Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

GPQA: A Graduate-Level Google-Proof Q&A Benchmark

A PyTorch native platform for training generative AI models

Post-training with Tinker

SWE-agent takes a GitHub issue and tries to automatically fix it, using your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2024]

[NeurIPS 2025 D&B Spotlight] Scaling Data for SWE-agents

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

Democratizing Reinforcement Learning for LLMs

Toolchain manager for Roblox projects

SGLang is a high-performance serving framework for large language models and multimodal models.

The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while control…

Our library for RL environments + evals

Lightweight coding agent that runs in your terminal

Renderer for the harmony response format to be used with gpt-oss

Copilot Chat extension for VS Code

Code at the speed of thought – Zed is a high-performance, multiplayer code editor from the creators of Atom and Tree-sitter.

✨ A synthetic dataset generation framework that produces diverse coding questions and verifiable solutions - all in one framwork

This repo contains the dataset and code for the paper "SWE-Lancer: Can Frontier LLMs Earn $1 Million from Real-World Freelance Software Engineering?"

Model Context Protocol Servers

Train transformer language models with reinforcement learning.

TransMLA: Multi-Head Latent Attention Is All You Need (NeurIPS 2025 Spotlight)

s1: Simple test-time scaling

verl: Volcano Engine Reinforcement Learning for LLMs

Fully open reproduction of DeepSeek-R1

⏩ Source-controlled AI checks, enforceable in CI. Powered by the open-source Continue CLI

An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & TIS & vLLM & Ray & Async RL)

Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

The Open Cookbook for Top-Tier Code Large Language Model