🔥 A minimal training framework for scaling FLA models

We’re OpenLLM Europe 🇪🇺, an Open Source community committed to empower LLM projects in all European languages, specifically medium and low-resource languages.

A lightweight, AI-native training framework for large language models. Designed for fast iteration, reproducible experiments, and modular configuration across SFT, RLVR, and evaluation workflows.

天朝禁书 - 亲自整理，亲自传播

The LUMI AI Guide is designed to assist users in migrating their machine learning applications from smaller-scale computing environments to the LUMI supercomputer.

PyTorch building blocks for the OLMo ecosystem

A PyTorch native platform for training generative AI models

A PyTorch native platform for training generative AI models

Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.6, DeepSeek-V4, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM4.5v, Gemma4, Llava, …

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

Go ahead and axolotl questions

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

📰 Must-read papers and blogs on Speculative Decoding ⚡️

Fully open reproduction of DeepSeek-R1

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

Python bindings for llama.cpp

An Extensible Deep Learning Library

Making large AI models cheaper, faster and more accessible

Minimalistic large language model 3D-parallelism training

A course of learning LLM inference serving on Apple Silicon for systems engineers: build a tiny vLLM + Qwen.

Nano vLLM

s1: Simple test-time scaling

An Efficient and User-Friendly Scaling Library for Reinforcement Learning with Large Language Models

Train transformer language models with reinforcement learning.

verl/HybridFlow: A Flexible and Efficient RL Post-Training Framework

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