h2o-llmstudio | H2O LLM Studio - a framework and no-code GUI

by h2oai Python Version: v0.0.3 License: Apache-2.0

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

kandi X-RAY | h2o-llmstudio Summary

h2o-llmstudio is a Python library. h2o-llmstudio 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.

H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs

Support

Quality

Security

License

Reuse

Support

h2o-llmstudio has a medium active ecosystem.

It has 1690 star(s) with 143 fork(s). There are 22 watchers for this library.

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

There are 22 open issues and 58 have been closed. On average issues are closed in 9 days. There are 5 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of h2o-llmstudio is v0.0.3

Quality

h2o-llmstudio has no bugs reported.

Security

h2o-llmstudio has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

h2o-llmstudio 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

h2o-llmstudio 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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h2o-llmstudio Key Features

No Key Features are available at this moment for h2o-llmstudio.

h2o-llmstudio Examples and Code Snippets

No Code Snippets are available at this moment for h2o-llmstudio.

Community Discussions

No Community Discussions are available at this moment for h2o-llmstudio.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install h2o-llmstudio

For questions, discussing, or just hanging out, come and join our Discord!. We offer several ways of getting started quickly.
H2O LLM Studio requires a machine with Ubuntu 16.04+ and at least one recent Nvidia GPU with Nvidia drivers version >= 470.57.02. For larger models, we recommend at least 24GB of GPU memory. To get started with H2O LLM Studio, you'll need to install Python 3.10 if you don't have it on your machine already.

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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