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@ai-twinkle

Twinkle AI

🌟 Twinkle AI is a research community focused on building open-source Traditional Chinese language models.

About Twinkle AI

🌏 Website | 🎮 Discord | 😺 GitHub | 🤗 Hugging Face | 🤖 ModelScope | 🐳 Docker Hub | 🔗 Linkedin | 👥 Facebook

🌟 Twinkle AI is a research community founded in late 2024, dedicated to enhancing Traditional Chinese language models with local cultural context. Starting with open-source LLaMA models, we are developing practical technologies tailored to the linguistic nuances of Taiwan. Our community is made up of people from all walks of life, united by a shared passion for model training. From collecting region-specific corpora to training language models, we are committed to open-sourcing both our datasets and our models.

Our mission is to promote knowledge of large language model training through real-world practices. By embracing openness and collaboration, we aim to advance the local ecosystem in the field of generative AI.

👋 Join our Discord to connect and collaborate with the community!

Featured Projects

  • 📊 Twinkle Eval: A fast and accurate AI evaluation tool that uses parallel and randomized testing methods to provide objective performance analysis and stability assessments. It supports various commonly used benchmark datasets.
  • 📈 Eval Analyzer: A comprehensive visualization and analysis tool designed to interpret evaluation logs, providing deep insights into model performance through granular error tracking and comparative reporting.

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  1. Eval Eval Public

    High-performance LLM evaluation framework with parallel API calls — up to 17× faster than sequential tools. Supports box, math, and logit-based evaluation.

    Python 90 16

  2. llm-lab llm-lab Public

    繁中模型研究與實作的 Lab

    Jupyter Notebook 52 4

  3. eval-analyzer eval-analyzer Public

    視覺化與分析 Twinkle Eval 評估結果

    Python 8 6

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