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MiuLab/Taiwan-LLM resource

Traditional Mandarin LLMs for Taiwan observed · 2026-08-28

github.com/MiuLab/Taiwan-LLM · homepage · Python · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

26/100

  • Activity 17
  • Release rhythm 8
  • Longevity 79
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 1119
  • days_rel: n/a
  • days_push: 501
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1426 stars · 119 forks observed · 2026-08-28

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

A collection of Traditional Mandarin large language models (Taiwan-LLM / TAME) built on the Llama-3 architecture, fine-tuned on Traditional Mandarin and English corpora for Taiwanese culture and domains. The repository provides model weights, fine-tuning configs for Axolotl, evaluation papers, and an online chat demo.

Use cases

  • fine-tune a Traditional Mandarin chat model on my own Taiwan-specific data
  • get a Llama-3-based LLM that understands Traditional Mandarin and Taiwanese context
  • run a Traditional Mandarin NLP benchmark to compare Chinese-language models
  • deploy a chatbot that speaks Traditional Mandarin for Taiwan users
  • adapt an open LLM to legal or medical text in Traditional Mandarin
  • train a mixture-of-experts model for multilingual Traditional Mandarin and English tasks

When to choose

  • you need strong Traditional Mandarin (Taiwan) language understanding or generation
  • you want open Apache-2.0 licensed Llama-3-based weights to fine-tune or self-host
  • you are benchmarking Chinese-language LLMs against Taiwan-specific NLP tasks
  • you need a starting point for Axolotl or NVIDIA NeMo fine-tuning pipelines

When to avoid

  • you need Simplified Chinese or mainland-China-specific language models
  • you want a ready-to-use hosted API without managing your own inference
  • you lack GPU resources and only need a small lightweight model
  • you need non-Chinese multilingual coverage beyond English and Mandarin

Facets

learning-resource · maturity active

llm-training nlp machine-learning chatbot large-language-models artificial-intelligence python cloud traditional-mandarin taiwan llama-3 fine-tuning axolotl nemo-framework mixture-of-experts chinese-language-model model-weights benchmarking natural-language-processing gpu docker

1 source

Member repositories

RepositoryRoleHealth v2
MiuLab/Taiwan-LLMmain26

For agents

markdown · JSON · MCP: product_card(name="MiuLab/Taiwan-LLM")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem