OptimalScale/LMFlow
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
Code and documentation to train Stanford's Alpaca models, and generate the data.
$ git clone https://github.com/tatsu-lab/stanford_alpaca.gitAn Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
๐ Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
High-performance In-browser LLM Inference Engine
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.
Data from GitHub ยท snapshot Sep 24, 2026