Skip to main content

Large Language Model DevOps - a package to help deploy LLMs to the Cloud.

Project description

Introduction

This is the Sunholo Python project, a comprehensive toolkit for working with language models and vector stores on Google Cloud Platform. It provides a wide range of functionalities and utilities to facilitate the development and deployment of language model applications.

Please refer to the website for full documentation at https://dev.sunholo.com/

Listen to the audio file:

A NotebookLM generated podcast of the codebase that may help give you an overview of what the library is capable of:

Listen to the audio file from Google Drive or on the website at https://dev.sunholo.com/docs/

"Ever wish you could build your own AI?..."

Tests via pytest

If loading from GitHub, run tests:

pip install pytest
pip install . --use-feature=in-tree-build
pytest tests

Demos

Using https://github.com/charmbracelet/vhs

vhs record > cassette.tape

Then make gif:

vhs docs/tapes/config-list.tape
   Copyright [2024] [Holosun ApS]

   Licensed under the Apache License, Version 2.0 (the "License");
   you may not use this file except in compliance with the License.
   You may obtain a copy of the License at

       http://www.apache.org/licenses/LICENSE-2.0

   Unless required by applicable law or agreed to in writing, software
   distributed under the License is distributed on an "AS IS" BASIS,
   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
   See the License for the specific language governing permissions and
   limitations under the License.

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

sunholo-0.107.0.tar.gz (181.6 kB view details)

Uploaded Source

Built Distribution

sunholo-0.107.0-py3-none-any.whl (235.0 kB view details)

Uploaded Python 3

File details

Details for the file sunholo-0.107.0.tar.gz.

File metadata

  • Download URL: sunholo-0.107.0.tar.gz
  • Upload date:
  • Size: 181.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.20

File hashes

Hashes for sunholo-0.107.0.tar.gz
Algorithm Hash digest
SHA256 17b4fef32cf6678cf2a67935cca090878624303a1f1a1a353c6aa5b42a461d8a
MD5 7fb85856f0da67d61367da734705d08c
BLAKE2b-256 5fc067de9ede08bd59bd781adaf19f57ebb3e915a6f8637ff6ca5d71b1a81002

See more details on using hashes here.

File details

Details for the file sunholo-0.107.0-py3-none-any.whl.

File metadata

  • Download URL: sunholo-0.107.0-py3-none-any.whl
  • Upload date:
  • Size: 235.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.20

File hashes

Hashes for sunholo-0.107.0-py3-none-any.whl
Algorithm Hash digest
SHA256 d42dfbdf24aa390032f430eb3a4fad05b1ea128e4ffb55c8dc0668f6f9090184
MD5 2536e4b2fc71f7fa810e8136d8182c05
BLAKE2b-256 380055aaa522a52beb28f7e0a3fbf643f744fd8c7cf18b462eb2cd492ad95134

See more details on using hashes here.

Supported by

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