Stars
Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM
Ongoing research training transformer models at scale
The framework for User-Generated Interfaces
slime is an LLM post-training framework for RL Scaling.
Achieve state of the art inference performance with modern accelerators on Kubernetes
Worktrunk is a CLI for Git worktree management, designed for parallel AI agent workflows
Official implementation of GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Comprehensive Claude Code project configuration example with hooks, skills, agents, commands, and GitHub Actions workflows
Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflo…
An interface library for RL post training with environments.
bloom - evaluate any behavior immediately 🌸🌱
A minimal yet production-ready FastAPI application demonstrating core backend engineering concepts including structured configuration, health checks, logging, and testing patterns.
ToolOrchestra is an end-to-end RL training framework for orchestrating tools and agentic workflows.
Atlas is infrastructure for continual learning in LLM agents.
Toonify: Compact data format reducing LLM token usage by 30-60%
PyTorch native quantization and sparsity for training and inference
LMDeploy is a toolkit for compressing, deploying, and serving LLMs.
A minimal tool to generate and validate datasets.
OpenTSLM: Time-Series Language Models for Reasoning over Multivariate Medical Text- and Time-Series Data
Post-training with Tinker
A Continual Learning Framework for Production LLM Agents
Simple Multi-Resource Rate Limiting That Saves Unused Tokens. Rate limit API requests across different resources and workers without wasting your quota. Reserve tokens upfront, get refunds for what…
💫 Toolkit to help you get started with Spec-Driven Development