Alternatives to OpenLLM

A command-line tool that serves open-source LLMs as OpenAI-compatible APIs on your own hardware. The listings below can replace it for an important use case. Each note says what changes if you switch.

Replacements

Listings that take over the same core job as OpenLLM.

  • vLLM

    High-throughput, memory-efficient inference and serving engine for LLMs.

    FreeOpen sourceLinuxCommand line

    vLLM provides high-throughput, memory-efficient serving for production on Linux GPUs under Apache-2.0, without OpenLLM's one-command model catalogue or built-in chat UI.

  • Ollama

    The simplest way to pull down an open language model and run it on your own machine, from one command or a desktop app.

    FreemiumOpen sourceWindowsmacOSLinuxCommand line

    Ollama downloads and runs models with one command or a desktop app on Windows, macOS and Linux, exposing a localhost REST API, under the MIT license.

  • LocalAI

    Serve language, image and speech models on your own hardware.

    FreeOpen sourceLinuxmacOSSelf-hosted

    LocalAI serves language, image and speech models behind APIs for several common AI services, while you supply the model files yourself, under the MIT license.

  • Xinference

    An open-source inference server for running language, speech and multimodal models through one API.

    FreeOpen sourcemacOSLinuxSelf-hostedCommand line

    Xinference serves language, speech and multimodal models behind one GPT-style API and runs from a laptop up to servers, broadening beyond language models.

  • SGLang

    A serving framework for running large language models and multimodal models on your own GPUs.

    FreeOpen sourceSelf-hostedCommand line

    SGLang is a high-throughput serving framework for language and multimodal models on your own GPU servers, with Docker files and benchmark tooling included.

  • llama.cpp

    The C++ engine most local AI apps are built on, running language models on ordinary hardware.

    FreeOpen sourceWindowsmacOSLinuxAndroidCommand line

    llama.cpp runs quantised models from one dependency-free binary on ordinary hardware with a built-in server and web interface, rather than needing large GPUs.

  • mistral.rs

    A Rust inference engine for running text, vision and multimodal models locally with an OpenAI-compatible server.

    FreeOpen sourceSelf-hostedCommand line

    mistral.rs is a Rust engine with an OpenAI and Anthropic compatible server, GGUF loading and multimodal input, under the MIT license.

  • Sonar

    A self-hosted LLM inference server, formerly Aphrodite Engine, that serves Hugging Face models through OpenAI-compatible APIs.

    FreeOpen sourcemacOSLinuxSelf-hostedCommand line

    Sonar serves Hugging Face models through OpenAI-compatible APIs with continuous batching for many users across NVIDIA, AMD, Intel and Apple hardware, under the AGPL-3.0 license.

Also worth comparing

These listings name OpenLLM as their own alternative, so the relationship runs both ways.

  • GPUStack

    An open-source GPU cluster manager for serving AI models with vLLM and SGLang on your own hardware.

    FreeOpen sourceSelf-hosted

    OpenLLM starts an OpenAI-compatible server for open models with one command and includes a chat UI, with paths to Docker and Kubernetes rather than built-in GPU pooling.

  • RamaLama

    Command-line tool that pulls AI models from any source and serves them locally in containers.

    FreeOpen sourcemacOSLinuxCommand line

    OpenLLM is an Apache-2.0 command-line tool that starts an OpenAI-compatible server in one command with a built-in chat UI, though many models require large GPUs.

  • TabbyAPI

    A lightweight, OpenAI-compatible API server for running ExLlama-format language models on your own hardware.

    FreeOpen sourceWindowsLinuxSelf-hostedCommand line

    OpenLLM starts an OpenAI-compatible server with one command, includes a built-in chat UI that TabbyAPI lacks, and offers a wide catalogue of open models.

Similar software

Related functionality, not a direct replacement.