Files
OpenLLM/openllm-core
Aaron Pham ff8b6377c8 fix(awq): correct awq detection for support (#586)
* fix(awq): correct detection for awq

Signed-off-by: Aaron Pham <29749331+aarnphm@users.noreply.github.com>

* chore: update base docker to work

Signed-off-by: Aaron Pham <29749331+aarnphm@users.noreply.github.com>

* chore: disable awq on pytorch for now

Signed-off-by: Aaron Pham <29749331+aarnphm@users.noreply.github.com>

* ci: auto fixes from pre-commit.ci

For more information, see https://pre-commit.ci

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Signed-off-by: Aaron Pham <29749331+aarnphm@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
2023-11-08 06:57:11 -05:00
..
2023-08-22 08:55:46 -04:00
2023-08-22 08:55:46 -04:00
2023-08-22 08:55:46 -04:00

Banner for OpenLLM

🦑 OpenLLM Core

pypi_status test_pypi_status Twitter Discord ci pre-commit.ci status
python_version Hatch code style Ruff types - mypy types - pyright

OpenLLM Core: Core components for OpenLLM.

📖 Introduction

With OpenLLM, you can run inference with any open-source large-language models, deploy to the cloud or on-premises, and build powerful AI apps, and more.

To learn more about OpenLLM, please visit OpenLLM's README.md

This package holds the core components of OpenLLM, and considered as internal.

Components includes:

  • Configuration generation.
  • Utilities for interacting with OpenLLM server.
  • Schema and generation utilities for OpenLLM server.

Gif showing OpenLLM Intro


📔 Citation

If you use OpenLLM in your research, we provide a citation to use:

@software{Pham_OpenLLM_Operating_LLMs_2023,
author = {Pham, Aaron and Yang, Chaoyu and Sheng, Sean and  Zhao, Shenyang and Lee, Sauyon and Jiang, Bo and Dong, Fog and Guan, Xipeng and Ming, Frost},
license = {Apache-2.0},
month = jun,
title = {{OpenLLM: Operating LLMs in production}},
url = {https://github.com/bentoml/OpenLLM},
year = {2023}
}