MyGit

ViperX7/Alpaca-Turbo

Fork: 92 Star: 877 (更新于 2024-10-24 20:47:05)

license: AGPL-3.0

Language: Python .

Web UI to run alpaca model locally

最后发布版本: beta_v0.8 ( 2023-05-27 09:41:38)

GitHub网址

Alpaca-Turbo

Licence

GitHub release (latest by date) Commits/month

Contributors Downloads Discord

Alpaca-Turbo is a frontend to use large language models that can be run locally without much setup required. It is a user-friendly web UI for the llama.cpp , with unique features that make it stand out from other implementations. The goal is to provide a seamless chat experience that is easy to configure and use, without sacrificing speed or functionality.

📝 Example views

https://user-images.githubusercontent.com/38191717/234747316-2e8d5f55-73f2-4f42-ad9a-11114de1825b.mp4

📦 Installation Steps

📺 Video Instructions

  • ToDo
  • ToDo

🐳 Using Docker (only Linux is supported with docker)

  • ToDo

🪟 Using Windows (standalone or miniconda) AND Mac M1/M2 (using miniconda)

For Windows users we have a oneclick standalone launcher - Alpaca-Turbo.exe.

  1. Links for installing miniconda:
    • Windows
    • Mac M1/M2
      • Install for all users
      • Make sure to add c:\ProgramData\miniconda3\condabin to your environment variables
  2. Download the latest alpaca-turbo.zip from the release page.
  3. Extract Alpaca-Turbo.zip to Alpaca-Turbo

Make sure you have enough space for the models in the extracted location

  1. Copy your alpaca models to alpaca-turbo/models/ directory.

  2. Open cmd as Admin and type

    conda init
    
  3. close that window

  4. open a new cmd window in your Alpaca-Turbo dir and type

    conda create -n alpaca_turbo python=3.10 -y
    conda activate alpaca_turbo
    pip install -r requirements.txt
    python app.py
    
  5. ready to interact

Directly installing with Pip

just get the latest release unzip and then run

pip install -r requirements.txt
python app.py

💁 Contributing

As an open source project in a rapidly developing field, I am open to contributions, whether it be in the form of a new feature, improved infra, or better documentation.

For detailed information on how to contribute.

🙌 Credits

🌟 History

Star History Chart

最近版本更新:(数据更新于 2024-09-12 00:19:38)

2023-05-27 09:41:38 beta_v0.8

2023-04-27 10:49:18 beta_v0.7

2023-04-14 06:32:50 beta_v0.6

2023-04-04 01:03:35 beta_v0.5

2023-04-03 17:25:01 beta_v0.4

2023-04-03 01:23:05 beta_v0.3.2

2023-04-02 23:54:51 beta_v0.2

2023-04-01 00:01:18 beta_v0.1

ViperX7/Alpaca-Turbo同语言 Python最近更新仓库

2024-11-05 16:16:26 Guovin/TV

2024-11-05 15:03:24 Cinnamon/kotaemon

2024-11-05 11:00:51 home-assistant/core

2024-11-04 23:11:11 DS4SD/docling

2024-11-04 10:56:18 open-compass/opencompass

2024-11-04 08:51:21 yt-dlp/yt-dlp