Learn how to fine-tune large language models and prepare datasets for local deployment with step-by-step guidance.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeJackrong-llm-finetuning-guide has 1.7k stars on GitHub. It has been forked 268 times. Jackrong-llm-finetuning-guide is written mainly in Jupyter Notebook. It has been in active development since 2026. Jackrong-llm-finetuning-guide is available under the Apache-2.0 license. Its main topics are dataset, deepseek, fine-tuning, guide.
Jackrong-llm-finetuning-guide is an open-source project. It is released under the Apache-2.0 license.
Yes. Jackrong-llm-finetuning-guide is free and open source — you can use, modify and self-host it.
Jackrong-llm-finetuning-guide is available under the Apache-2.0 license.
Jackrong-llm-finetuning-guide is written mainly in Jupyter Notebook.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/r6410418-jackrong-llm-finetuning-guide.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.