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Xinference

Run any LLM with one line of code — unified inference API

4.4/ 5⭐ 12,000 GitHub starsPythonApache-2.0

📋 Overview

Xinference is a unified inference framework that lets you run open-source, speech, and multimodal models through a single API — swap GPT for any LLM by changing one line of code. Unlike Ollama (which focuses on local LLMs) or vLLM (which requires complex setup), Xinference provides a production-ready server with model management, quantization, and multi-modal support out of the box. It supports LLMs (Llama, Qwen, Mistral), embeddings (BGE, E5), speech (Whisper, ChatTTS), image (Stable Diffusion), and video models — all through an OpenAI-compatible API.

✨ Key Features

•9K+ GitHub stars — unified inference framework
•One API for LLM, embedding, speech, image, video models
•OpenAI-compatible REST API
•Model management: download, quantize, serve
•Web UI for model management
•Multi-modal support: LLaVA, Qwen-VL
•Auto GPU/CPU detection with optimal settings

🎯 The Problem It Solves

Running different model types (LLM, embedding, speech, image) requires different tools and APIs. Xinference unifies them all behind a single OpenAI-compatible interface — one server, one API, any model type.

🔧 How It Works

Xinference provides a server that manages model lifecycle: download from HuggingFace, quantize (GPTQ, AWQ, GGUF), and serve via OpenAI-compatible REST API. Models are loaded on-demand and cached. The framework auto-detects GPU/CPU and selects optimal settings. A web UI provides model management, and the Python SDK offers programmatic control. Multi-modal models (LLaVA, Qwen-VL) work out of the box.

🚀 Installation & Quick Start

Installation

See website

Quick Start

See documentation

✅ Pros

•One server for all model types
•OpenAI-compatible API — drop-in replacement
•Model management built-in
•Multi-modal support
•Apache 2.0 licensed — completely free
•Active development

❌ Cons

•Smaller community than Ollama
•Web UI functional but not polished
•Very large models need significant hardware
•Documentation lags behind features
•Newer framework — occasional bugs

💬 Practitioner Verdict

“Xinference is the best unified inference framework — the model type breadth (LLM + embedding + speech + image + video) is unmatched, and the one-line API swap is genuinely useful. The trade-off: smaller community than Ollama, the web UI is functional but not polished, and very large models still need significant hardware. For teams that need one server for all model types, Xinference is the default.”