A compact implementation of SGLang, designed to demystify the complexities of modern LLM serving systems.

ShinkaEvolve: Towards Open-Ended and Sample-Efficient Program Evolution

KernelBench: Can LLMs Write GPU Kernels? - Benchmark + Toolkit with Torch -> CUDA (+ more DSLs)

MiroThinker is a series of open-source agentic models trained for deep research and complex tool use scenarios.

Official repository for DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research

A version of verl to support diverse tool use

My learning notes for ML SYS.

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

🌾 OAT: A research-friendly framework for LLM online alignment, including reinforcement learning, preference learning, etc.

open source codebase for BioRiskEval

A scalable asynchronous reinforcement learning implementation with in-flight weight updates.

A RL Framework for multi LLM agent system

slime is an LLM post-training framework for RL Scaling.

verl: Volcano Engine Reinforcement Learning for LLMs

An extensible RL framework for training LLM agents with advanced search capabilities, built on VERL and supporting state-of-the-art search strategies.

Search-R1: An Efficient, Scalable RL Training Framework for Reasoning & Search Engine Calling interleaved LLM based on veRL

The simplest, fastest repository for training/finetuning medium-sized GPTs.

Friends of OLMo and their links.

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

A convenient way to trigger synchronizations to wandb / Weights & Biases if your compute nodes don't have internet!

Foundation Models for Genomics & Transcriptomics

Curated coding interview preparation materials for busy software engineers

Pretraining infrastructure for multi-hybrid AI model architectures

Jailbreak Evo

Official repository for the ProteinGym benchmarks

Genome modeling and design across all domains of life