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Hi there 👋

Thanks for visiting my Github Page. Here are some facts about me:

  • 🔭 I’m currently working on: LLM(Large Language Model) landing application and inference acceleration, optimize the performance of deep learning models for specific scenarios. My previous main work was data analysis, risk control, data mining, machine learning, and algorithm.
  • 🌱 I'm also working on those directions of NLP: text classification, information extraction and text generation.
  • 🔬 I'm now interesting in how to get high-quality text for training language models (for examples, text-to-text model such as T5, causal language model such as GPT2 / Qwen / LLaMA3), and how to speedy up LLM training, fine-tune and inference, like DeepSpeed and VLLM. In addition, the application of LLM in vertical fields is also a very interesting direction, such as RAG (Retrieval Augmented Generation) and information extraction.
  • 📫 ······

My skills 🛠️

  • Languages:
    • Python, SQL, Shell, C++, a little Golang and a little Java.
  • Frameworks:
    • PyTorch, Huggingface's NLP framework, Pandas & Numpy, FastAPI, PySpark, Hive.
  • Developments:
    • Linux, Git, Docker, VSCode, Markdown.

Contributes 🧑‍💻

GitHub Streak

   Charent's GitHub stats       Top Langs   

Links 🔗

Charent's Projects

android_sensor_data_collection icon android_sensor_data_collection

采集安卓手机输入过程中重力感应器、线性加速度感应器、加速度感应器和陀螺仪的变化数据。用于训练姿态识别模型。

awesome-chinese-llm icon awesome-chinese-llm

整理开源的中文大语言模型,以规模较小、可私有化部署、训练成本较低的模型为主,包括底座模型,垂直领域微调及应用,数据集与教程等。

charent icon charent

This special repository is for the welcome message on my Github Profile Page.

chatlm-mini-chinese icon chatlm-mini-chinese

中文对话0.2B小模型(ChatLM-Chinese-0.2B),开源所有数据集来源、数据清洗、tokenizer训练、模型预训练、SFT指令微调、RLHF优化等流程的全部代码。支持下游任务sft微调,给出三元组信息抽取微调示例。

go-blog icon go-blog

基于gin的golang个人博客后端

phi2-mini-chinese icon phi2-mini-chinese

Phi2-Chinese-0.2B 从0开始训练自己的Phi2中文小模型,支持接入langchain加载本地知识库做检索增强生成RAG。Training your own Phi2 small chat model from scratch.

phone_attitude_recognition icon phone_attitude_recognition

手机输入姿态识别。通过采集不同使用姿态下的手机重力感应器、线性加速度感应器、加速度感应器和陀螺仪的数据,用于训练模型并部署。

pytorch_ie_model icon pytorch_ie_model

基于二分标注的文本三元组信息抽取模型。实现抽取出文本中的多个三元组,输出格式:[ (主实体, 关系, 客实体), ......]。

vllm icon vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

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