42 lines
3.2 KiB
Markdown
42 lines
3.2 KiB
Markdown
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---
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# 👋 Getting Started
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Tabby is an open-source, self-hosted AI coding assistant. With Tabby, every team can set up its own LLM-powered code completion server with ease.
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[](https://join.slack.com/t/tabbycommunity/shared_invite/zt-1xeiddizp-bciR2RtFTaJ37RBxr8VxpA)
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[](https://www.linkedin.com/company/tabbyml/)
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[](https://github.com/TabbyML/tabby)
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## 📄 About the Docs
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| Section | Goal |
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| ------------------------------------------- | --------------------------------------------------------------------------- |
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| [🔧 Installation](./installation) | Everything deployment: Docker, Homebrew, Hugging Face Space and many others |
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| [💻 IDE / Editor Extensions](./extensions) | IDE/Editor extensions that can be seamlessly integrated with Tabby |
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| [🧑🔬 Models Directory](./models) | A curated list of models that we recommend using with Tabby |
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| [🏷️ API References](/api) | API Documentation |
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| [🏘️ Community](#%EF%B8%8F-community) | Everything about for developers and contributing |
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| [🗺️ Roadmap](./roadmap) | Our future plans |
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## 📏 Principles
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* **Open**: Tabby is free, open-source, and compatible with major Coding LLMs (CodeLlama, StarCoder, CodeGen). In fact, you can use and combine your preferred models without implementing anything by yourself.
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* **End-to-End**: While most coding tools consider code completion merely as a thin wrapper atop Coding LLMs, in real-world scenarios, optimizations in IDE extensions can be just as crucial as the capabilities of Coding LLMs.
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Tabby optimizes the entire stack:
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+ <u>IDE extensions</u>: Tabby achieves accurate streaming and cancellation with an adaptive caching strategy to ensure rapid completion (in less than a second).
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+ <u>Model serving</u>: Tabby parses relevant code into Tree Sitter tags to provide effective prompts.
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* **User and Developer Experience**: The key to sustainable open-source solutions is to make it easier for everyone to contribute to projects.
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AI experts should feel comfortable understanding and improving the suggestion quality.
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EngOps team should find it easy to set up and feel in control of the data.
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Developers should have an "aha" moment during coding time.
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Tabby optimizes the experience for these core users to enhance your team's productivity.
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## 🏘️ Community
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⭐ Tabby [Github repo](https://github.com/TabbyML/tabby) to stay updated about new releases and tutorials.
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🙋 Join the Tabby community on [Slack](https://join.slack.com/t/tabbycommunity/shared_invite/zt-1xeiddizp-bciR2RtFTaJ37RBxr8VxpA) and get direct support from the community. |