Hi, this package is in development, not ready yet.

It is being tested and most stuff already works.

Needs more layers and archictectures.

Here is how it works:

flowchart LR
    A[You] -->|Want convenience| B(Pytorch)
    B -->|Works slowly because adds python overhead| C[CUDA]

    D[Me] --> |Want to do math| E(Rewrite popular hf models in JAX)
    E --> |Models convert to pytorch through a simple parser and prebuilt layers| F[huggingface]

JAX is fast (because of XLA compilation), works on CUDA and TPU. This repo implements DiLoCo to use any number of heterogenous compute (kaggle, molab, colab, lightning) without direct connection (only huggingface chekpointing).

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (0.0.2.27)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for Berrny from gravatar.com Berrny

License expression

MIT
View SPDX License List

Requires

Python >=3.11

Provides Extra

cuda cuda12 cuda13 test

Report project as malware

Download files

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

Source Distribution

adjaxt-0.0.2.24.tar.gz (41.8 kB view details)

Uploaded Source

Built Distribution

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

adjaxt-0.0.2.24-py3-none-any.whl (34.5 kB view details)

Uploaded Python 3

File details

Details for the file adjaxt-0.0.2.24.tar.gz.

File metadata

  • Download URL: adjaxt-0.0.2.24.tar.gz
  • Upload date:
  • Size: 41.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/7.0.0 CPython/3.14.4

File hashes

Hashes for adjaxt-0.0.2.24.tar.gz
Algorithm Hash digest
SHA256 6a11144f4257f25ada849fa8792155746a24d993b39fb888154b9e65269cf70d
MD5 8c011f5fffb6ad82c9dcb1514c00b36f
BLAKE2b-256 e8a02a256de1facd127eb635af7cc500a63f861b07059a50850e78db6eafa831

See more details on using hashes here.

File details

Details for the file adjaxt-0.0.2.24-py3-none-any.whl.

File metadata

  • Download URL: adjaxt-0.0.2.24-py3-none-any.whl
  • Upload date:
  • Size: 34.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/7.0.0 CPython/3.14.4

File hashes

Hashes for adjaxt-0.0.2.24-py3-none-any.whl
Algorithm Hash digest
SHA256 00adb4392979fb348b93a05cdc555be1b852cb37a0b64e5a106213c3c20dde05
MD5 9cfaef7214f2e6ebe360324c69ae9e7c
BLAKE2b-256 d7cbb3f0217ce58f5faad6c8e8ef80d57266c007257db794c4fd22149ffd0146

See more details on using hashes here.

Release history Release notifications | RSS feed

0.0.2.27

2 files

0.0.2.26

2 files

0.0.2.25

2 files

This release

0.0.2.24 This release

2 files

0.0.2.23

2 files

0.0.2.22

2 files

0.0.2.21

2 files

0.0.2.20

2 files

0.0.2.19

2 files

0.0.2.18

2 files

0.0.2.17

2 files

0.0.2.16

2 files

0.0.2.15

2 files

0.0.2.14

2 files

0.0.2.13

2 files

0.0.2.12

2 files

0.0.2.11

2 files

0.0.2.10

2 files

0.0.2.9

2 files

0.0.2.8

2 files

0.0.2.7

2 files

0.0.2.6

2 files

0.0.2.5

2 files

0.0.2.4

2 files

0.0.2.3

2 files

0.0.2.2

2 files

0.0.2.1

2 files

0.0.2.0

2 files

0.0.1.5

2 files

0.0.1.4

2 files

0.0.1.3

2 files

0.0.1.2

2 files

0.0.1.1

2 files

0.0.1

2 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