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-0.109.3.tar.gz (184.0 kB view details)

Uploaded Source

Built Distribution

sunholo-0.109.3-py3-none-any.whl (238.0 kB view details)

Uploaded Python 3

File details

Details for the file sunholo-0.109.3.tar.gz.

File metadata

  • Download URL: sunholo-0.109.3.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-0.109.3.tar.gz
Algorithm Hash digest
SHA256 1e10b6219b7283801804554643922708885e09e45ac18d8dd477420d8e3f6b96
MD5 399cba23c61998720e2366d7ba335eec
BLAKE2b-256 a843df74e08694df25af9ca3408b07d9fe805d04fd15c4981d3eb8d358e8a00b

See more details on using hashes here.

File details

Details for the file sunholo-0.109.3-py3-none-any.whl.

File metadata

  • Download URL: sunholo-0.109.3-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-0.109.3-py3-none-any.whl
Algorithm Hash digest
SHA256 28e5fab44f83856d1ddd60aa34ec75f07a94e20093a572135cd3bc1c23147de2
MD5 26e102e9622643aa8da912695385d99a
BLAKE2b-256 1957152dddacfd62bed1976d13bc8a79a6c1cdf23ee12380dae23f15466c20a4

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