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Lun Zhongwang's Projects

ansible icon ansible

Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to cloud management, in a language that approaches plain English, using SSH, with no agents to install on remote systems. https://docs.ansible.com.

awesome-llm icon awesome-llm

Awesome-LLM: a curated list of Large Language Model

chatglm-6b icon chatglm-6b

ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

deepspeed icon deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

fastllm icon fastllm

纯c++的全平台llm加速库,支持python调用,chatglm-6B级模型单卡可达10000+token / s,支持glm, llama, moss基座,手机端流畅运行

fasttext icon fasttext

Library for fast text representation and classification.

glm icon glm

GLM (General Language Model)

gpt-fast icon gpt-fast

Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.

lawgpt icon lawgpt

🎉 Repo for LaWGPT, Chinese-Llama tuned with Chinese Legal knowledge. 基于中文法律知识的大语言模型

lora icon lora

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

megatron-lm icon megatron-lm

Ongoing research training transformer models at scale

mmcv icon mmcv

OpenMMLab Computer Vision Foundation

mnbvc icon mnbvc

MNBVC(Massive Never-ending BT Vast Chinese corpus)超大规模中文语料集。对标chatGPT训练的40T数据。MNBVC数据集不但包括主流文化,也包括各个小众文化甚至火星文的数据。MNBVC数据集包括新闻、作文、小说、书籍、杂志、论文、台词、帖子、wiki、古诗、歌词、商品介绍、笑话、糗事、聊天记录等一切形式的纯文本中文数据。

oneflow icon oneflow

OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.

pytorch-image-models icon pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

ray icon ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.

redpajama-data icon redpajama-data

The RedPajama-Data repository contains code for preparing large datasets for training large language models.

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