openllm-core 0.5.7
OpenLLM Core: Core components for OpenLLM.
Requires Python: >=3.8
Keywords: AI, Alpaca, BentoML, Falcon, Fine tuning, Generative AI, LLMOps, Large Language Model, Llama 2, MLOps, Model Deployment, Model Serving, PyTorch, Serverless, StableLM, Transformers, Vicuna

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<div align="center">
    <h1 align="center">🦑 OpenLLM Core</h1>
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    <p>OpenLLM Core: Core components for OpenLLM.<br/></p>
    <i></i>
</div>

## 📖 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 <a href="https://github.com/bentoml/OpenLLM">OpenLLM's README.md</a>

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.

<p align="center">
  <img src="https://raw.githubusercontent.com/bentoml/openllm/main/.github/assets/output.gif" alt="Gif showing OpenLLM Intro" />
</p>

<p align="center">
  <img src="https://raw.githubusercontent.com/bentoml/openllm/main/.github/assets/agent.gif" alt="Gif showing Agent integration" />
</p>

## 📔 Citation

If you use OpenLLM in your research, we provide a [citation](../CITATION.cff) to use:

```bibtex
@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}
}
```

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[Click me for full changelog](https://github.com/bentoml/openllm/blob/main/CHANGELOG.md)