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[](https://github.com/go-skynet/LocalAI/actions/workflows/test.yml)[](https://github.com/go-skynet/LocalAI/actions/workflows/release.yaml)[](https://github.com/go-skynet/LocalAI/actions/workflows/image.yml)[](https://github.com/go-skynet/LocalAI/actions/workflows/bump_deps.yaml)[](https://artifacthub.io/packages/search?repo=localai)
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**LocalAI** is the free, Open Source OpenAI alternative. LocalAI act as a drop-in replacement REST API that's compatible with OpenAI (Elevenlabs, Anthropic... ) API specifications for local AI inferencing. It allows you to run LLMs, generate images, audio (and not only) locally or on-prem with consumer grade hardware, supporting multiple model families. Does not require GPU. It is created and maintained by [Ettore Di Giacinto](https://github.com/mudler).
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# LocalAI Examples
-LocalAI examples were moved to a dedicated repository: https://github.com/mudler/LocalAI-examples
+The examples for LocalAI have moved to a dedicated repository for easier discovery and maintenance.
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+## **[Browse Examples](https://github.com/mudler/LocalAI-examples)**
+
+The examples repository contains ready-to-run configurations and tutorials covering:
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+- **Chat & Text Generation** - LLM conversations, function calling, constrained grammars
+- **Image Generation** - Stable Diffusion, diffusers, image-to-image
+- **Audio** - Text-to-speech, speech-to-text, voice cloning
+- **Embeddings & RAG** - Vector databases, retrieval-augmented generation
+- **Integrations** - Langchain, Discord bots, Slack bots, Telegram bots
+- **Advanced** - P2P inferencing, Kubernetes deployments, API usage
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+Each example includes configuration files and step-by-step instructions to get started quickly.
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+### Quick Links
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+- **Examples Repository**: https://github.com/mudler/LocalAI-examples
+- **Documentation**: https://localai.io/
+- **Model Gallery**: https://models.localai.io/
+- **Getting Started**: https://localai.io/basics/getting_started/