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-0.109.4.tar.gz (184.0 kB view details)

Uploaded Source

Built Distribution

sunholo-0.109.4-py3-none-any.whl (238.0 kB view details)

Uploaded Python 3

File details

Details for the file sunholo-0.109.4.tar.gz.

File metadata

  • Download URL: sunholo-0.109.4.tar.gz
  • Upload date:
  • Size: 184.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.20

File hashes

Hashes for sunholo-0.109.4.tar.gz
Algorithm Hash digest
SHA256 0be571a14336dca4f15e94a93fc2d3fa27eb560d0e922dbe34eabfa0c4ae4a19
MD5 5dc4830c8bc56ff6acb90caf95670807
BLAKE2b-256 2a763cd0b317266d45490a53f198e0030bc0630b7f9d612741dbe0dd18ce89dc

See more details on using hashes here.

File details

Details for the file sunholo-0.109.4-py3-none-any.whl.

File metadata

  • Download URL: sunholo-0.109.4-py3-none-any.whl
  • Upload date:
  • Size: 238.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.20

File hashes

Hashes for sunholo-0.109.4-py3-none-any.whl
Algorithm Hash digest
SHA256 47ca6212d38cb5ae8be8d2f83137c6382c15ffe7e1269a5079d16d6c5ced34c0
MD5 c60d5ab29970a1fddbcdad7e95991161
BLAKE2b-256 71c713e31850a365e5c6afe95d91cdc2d44ace5afed9a8683796f0cac7590824

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