PKU-Alignment/align-anything

streamline the fine-tuning process for multimodal models: PaliGemma 2, Florence-2, and Qwen2.5-VL

Robust recipes to align language models with human and AI preferences

An Asynchronous Reinforcement Learning Engine for Omni-Modal Post-Training at Scale

A Framework of Small-scale Large Multimodal Models

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

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).

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

Train a Jev-like multimodal model by yourself. System One Model, now with vision.

4M: Massively Multimodal Masked Modeling