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wingardium leviosa
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Achievements

Achievement: StarstruckAchievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull Sharkx2Achievement: Quickdraw

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Organizations

@Alibaba-NLP

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callanwu/README.md

Jialong Wu

I focus on enhancing LLM Efficiency.
View my homepage for more details.
Contact: [email protected]

📊Weekly Development Breakdown 
From: 08 January 2025 - To: 15 January 2025

Total Time: 30 hrs 21 mins

Python       19 hrs 7 mins   ███████████████▓░░░░░░░░░   63.01 %
Other        3 hrs 24 mins   ██▓░░░░░░░░░░░░░░░░░░░░░░   11.24 %
HTML         3 hrs           ██▒░░░░░░░░░░░░░░░░░░░░░░   09.90 %
Markdown     2 hrs 39 mins   ██▒░░░░░░░░░░░░░░░░░░░░░░   08.78 %
Bash         41 mins         ▓░░░░░░░░░░░░░░░░░░░░░░░░   02.27 %

wakatime

Pinned Loading

  1. Alibaba-NLP/WebWalker Alibaba-NLP/WebWalker Public

    WebWaker: Benchmarking LLMs in Web Traversal https://arxiv.org/pdf/2501.07572

    Python 50

  2. aiwaves-cn/agents aiwaves-cn/agents Public

    An Open-source Framework for Data-centric, Self-evolving Autonomous Language Agents

    Python 5.4k 429

  3. huggingface/peft huggingface/peft Public

    🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

    Python 17k 1.7k

  4. huggingface/transformers huggingface/transformers Public

    🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

    Python 138k 27.6k