Files
OpenLLM/openllm-core
yansheng 3cb7f14fc1 feat(models): Support qwen (#742)
* support qwen

* support qwen

* ci: auto fixes from pre-commit.ci

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

* Update openllm-core/src/openllm_core/config/configuration_qwen.py

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

* chore: update correct readme and supports qwen models

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

---------

Signed-off-by: Aaron Pham <29749331+aarnphm@users.noreply.github.com>
Co-authored-by: root <yansheng105@gmail.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Aaron Pham <29749331+aarnphm@users.noreply.github.com>
2023-11-30 06:54:17 -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

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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}
}