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-0.0.2.26.tar.gz (47.3 kB view details)

Uploaded Source

Built Distribution

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

adjaxt-0.0.2.26-py3-none-any.whl (41.0 kB view details)

Uploaded Python 3

File details

Details for the file adjaxt-0.0.2.26.tar.gz.

File metadata

  • Download URL: adjaxt-0.0.2.26.tar.gz
  • Upload date:
  • Size: 47.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/7.0.0 CPython/3.14.4

File hashes

Hashes for adjaxt-0.0.2.26.tar.gz
Algorithm Hash digest
SHA256 b8152f682a18142c25368f4995cebcabef01f650d7226023b4c37978421f176f
MD5 002b8aa3cf7740cebd57810ccb0dd37e
BLAKE2b-256 f2571276e02981d21b96e129cf3743cb32aab5c9bdf9db6fa0a653c2d8b29418

See more details on using hashes here.

File details

Details for the file adjaxt-0.0.2.26-py3-none-any.whl.

File metadata

  • Download URL: adjaxt-0.0.2.26-py3-none-any.whl
  • Upload date:
  • Size: 41.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/7.0.0 CPython/3.14.4

File hashes

Hashes for adjaxt-0.0.2.26-py3-none-any.whl
Algorithm Hash digest
SHA256 5be4241342c80476b86f81dd282974f209bd7064c26164e45254fe1c4f6c47d5
MD5 f1902cc1d1dbf8148da11fe606a8d83d
BLAKE2b-256 17a5696e46d229447b12ac282d330979ec6d1b51e0516054cad9b533bce61e22

See more details on using hashes here.

Release history Release notifications | RSS feed

0.0.2.27

2 files

This release

0.0.2.26 This release

2 files

0.0.2.25

2 files

0.0.2.24

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