alpaca-trainer | Initial code to reproduce Alpaca model

by abacaj Python Version: Current License: MIT

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kandi X-RAY | alpaca-trainer Summary

alpaca-trainer is a Python library. alpaca-trainer has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Initial code to reproduce Alpaca model. Note this uses codegen instead since I don't have access to LLaMA weights/model. Still pending huggingface integration.

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Quality

Security

License

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Support

alpaca-trainer has a low active ecosystem.

It has 1 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

alpaca-trainer has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of alpaca-trainer is current.

Quality

alpaca-trainer has no bugs reported.

Security

alpaca-trainer has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

alpaca-trainer is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

alpaca-trainer releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

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alpaca-trainer Key Features

No Key Features are available at this moment for alpaca-trainer.

alpaca-trainer Examples and Code Snippets

No Code Snippets are available at this moment for alpaca-trainer.

Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install alpaca-trainer

You can download it from GitHub.
You can use alpaca-trainer like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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