86 lines
3.5 KiB
Markdown
86 lines
3.5 KiB
Markdown
<p align="center">
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<a href="https://apps.umbrel.com/app/llama-gpt">
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<img width="150" height="150" src="https://i.imgur.com/LI59cui.png" alt="LlamaGPT" width="200" />
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</a>
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</p>
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<p align="center">
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<h1 align="center">LlamaGPT</h1>
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<p align="center">
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A self-hosted, offline, ChatGPT-like chatbot, powered by Llama 2. 100% private, with no data leaving your device.
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<br />
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<a href="https://umbrel.com"><strong>umbrel.com »</strong></a>
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<br />
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<br />
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<a href="https://twitter.com/umbrel">
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<img src="https://img.shields.io/twitter/follow/umbrel?style=social" />
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</a>
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<a href="https://t.me/getumbrel">
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<img src="https://img.shields.io/badge/community-chat-%235351FB">
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</a>
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<a href="https://reddit.com/r/getumbrel">
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<img src="https://img.shields.io/reddit/subreddit-subscribers/getumbrel?style=social">
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</a>
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<a href="https://community.umbrel.com">
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<img src="https://img.shields.io/badge/community-forum-%235351FB">
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</a>
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</p>
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</p>
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## Demo
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https://github.com/getumbrel/llama-gpt/assets/10330103/e35e1c1d-f6df-475b-9aa8-55a0b30cd65a
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## How to install
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### Install LlamaGPT on your umbrelOS home server
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Running LlamaGPT on an [umbrelOS](https://umbrel.com) home server is one click. Simply install it from the [Umbrel App Store](https://apps.umbrel.com/app/llama-gpt).
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<!-- Todo: update badge link after launch -->
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[](https://apps.umbrel.com/app/llama-gpt)
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### Install LlamaGPT anywhere else
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You can run LlamaGPT on any x86 or arm64 system. Make sure you have Docker installed.
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Then, clone this repo and `cd` into it:
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```
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git clone https://github.com/getumbrel/llama-gpt.git
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cd llama-gpt
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```
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You can now run LlamaGPT with any of the following models depending upon your hardware:
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| Model size | Model used | Minimum RAM required | How to start LlamaGPT |
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| ---------- | ----------------------------------- | -------------------- | ------------------------------------------------ |
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| 7B | Nous Hermes Llama 2 7B (GGML q4_0) | 8GB | `docker compose up -d` |
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| 13B | Nous Hermes Llama 2 13B (GGML q4_0) | 16GB | `docker compose -f docker-compose-13b.yml up -d` |
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| 70B | Meta Llama 2 70B Chat (GGML q4_0) | 48GB | `docker compose -f docker-compose-70b.yml up -d` |
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You can access LlamaGPT at `http://localhost:3000`.
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To stop LlamaGPT, run:
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```
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docker compose down
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```
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## Acknowledgements
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A massive thank you to the following developers and teams for making LlamaGPT possible:
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- [Mckay Wrigley](https://github.com/mckaywrigley) for building [Chatbot UI](https://github.com/mckaywrigley).
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- [Georgi Gerganov](https://github.com/ggerganov) for implementing [llama.cpp](https://github.com/ggerganov/llama.cpp).
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- [Andrei](https://github.com/abetlen) for building the [Python bindings for llama.cpp](https://github.com/abetlen/llama-cpp-python).
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- [NousResearch](https://nousresearch.com) for [fine-tuning the Llama 2 7B and 13B models](https://huggingface.co/NousResearch).
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- [Tom Jobbins](https://huggingface.co/TheBloke) for [quantizing the Llama 2 models](https://huggingface.co/TheBloke/Nous-Hermes-Llama-2-7B-GGML).
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- [Meta](https://ai.meta.com/llama) for releasing Llama 2 under a permissive license.
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---
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[](https://github.com/getumbrel/llama-gpt/blob/master/LICENSE.md)
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[umbrel.com](https://umbrel.com)
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