Alpaca-LoRA-Serve | Alpaca-LoRA as Chatbot service | Application Framework library

by deep-diver Python Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | Alpaca-LoRA-Serve Summary

Alpaca-LoRA-Serve is a Python library typically used in Server, Application Framework applications. Alpaca-LoRA-Serve has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can download it from GitHub.

Alpaca-LoRA as Chatbot service

Support

Quality

Security

License

Reuse

Support

Alpaca-LoRA-Serve has a medium active ecosystem.

It has 1475 star(s) with 203 fork(s). There are 34 watchers for this library.

It had no major release in the last 6 months.

There are 20 open issues and 20 have been closed. On average issues are closed in 2 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of Alpaca-LoRA-Serve is current.

Quality

Alpaca-LoRA-Serve has no bugs reported.

Security

Alpaca-LoRA-Serve has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Alpaca-LoRA-Serve is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

Alpaca-LoRA-Serve 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-LoRA-Serve Key Features

No Key Features are available at this moment for Alpaca-LoRA-Serve.

Alpaca-LoRA-Serve Examples and Code Snippets

No Code Snippets are available at this moment for Alpaca-LoRA-Serve.

Community Discussions

Trending Discussions on Application Framework

What is meant by required-api: param name=”#target” in config.xml file of AGL widgets?

QUESTION

What is meant by required-api: param name=”#target” in config.xml file of AGL widgets?

Asked 2020-Mar-06 at 09:53

I am trying to understand various available AGL specific options that we can give in config.xml and I am referring to the link below

https://docs.automotivelinux.org/docs/en/halibut/apis_services/reference/af-main/2.2-config.xml.html

This is the sample config.xml file

...

ANSWER

Answered 2020-Mar-06 at 09:48

I figured out why we need this

required-api: param name="#target"

OPTIONAL(not compulsory)

It declares the name of the unit(in question it is main) requiring the listed apis. Only one instance of the param “#target” is allowed. When there is not instance of this param, it behave as if the target main was specified.

Source https://stackoverflow.com/questions/60561230

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Alpaca-LoRA-Serve

You can download it from GitHub.
You can use Alpaca-LoRA-Serve 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

tloen/alpaca-lora-7b: the original 7B Alpaca-LoRA checkpoint by tloen (updated by 4/4/2022)chansung/alpaca-lora-13b: the 13B Alpaca-LoRA checkpoint by myself(chansung) with the same script to tune the original 7B model (updated by 4/4/2022)chansung/koalpaca-lora-13b: the 13B Alpaca-LoRA checkpoint by myself(chansung) with the Korean dataset created by KoAlpaca project by Beomi. It works for English(user) to Korean(AI) conversationschansung/alpaca-lora-30b: the 30B Alpaca-LoRA checkpoint by myself(chansung) with the same script to tune the original 7B model (updated by 4/4/2022)chansung/alpaca-lora-65b: the 65B Alpaca-LoRA checkpoint by myself(chansung) with the same script to tune the original 7B modeldeclare-lab/flan-alpaca-base, declare-lab/flan-alpaca-large, declare-lab/flan-alpaca-xl, declare-lab/flan-alpaca-xxl: the Flan series fine tuned on the Alpaca dataset

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