stepfun-ai/SteptronOss

A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)

Trinity-RFT is a general-purpose, flexible and scalable framework designed for reinforcement fine-tuning (RFT) of large language models (LLM).

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

Democratizing Reinforcement Learning for LLMs

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

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).

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

Go ahead and axolotl questions

A Lightweight LLM Post-Training Library