Beomi/KoAlpaca
A Korean-language instruction-following LLM built on LLaMA/Alpaca with QLoRA fine-tuning support.
Not currently ranked — collecting fresh signals.
star history
KoAlpaca is an open-source language model designed to understand and respond to Korean instructions. The model is a fine-tuned version of Polyglot-ko and LLaMA architectures, supporting parameter-efficient fine-tuning methods like QLoRA and LoRA through PEFT. Model weights are distributed via HuggingFace, and training examples including tensor parallel multi-GPU fine-tuning are provided as Colab notebooks.
Frequently asked
- What is Beomi/KoAlpaca?
- A Korean-language instruction-following LLM built on LLaMA/Alpaca with QLoRA fine-tuning support.
- Is KoAlpaca open source?
- Yes — Beomi/KoAlpaca is open source, released under the Apache-2.0 license.
- What language is KoAlpaca written in?
- Beomi/KoAlpaca is primarily written in Jupyter Notebook.
- How popular is KoAlpaca?
- Beomi/KoAlpaca has 1.6k stars on GitHub.
- Where can I find KoAlpaca?
- Beomi/KoAlpaca is on GitHub at https://github.com/Beomi/KoAlpaca.