2c60dc243b86c5eb4e5a1cf7bb7feb1c15aaebe813b5b653d2589e5dfb9ba07f

See more details on using hashes here.

File details

Details for the file pygptj-1.0.7-cp311-cp311-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for pygptj-1.0.7-cp311-cp311-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 5f504ae98aba58f6aa5e966820a5eee3e732dc2d1f2c60afa8b0a7293c848100
MD5 c16d424c4613df5fd60008a32404a8c8
BLAKE2b-256 dbde82ed9057f70f4180c0f9bf7bc16fb20bbb2b2efa1dc7d0b215477f28c32d

See more details on using hashes here.

File details

Details for the file pygptj-1.0.7-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pygptj-1.0.7-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ad70a67e670a12be98901e9aa4ccb69b43de02e35e885feda0d8c45bbaef5914
MD5 a58f4076769c1e831151002c2a2c9006
BLAKE2b-256 83de20fc5d7bc044b683e067732b9f649a932877e14a1b2997568ccbfb9f666e

See more details on using hashes here.

File details

Details for the file pygptj-1.0.7-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pygptj-1.0.7-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 76336b5bcbfcd3dbd7408eb0b22fbf22253450274a29e85c13c4858ee21e7756
MD5 39f4198e3d07c17777861a147050a89b
BLAKE2b-256 4469abf13da08ed44b44dc822ad0d9263deb6c7fc3632c4c1d7765aa8e62d66e

See more details on using hashes here.

File details

Details for the file pygptj-1.0.7-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pygptj-1.0.7-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 84492f031a621b844ac0214751088775f4b08cf14b4998747e97ddfe7dc372dd
MD5 b71961e4d6889f603a79764193778d99
BLAKE2b-256 c6c6ca50ed9bafcdbc1e189c1caa90b4bb0193102329938514b2cddb8e3e9c98

See more details on using hashes here.

File details

Details for the file pygptj-1.0.7-cp311-cp311-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for pygptj-1.0.7-cp311-cp311-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 05cad0321fa3111c17cb157f7bc54159677f5ec9f8be7d3a4d987927db4e46a8
MD5 933a90ac9b938d3728e10dcd80f01c40
BLAKE2b-256 1ce957094649bf928e94d11335bba5b214ebd0762564692b07cb475a4a77a60d

See more details on using hashes here.

File details

Details for the file pygptj-1.0.7-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: pygptj-1.0.7-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 166.0 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.3

File hashes

Hashes for pygptj-1.0.7-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 efd1375cca87ba0f64d8b376d33ef3e11445e5bc91f73a2eb47da330390d2e84
MD5 169d26ebae61dba6a5bfed6f5f7422e8
BLAKE2b-256 5ab54eeb583be7244be04e7d227fa5281a9cacc92e1b65a17e0bebe60df66808

See more details on using hashes here.

File details

Details for the file pygptj-1.0.7-cp310-cp310-win32.whl.

File metadata

  • Download URL: pygptj-1.0.7-cp310-cp310-win32.whl
  • Upload date:
  • Size: 137.6 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.3

File hashes

Hashes for pygptj-1.0.7-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 89db7a5811beb5b033fc86f8581e733f527ff0ce02eaf6ce8dfe2656865198ca
MD5 75333dfc60165ae6f418021e864a0b51
BLAKE2b-256 d0d4101c4134f55f9078e9609956ff8087b13f5c2130d80bef4ec0e63107c6fd

See more details on using hashes here.

File details

Details for the file pygptj-1.0.7-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pygptj-1.0.7-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 e355604fd06d39820da73c077f30effd25f8a0c86d00c7b7c183d39c7f379112
MD5 fef54e2d61a9ca9967b5ca3b3df2c0e7
BLAKE2b-256 871025bab62d6844e16845c8601a3dbfdb09fd89d31d666e8d592398256d556a

See more details on using hashes here.

File details

Details for the file pygptj-1.0.7-cp310-cp310-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for pygptj-1.0.7-cp310-cp310-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 d244a969290fbe0eb7bddb168c128cc2707f640bac04941b05502e9a76224700
MD5 4775b09744e586e8a3a2163fc16a706b
BLAKE2b-256 5790a2d9b71f68f7a10d31a4609066cfa0b872f1c93ae2fc4a229f1b5b10c467

See more details on using hashes here.

File details

Details for the file pygptj-1.0.7-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pygptj-1.0.7-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a6478b18be3e7f59b7c9361a7e784802eccf7884cd84c3086fb1c0fab092c088
MD5 6e448e4f8d448e4fa137b07495373f36
BLAKE2b-256 ee81c5e87d0f97124eb69e0241d438b007db5bba9f6fcf1d4928e1efefc7e39f

See more details on using hashes here.

File details

Details for the file pygptj-1.0.7-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pygptj-1.0.7-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 96c22eded9b64f6bd61bf2f60f234e0faff12b9ce67e064ba15187570d39fd16
MD5 c36eee90c9bb3a3a8fb027ea78c291b9
BLAKE2b-256 ce36fcecaf3681e8f56eb906eaa01bf5bf39d9c63a5c470f2c4b40fc690a4fab

See more details on using hashes here.

File details

Details for the file pygptj-1.0.7-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pygptj-1.0.7-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 b75b1afe3e685c24d4d8ec187550cff420cbf92c28f1db1b3a53c0a9062898b2
MD5 82f4912eda0b4f38a5b764ca0e9a3aa4
BLAKE2b-256 b71bcbb66e3eef664629f8269d6f233e87d643a5dc3901248255a1e1d354edce

See more details on using hashes here.

File details

Details for the file pygptj-1.0.7-cp310-cp310-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for pygptj-1.0.7-cp310-cp310-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 f43c2120faa78ba32d95104c61feefcdb48db687ab4faf27b460c5bd781ebb35
MD5 93a62a22fc018262a898c303af2db717
BLAKE2b-256 1c46c39ab079101488a0a7f15364ff82eb1948cbcace6fc0b7aeed3389921fc4

See more details on using hashes here.

File details

Details for the file pygptj-1.0.7-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: pygptj-1.0.7-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 166.1 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.3

File hashes

Hashes for pygptj-1.0.7-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 0c78ceb0a9172c91ffd5dd8b6ba54099e4e90c8dadeb98adf90e47a18e2ff1d9
MD5 98b82f08a99d9e8b3f822c3f5a7180fd
BLAKE2b-256 9facedae2bb0c61f8d20de24e3bb0a4ba4cbb3f363d10542727c7a83684efbd3

See more details on using hashes here.

File details

Details for the file pygptj-1.0.7-cp39-cp39-win32.whl.

File metadata

  • Download URL: pygptj-1.0.7-cp39-cp39-win32.whl
  • Upload date:
  • Size: 137.7 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.3

File hashes

Hashes for pygptj-1.0.7-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 afbfe72b11a4f1e942bf4f7cdb6072fcc2128d98d67527ba4c310d6c82b5295a
MD5 92e544c2f9d46ac643984602ee926e12
BLAKE2b-256 5f5d3a2e8a0faf84422ec541b05d53e2cd565b1f3cb7cc3e77050f66211b5739

See more details on using hashes here.

File details

Details for the file pygptj-1.0.7-cp39-cp39-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pygptj-1.0.7-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 5c2c809e7263aac8d9df56ab9b35ea1588dfea1c434a89eff47465c42c737265
MD5 8eddb62d354c74fd3d8a9536a50cdff3
BLAKE2b-256 a278a12a5391c8b387fed05de672af1d5dbc135f2b4d69e9cb1d6eacb10e97a1

See more details on using hashes here.

File details

Details for the file pygptj-1.0.7-cp39-cp39-musllinux_1_1_i686.whl.

File metadata

  • Download URL: pygptj-1.0.7-cp39-cp39-musllinux_1_1_i686.whl
  • Upload date:
  • Size: 828.3 kB
  • Tags: CPython 3.9, musllinux: musl 1.1+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.3

File hashes

Hashes for pygptj-1.0.7-cp39-cp39-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 b3084d772ac62c8f49aefa31cf97e1877a7cd562d8926299071d295843a5ff4a
MD5 8aeb3458449808812a6da4127bdabe4a
BLAKE2b-256 3ae0d2f301c5c9e7f843b5f37cc6836d7e183116f18ede677fcf46d02743ac07

See more details on using hashes here.

File details

Details for the file pygptj-1.0.7-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pygptj-1.0.7-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f11c092ed5fb49267ac8cc84e3664a5f903f34a95a7a8f21e35288326df9dd92
MD5 ddb795f6068135200d136fa878bb13d8
BLAKE2b-256 aae5046b9c0fe04529ab83386243447a959eac7374e2fc9e752ca6f6d80431cb

See more details on using hashes here.

File details

Details for the file pygptj-1.0.7-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pygptj-1.0.7-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 c643cfbb601cfb52deeaf6f712b6918a0164ba5ae88416d7116af66327149a4a
MD5 551c846ffced5f69c0ddcd4eeccd2894
BLAKE2b-256 5b683b1392b2791a332e01867feffa9f705eb8d904aba747566b696b45b2bd01

See more details on using hashes here.

File details

Details for the file pygptj-1.0.7-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pygptj-1.0.7-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 ce2d7e3037b252b97ef0cf4f18958f01c7f9211294c417c5b44acb3c1a9d87ca
MD5 7dcf618c13a735f5dbc60d3c80b02213
BLAKE2b-256 03010a2f572e280cfd6f7d51e7992ac5b6db1a85d7f5dbf3454ce7179bc22f24

See more details on using hashes here.

File details

Details for the file pygptj-1.0.7-cp39-cp39-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for pygptj-1.0.7-cp39-cp39-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 89ef0f083dcdc80c91719e02d2a5d85507c9b0f7e94d1163eabcba5ab1b629ee
MD5 ddc6ed36cc21a7413c5d5c47d3306085
BLAKE2b-256 5cf7704e5886733feaf93ef53e29caac0a4acc6a967df620c34cb8f3e676504a

See more details on using hashes here.

File details

Details for the file pygptj-1.0.7-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: pygptj-1.0.7-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 165.9 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.3

File hashes

Hashes for pygptj-1.0.7-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 a1ad151607261b614ddf248b336edd6ad4d7b5118ed412b0af8d9fd734131596
MD5 1d451396c437380a176439168b2623d3
BLAKE2b-256 27905dd9782573b288db5f7c9237f6610eab177606f6501f4f326add0d1581ae

See more details on using hashes here.

File details

Details for the file pygptj-1.0.7-cp38-cp38-win32.whl.

File metadata

  • Download URL: pygptj-1.0.7-cp38-cp38-win32.whl
  • Upload date:
  • Size: 137.7 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.3

File hashes

Hashes for pygptj-1.0.7-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 6f447c178543d81eef042257ddc24f4928319ceafe86469be5f08af2194ff23e
MD5 2b2a08b8aa442f9ee9a8f6b1db422df1
BLAKE2b-256 f27920d71f71d7add2f08e5d490fa644d7771cef1870ec49e23317a2d60dd953

See more details on using hashes here.

File details

Details for the file pygptj-1.0.7-cp38-cp38-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pygptj-1.0.7-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 ad3aa47a5a196f11c4ede34748570312a82ebf27b6018e00f59e25b401702795
MD5 e2a11d11ec507385fae71ef99ec65c24
BLAKE2b-256 28d6ea522cfb22c8885b7fc906accc22f304781aedfcec3c75c97caefea5bfb1

See more details on using hashes here.

File details

Details for the file pygptj-1.0.7-cp38-cp38-musllinux_1_1_i686.whl.

File metadata

  • Download URL: pygptj-1.0.7-cp38-cp38-musllinux_1_1_i686.whl
  • Upload date:
  • Size: 827.3 kB
  • Tags: CPython 3.8, musllinux: musl 1.1+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.3

File hashes

Hashes for pygptj-1.0.7-cp38-cp38-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 f481c2297d82984964fb282b07b928cd6ea23514f80912e8ea0b8c9cbfdb7eba
MD5 ced99d8bf274462258fa13d1884379a0
BLAKE2b-256 f9ab8bdb2606131c0873ce4e9f7b60aeb17beaac1b568d48449a585ee306861e

See more details on using hashes here.

File details

Details for the file pygptj-1.0.7-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pygptj-1.0.7-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f2923954460282900050bf7f65c5dbc0f1fcda84ef1ce2667eaf0b4499e07515
MD5 bf6f592ba67dafc6b82c5517b8ce895e
BLAKE2b-256 6a5f0d5444a1616d56a564c49c9679da093cf1790e498797b2022d6bf872528c

See more details on using hashes here.

File details

Details for the file pygptj-1.0.7-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pygptj-1.0.7-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 f885b4800de49c5f3c490af13aacc889667cfd59b459e8181f9a1125febab039
MD5 46d478ea902d4f74755e93526a38057d
BLAKE2b-256 92a41db046e0adbdb8f76504e1152de5f94b73dbbe8459f5228a8e9a6e73757c

See more details on using hashes here.

File details

Details for the file pygptj-1.0.7-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pygptj-1.0.7-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 a276b9f3c9d32233e1ca82e65b117eaed60945d766f4f12ba3aabd42fc2a6814
MD5 41dfcab723a1f5e022d1c66145a238df
BLAKE2b-256 d30da2ed4147c203009dd221f6026ca540f6a6f1be647d3e66eeda7547a159ed

See more details on using hashes here.

File details

Details for the file pygptj-1.0.7-cp38-cp38-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for pygptj-1.0.7-cp38-cp38-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 4274207fb68c7f92e078dd1da41688170bddc66edede0eefe6bf9f5da24d9457
MD5 ede43c8cb8178eb94c2806e7f17ee4a7
BLAKE2b-256 95c19540fd696e5bac547b33a4a8a849ef869a1a3756aa53f9d9b9bfefd10ac7

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page