R6410418/Jackrong-llm-finetuning-guide
An educational, end-to-end open-source knowledge base for LLM fine-tuning, dataset distillation, reinforcement learning, and local deployment.
- Stars
- 1.7k
- Forks
- 272
- Open issues
- 13
- Last push
- 3mo ago
About Jackrong-llm-finetuning-guide
Jackrong-llm-finetuning-guide is a free, open-source machine learning tool by R6410418, written mainly in Jupyter Notebook. An educational, end-to-end open-source knowledge base for LLM fine-tuning, dataset distillation, reinforcement learning, and local deployment. It has 1.7k GitHub stars and 272 forks, and was last updated 3mo ago. It's released under the Apache-2.0 license, a standard open-source license.
- License
- Apache-2.0
- Language
- Jupyter Notebook
- Stars
- 1,717
- Last update
- 3mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not required
- Self-hostable
- Not stated
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Jackrong-llm-finetuning-guide FAQ
Is Jackrong-llm-finetuning-guide free?
Yes. Jackrong-llm-finetuning-guide is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.
Does Jackrong-llm-finetuning-guide run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does Jackrong-llm-finetuning-guide need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is Jackrong-llm-finetuning-guide still maintained?
It was last updated 3mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to Jackrong-llm-finetuning-guide?
Similar free, open-source tools include easy-dataset, peft, imbalanced-learn, MetaClaw.