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-0.0.2.20.tar.gz (41.3 kB view details)

Uploaded Source

Built Distribution

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

adjaxt-0.0.2.20-py3-none-any.whl (34.0 kB view details)

Uploaded Python 3

File details

Details for the file adjaxt-0.0.2.20.tar.gz.

File metadata

  • Download URL: adjaxt-0.0.2.20.tar.gz
  • Upload date:
  • Size: 41.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/7.0.0 CPython/3.14.4

File hashes

Hashes for adjaxt-0.0.2.20.tar.gz
Algorithm Hash digest
SHA256 4adbdaa884ec856d3c0f9c439e9f475089ae1a2a5a9d8bbd12c68a82d86a35b4
MD5 09d0420e04a921db1a3cb456c717e78c
BLAKE2b-256 9cbd831f4209ed8c8d4b4da1daf936b33a63549d66c4b76952589d373953b255

See more details on using hashes here.

File details

Details for the file adjaxt-0.0.2.20-py3-none-any.whl.

File metadata

  • Download URL: adjaxt-0.0.2.20-py3-none-any.whl
  • Upload date:
  • Size: 34.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/7.0.0 CPython/3.14.4

File hashes

Hashes for adjaxt-0.0.2.20-py3-none-any.whl
Algorithm Hash digest
SHA256 0716a8c46c57da385aad0911797d531ee2d05ae00f1ca4647ebc07aa510903dc
MD5 163bc823764eeccbbb04d0068a344673
BLAKE2b-256 7db87c6fe90514b4c860feefa7a1c2f485989aba83da40f6223b1d9d32c1eab2

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

0.0.2.24

2 files

0.0.2.23

2 files

0.0.2.22

2 files

0.0.2.21

2 files

This release

0.0.2.20 This release

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