Home Projects Finetune_LLMs
Finetune_LLMs
Python

Finetune_LLMs

Repo for fine-tuning Casual LLMs

by mallorbc · GitHub
Stars
Forks
License
Created
Last commit
Category
Language
Likely
Self-hostable
dockerfalcongptAGPL-3.0PythonSelf-hostable
View on GitHub
In plain words

Fine-tune large language models using a dataset of famous quotes to improve their responses.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
Finetune_LLMs — GitHub preview card
📈 Star history
468467
2026-07-202026-08-31
📈 Track Finetune_LLMs

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

Repo for fine-tuning Casual LLMs

Finetune_LLMs has 467 stars on GitHub. It has been forked 86 times. Finetune_LLMs is written mainly in Python. It has been in active development since 2021. Finetune_LLMs is available under the AGPL-3.0 license. Its main topics are docker, falcon, gpt, gpt-3.

Frequently asked questions

What is Finetune_LLMs?

Repo for fine-tuning Casual LLMs

Is Finetune_LLMs open source?

Finetune_LLMs is an open-source project. It is released under the AGPL-3.0 license.

Is Finetune_LLMs free?

Yes. Finetune_LLMs is free and open source — you can use, modify and self-host it. Its AGPL-3.0 license is a strong copyleft: if you distribute a modified version — including offering it as a network service — your changes must be released under the same license.

What license does Finetune_LLMs use?

Finetune_LLMs is available under the AGPL-3.0 license.

What language is Finetune_LLMs written in?

Finetune_LLMs is written mainly in Python.

🏅 Maintainer of this project?
olud.ai badge — Finetune_LLMs

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=mallorbc-finetune-llms)](https://olud.ai/project/mallorbc-finetune-llms.html)
More badge options →
🧬 Shares DNA with🧬 View the DNA map →

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.