LLaMA-Adapter | Fine-tuning LLaMA to follow Instructions within 1 Hour and 12M Parameters | Application Framework library

by OpenGVLab Python Version: v.2.0.0 License: GPL-3.0

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

kandi X-RAY | LLaMA-Adapter Summary

LLaMA-Adapter is a Python library typically used in Server, Application Framework applications. LLaMA-Adapter has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has medium support. You can download it from GitHub.

Official implementation of 'LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention' and 'LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model'. This repo proposes LLaMA-Adapter (V2), a lightweight adaption method for fine-tuning Instruction-following and Multi-modal LLaMA models . Try out the web demo of LLaMA-Adapter: , LLaMA-Adapter V2 and ImageBind-LLM.

Support

Quality

Security

License

Reuse

Support

LLaMA-Adapter has a medium active ecosystem.

It has 4057 star(s) with 257 fork(s). There are 85 watchers for this library.

There were 1 major release(s) in the last 12 months.

There are 40 open issues and 13 have been closed. On average issues are closed in 7 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of LLaMA-Adapter is v.2.0.0

Quality

LLaMA-Adapter has no bugs reported.

Security

LLaMA-Adapter has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

LLaMA-Adapter is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

LLaMA-Adapter releases are available to install and integrate.

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

Installation instructions, examples and code snippets are available.

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LLaMA-Adapter Key Features

No Key Features are available at this moment for LLaMA-Adapter.

LLaMA-Adapter Examples and Code Snippets

No Code Snippets are available at this moment for LLaMA-Adapter.

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 LLaMA-Adapter

Here is a from-scratch script for LLaMA-Adapter V1. Note: To setup other models, please refer to llama_adapter_v2_chat65b, llama_adapter_v2_multimodal and imagebind_LLM for more details.

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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