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HyeongminMoon/README.md

Hyeongmin Moon

Intro

I am a AI engineer mainly researching about computer vision. Recently researching Diffusion Models, Large Language Models and theirs Quantization methods too.

For me, Development does not happen just in computer. Development means All actions that present a solution when a problem is given, and if the real action is more appropriate than the code, I prefer to adopt it.

Recent interests

  • Train/Inference speed optimization for big-models(exllama, Stable Diffusion, vllm, etc)
  • Finetuning LLMs(full-finetuning, LoRA, QLoRA)
  • Large model Quantization into 4bit(GPTQ, AWQ)
  • Few-data learning using CrossValidation & Stacking Ensemble
  • MoE (Mixture of Experts)
  • More Interests sorted by category

Education & Skills

Skills_202403

Projects

Web CV last updated: 2024.05 Web Portfolio last updated: 2024.05

Contact

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  1. microsoft/qlib microsoft/qlib Public

    Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas…

    Python 14.7k 2.5k

  2. Chatbot-with-Translation Chatbot-with-Translation Public

    Chatbot with Translation. Original input text is translated to english for the best performance of Chatbot, and translated back to original language.

    Python

  3. ddetailer ddetailer Public

    Forked from dustysys/ddetailer

    ddetailer with fixed dynamic prompt, wildcard. Also supports custom removal for Lora

    Python

  4. text-generation-webui-multi-user text-generation-webui-multi-user Public

    Forked from oobabooga/text-generation-webui

    A gradio web UI for running Large Language Models like LLaMA, llama.cpp, GPT-J, Pythia, OPT, and GALACTICA.

    Python

  5. DeepLearningUtil DeepLearningUtil Public

    DeepLearningUtil

    Jupyter Notebook 1

  6. Image_Stitching Image_Stitching Public

    Python 1