Beomi/KoAlpaca resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1573 stars · 224 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

KoAlpaca is an open-source Korean instruction-following language model project with training code, datasets, and fine-tuned model weights based on LLaMA and Polyglot-ko. It includes Colab tutorials for QLoRA fine-tuning and inference on consumer GPUs.

Use cases

• fine-tune a Korean instruction-following LLM
• train an Alpaca-style model on Korean data
• run QLoRA fine-tuning on a free Colab T4 GPU
• get a Korean chatbot language model
• fine-tune Polyglot-ko on custom instructions
• learn LLM fine-tuning with Korean datasets

When to choose

• you need a Korean-language instruction-tuned open model
• you want reproducible fine-tuning examples for LLaMA or Polyglot-ko on limited GPU hardware
• you need the KoAlpaca v1.1 instruction dataset

When to avoid

• you need a hosted chat demo (the web demo was shut down in May 2024)
• you need a production-ready multilingual assistant rather than a research model
• you need non-Korean language support

Facets

learning-resource · maturity maintenance

llm-training machine-learning nlp large-language-models machine-learning python korean alpaca llama instruction-tuning finetuning qlora polyglot-ko dataset natural-language-processing gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="Beomi/KoAlpaca")