Official repository for the paper "LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code"

PyTorch-native post-training at scale

A PyTorch native platform for training generative AI models

Claude Code dashboard with usage stats, error analysis, and sharable feature

Environments for LLM Reinforcement Learning

100+ Fine-tuning LLM Notebooks on Google Colab, Kaggle, and more.

🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.

An open-source tool for LLM prompt optimization.

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM

Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)

Cost-efficient and pluggable Infrastructure components for GenAI inference

PyTorch native post-training library

Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 and other models.

A fast multimodal LLM for real-time voice

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

Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.

Scalable toolkit for efficient model alignment

LLM-powered multiagent persona simulation for imagination enhancement and business insights.

📄 Markdown to PDF converter

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

Inference and training library for high-quality TTS models.

Fast and accurate automatic speech recognition (ASR) for edge devices

Accessible large language models via k-bit quantization for PyTorch.

Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

PyTorch native quantization and sparsity for training and inference

Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, 17+ clouds, or on-prem).

Serve, optimize and scale PyTorch models in production

✨✨Latest Advances on Multimodal Large Language Models