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https://github.com/xorbitsai/inference
Replace OpenAI GPT with another LLM in your app by changing a single line of code. Xinference gives you the freedom to use any LLM you need. With Xinference, you're empowered to run inference with any open-source language models, speech recognition models, and multimodal models, whether in the cloud, on-premises, or even on your laptop.
https://github.com/xorbitsai/inference
artificial-intelligence chatglm deployment flan-t5 gemma ggml glm4 inference llama llama3 llamacpp llm machine-learning mistral openai-api pytorch qwen vllm whisper wizardlm
Last synced: about 1 month ago
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Replace OpenAI GPT with another LLM in your app by changing a single line of code. Xinference gives you the freedom to use any LLM you need. With Xinference, you're empowered to run inference with any open-source language models, speech recognition models, and multimodal models, whether in the cloud, on-premises, or even on your laptop.
- Host: GitHub
- URL: https://github.com/xorbitsai/inference
- Owner: xorbitsai
- License: apache-2.0
- Created: 2023-06-14T07:05:04.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-07-29T09:06:12.000Z (about 1 month ago)
- Last Synced: 2024-07-30T02:08:57.694Z (about 1 month ago)
- Topics: artificial-intelligence, chatglm, deployment, flan-t5, gemma, ggml, glm4, inference, llama, llama3, llamacpp, llm, machine-learning, mistral, openai-api, pytorch, qwen, vllm, whisper, wizardlm
- Language: Python
- Homepage: https://inference.readthedocs.io
- Size: 21.3 MB
- Stars: 3,918
- Watchers: 39
- Forks: 324
- Open Issues: 449
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Xorbits Inference: Model Serving Made Easy π€
[](https://pypi.org/project/xinference/)
[](https://github.com/xorbitsai/inference/blob/main/LICENSE)
[](https://actions-badge.atrox.dev/xorbitsai/inference/goto?ref=main)
[](https://join.slack.com/t/xorbitsio/shared_invite/zt-1o3z9ucdh-RbfhbPVpx7prOVdM1CAuxg)
[](https://twitter.com/xorbitsio)
English | [δΈζδ»η»](README_zh_CN.md) | [ζ₯ζ¬θͺ](README_ja_JP.md)
Xorbits Inference(Xinference) is a powerful and versatile library designed to serve language,
speech recognition, and multimodal models. With Xorbits Inference, you can effortlessly deploy
and serve your or state-of-the-art built-in models using just a single command. Whether you are a
researcher, developer, or data scientist, Xorbits Inference empowers you to unleash the full
potential of cutting-edge AI models.
## π₯ Hot Topics
### Framework Enhancements
- Support Continuous batching for Transformers engine: [#1724](https://github.com/xorbitsai/inference/pull/1724)
- Support MLX backend for Apple Silicon chips: [#1765](https://github.com/xorbitsai/inference/pull/1765)
- Support specifying worker and GPU indexes for launching models: [#1195](https://github.com/xorbitsai/inference/pull/1195)
- Support SGLang backend: [#1161](https://github.com/xorbitsai/inference/pull/1161)
- Support LoRA for LLM and image models: [#1080](https://github.com/xorbitsai/inference/pull/1080)
- Support speech recognition model: [#929](https://github.com/xorbitsai/inference/pull/929)
- Metrics support: [#906](https://github.com/xorbitsai/inference/pull/906)
### New Models
- Built-in support for [Mistral Large 2](https://mistral.ai/news/mistral-large-2407/): [#1944](https://github.com/xorbitsai/inference/pull/1944)
- Built-in support for [llama3.1](https://ai.meta.com/blog/meta-llama-3-1/): [#1932](https://github.com/xorbitsai/inference/pull/1932)
- Built-in support for [Mistral Nemo](https://mistral.ai/news/mistral-nemo/): [#1936](https://github.com/xorbitsai/inference/pull/1936)
- Built-in support for [CosyVoice](https://github.com/FunAudioLLM/CosyVoice): [#1881](https://github.com/xorbitsai/inference/pull/1881)
- Built-in support for [codegeex4](https://github.com/THUDM/CodeGeeX4): [#1888](https://github.com/xorbitsai/inference/pull/1888)
- Built-in support for [Gemma-2-it](https://huggingface.co/blog/gemma2): [#1774](https://github.com/xorbitsai/inference/pull/1774)
- Built-in support for [jina-reranker-v2](https://huggingface.co/jinaai/jina-reranker-v2-base-multilingual): [#1733](https://github.com/xorbitsai/inference/pull/1733)
- Built-in support for [Qwen2](https://github.com/QwenLM/Qwen2): [#1509](https://github.com/xorbitsai/inference/pull/1597)
### Integrations
- [Dify](https://docs.dify.ai/advanced/model-configuration/xinference): an LLMOps platform that enables developers (and even non-developers) to quickly build useful applications based on large language models, ensuring they are visual, operable, and improvable.
- [FastGPT](https://github.com/labring/FastGPT): a knowledge-based platform built on the LLM, offers out-of-the-box data processing and model invocation capabilities, allows for workflow orchestration through Flow visualization.
- [Chatbox](https://chatboxai.app/): a desktop client for multiple cutting-edge LLM models, available on Windows, Mac and Linux.
- [RAGFlow](https://github.com/infiniflow/ragflow): is an open-source RAG engine based on deep document understanding.
## Key Features
π **Model Serving Made Easy**: Simplify the process of serving large language, speech
recognition, and multimodal models. You can set up and deploy your models
for experimentation and production with a single command.
β‘οΈ **State-of-the-Art Models**: Experiment with cutting-edge built-in models using a single
command. Inference provides access to state-of-the-art open-source models!
π₯ **Heterogeneous Hardware Utilization**: Make the most of your hardware resources with
[ggml](https://github.com/ggerganov/ggml). Xorbits Inference intelligently utilizes heterogeneous
hardware, including GPUs and CPUs, to accelerate your model inference tasks.
βοΈ **Flexible API and Interfaces**: Offer multiple interfaces for interacting
with your models, supporting OpenAI compatible RESTful API (including Function Calling API), RPC, CLI
and WebUI for seamless model management and interaction.
π **Distributed Deployment**: Excel in distributed deployment scenarios,
allowing the seamless distribution of model inference across multiple devices or machines.
π **Built-in Integration with Third-Party Libraries**: Xorbits Inference seamlessly integrates
with popular third-party libraries including [LangChain](https://python.langchain.com/docs/integrations/providers/xinference), [LlamaIndex](https://gpt-index.readthedocs.io/en/stable/examples/llm/XinferenceLocalDeployment.html#i-run-pip-install-xinference-all-in-a-terminal-window), [Dify](https://docs.dify.ai/advanced/model-configuration/xinference), and [Chatbox](https://chatboxai.app/).
## Why Xinference
| Feature | Xinference | FastChat | OpenLLM | RayLLM |
|------------------------------------------------|------------|----------|---------|--------|
| OpenAI-Compatible RESTful API | β
| β
| β
| β
|
| vLLM Integrations | β
| β
| β
| β
|
| More Inference Engines (GGML, TensorRT) | β
| β | β
| β
|
| More Platforms (CPU, Metal) | β
| β
| β | β |
| Multi-node Cluster Deployment | β
| β | β | β
|
| Image Models (Text-to-Image) | β
| β
| β | β |
| Text Embedding Models | β
| β | β | β |
| Multimodal Models | β
| β | β | β |
| Audio Models | β
| β | β | β |
| More OpenAI Functionalities (Function Calling) | β
| β | β | β |
## Getting Started
**Please give us a star before you begin, and you'll receive instant notifications for every new release on GitHub!**
* [Docs](https://inference.readthedocs.io/en/latest/index.html)
* [Built-in Models](https://inference.readthedocs.io/en/latest/models/builtin/index.html)
* [Custom Models](https://inference.readthedocs.io/en/latest/models/custom.html)
* [Deployment Docs](https://inference.readthedocs.io/en/latest/getting_started/using_xinference.html)
* [Examples and Tutorials](https://inference.readthedocs.io/en/latest/examples/index.html)
### Jupyter Notebook
The lightest way to experience Xinference is to try our [Juypter Notebook on Google Colab](https://colab.research.google.com/github/xorbitsai/inference/blob/main/examples/Xinference_Quick_Start.ipynb).
### Docker
Nvidia GPU users can start Xinference server using [Xinference Docker Image](https://inference.readthedocs.io/en/latest/getting_started/using_docker_image.html). Prior to executing the installation command, ensure that both [Docker](https://docs.docker.com/get-docker/) and [CUDA](https://developer.nvidia.com/cuda-downloads) are set up on your system.
```bash
docker run --name xinference -d -p 9997:9997 -e XINFERENCE_HOME=/data -v :/data --gpus all xprobe/xinference:latest xinference-local -H 0.0.0.0
```
### Quick Start
Install Xinference by using pip as follows. (For more options, see [Installation page](https://inference.readthedocs.io/en/latest/getting_started/installation.html).)
```bash
pip install "xinference[all]"
```
To start a local instance of Xinference, run the following command:
```bash
$ xinference-local
```
Once Xinference is running, there are multiple ways you can try it: via the web UI, via cURL,
via the command line, or via the Xinferenceβs python client. Check out our [docs]( https://inference.readthedocs.io/en/latest/getting_started/using_xinference.html#run-xinference-locally) for the guide.
## Getting involved
| Platform | Purpose |
|-----------------------------------------------------------------------------------------------|----------------------------------------------------|
| [Github Issues](https://github.com/xorbitsai/inference/issues) | Reporting bugs and filing feature requests. |
| [Slack](https://join.slack.com/t/xorbitsio/shared_invite/zt-1o3z9ucdh-RbfhbPVpx7prOVdM1CAuxg) | Collaborating with other Xorbits users. |
| [Twitter](https://twitter.com/xorbitsio) | Staying up-to-date on new features. |
## Contributors
