A framework for efficient model inference with omni-modality models

Inferix: A Block-Diffusion based Next-Generation Inference Engine for World Simulation

Pytorch Distributed native training library for LLMs/VLMs with OOTB Hugging Face support

The best ChatGPT that $100 can buy.

Post-training with Tinker

Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels

Cosmos-Transfer1 is a world-to-world transfer model designed to bridge the perceptual divide between simulated and real-world environments.

Render any git repo into a single static HTML page for humans or LLMs

gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI

Train speculative decoding models effortlessly and port them smoothly to SGLang serving.

(best/better) practices of megatron on veRL and tuning guide

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

🤗A PyTorch-native Inference Engine with Hybrid Cache Acceleration and Parallelism for DiTs: Z-Image, FLUX2, Qwen-Image, etc.

FastCache: Fast Caching for Diffusion Transformer Through Learnable Linear Approximation [Efficient ML Model]

Seed1.5-VL, a vision-language foundation model designed to advance general-purpose multimodal understanding and reasoning, achieving state-of-the-art performance on 38 out of 60 public benchmarks.

verl: Volcano Engine Reinforcement Learning for LLMs

MAGI-1: Autoregressive Video Generation at Scale

A Distributed Attention Towards Linear Scalability for Ultra-Long Context, Heterogeneous Data Training

VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo

This package contains the original 2012 AlexNet code.

🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.

Sampling profiler for Python programs

Fast Multi-dimensional Sparse Attention

HunyuanVideo-I2V: A Customizable Image-to-Video Model based on HunyuanVideo

Analyze computation-communication overlap in V3/R1.

A lightweight data processing framework built on DuckDB and 3FS.

A high-performance distributed file system designed to address the challenges of AI training and inference workloads.

Expert Parallelism Load Balancer

Wan: Open and Advanced Large-Scale Video Generative Models

DeepGEMM: clean and efficient FP8 GEMM kernels with fine-grained scaling