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

MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning

MusePose: a Pose-Driven Image-to-Video Framework for Virtual Human Generation

V-Express aims to generate a talking head video under the control of a reference image, an audio, and a sequence of V-Kps images.

AutoRAG 한국어 튜토리얼을 위한 레포입니다.

[NeurIPS'24] HippoRAG is a novel RAG framework inspired by human long-term memory that enables LLMs to continuously integrate knowledge across external documents. RAG + Knowledge Graphs + Personali…

Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.

Finetune Llama 3.2, Mistral, Phi & Gemma LLMs 2-5x faster with 80% less memory

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

Go ahead and axolotl questions

RAG Deploy -> Optimize -> Deploy again. Get high performance RAG service with less effort

코딩테스트 대비 문제집(Baekjoon Online Judge)

KoAlpaca: 한국어 명령어를 이해하는 오픈소스 언어모델

LangChain 공식 Document, Cookbook, 그 밖의 실용 예제를 바탕으로 작성한 한국어 튜토리얼입니다. 본 튜토리얼을 통해 LangChain을 더 쉽고 효과적으로 사용하는 방법을 배울 수 있습니다.

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

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

Full Stack SolarLLM Zero to All

🇰🇷파이토치에서 제공하는 튜토리얼의 한국어 번역을 위한 저장소입니다. (Translate PyTorch tutorials in Korean🇰🇷)

무료로 한국어🇰🇷 파인튜닝 모델 받아서 로컬 LLM 호스팅. LangServe, Ollama, streamlit + RAG

The official Meta Llama 3 GitHub site