Repository Index

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

• ray
• distributed
• parallel
• machine-learning

Ongoing research training transformer models at scale

• large-language-models
• model-para
• transformers

Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.8, DeepSeek-V4, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM5.3, Gemma4, Llava, Phi4, ...) (AAAI 2025).

• llm
• lora
• sft
• multimodal

20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

• ai
• artificial-intelligence
• deep-learning
• large-language-models

Easy-to-use and powerful LLM and SLM library with awesome model zoo.

• nlp
• embedding
• bert
• ernie

Go ahead and axolotl questions

• fine-tuning
• llm

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

• transformers
• vllm
• large-language-models
• raylib

🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support

A unified ecosystem and workspace for large-scale federated learning of Large Models & LLMS. Store compute as Wifi

• compute-orchestration
• distributed-systems
• edge-computing
• edge-intelligence

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

A Next-Generation Training Engine Built for Ultra-Large MoE Models

• llm
• agent
• deepseek-v3
• gpt-oss

EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL

• ai
• gpt
• llm
• nlp

Translatedcube studio is an open-source, cloud-native, one-stop machine learning / deep learning / large model AI platform. It covers the full mlops algorithm pipeline, a computing power rental platform, online notebook development, drag-and-drop task flow pipeline orchestration, multi-machine multi-GPU distributed training, hyperparameter search, inference services with VGPU virtualization, edge computing, a labeling platform with automated labeling, SFT fine-tuning / reward model / reinforcement learning training for large models such as deepseek, multi-machine large model inference with vllm/ollama/mindie, a private knowledge base, and an AI model marketplace. It supports domestic Chinese CPUs/GPUs/NPUs and the Ascend ecosystem, supports RDMA, and supports distributed frameworks such as pytorch/tf/mxnet/deepspeed/paddle/colossalai/horovod/ray/volcano.

• kubernetes
• inference
• mlops
• workflow

Meta Lingua: a lean, efficient, and easy-to-hack codebase to research LLMs.

中文nlp解决方案(大模型、数据、模型、训练、推理)

• bert
• nlp
• transformers
• gpt2

Miles is an enterprise-facing reinforcement learning framework for LLM and VLM post-training, forked from and co-evolving with slime.