NVIDIA-NeMo/Megatron-Bridge

Bridge Megatron-Core to Hugging Face/Reinforcement Learning

MCore-Bridge: Providing Megatron-Core model definitions for state-of-the-art large models and making Megatron training as simple as Transformers — with support for 300+ large language models (Qwen3-Next, GLM-5.3, Deepseek-V4, MiniMax-2.7, ...) and 200+ multimodal large models (Qwen3.8, Qwen3-Omni, Gemma4, ...).

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

This library empowers users to seamlessly port pretrained models and checkpoints on the HuggingFace (HF) hub (developed using HF transformers library) into inference-ready formats that run efficiently on Qualcomm Cloud AIxx (AI100, AI200 and so on) accelerators.

Utils for Unsloth https://github.com/unslothai/unsloth

Agent Skill to help convert transformer LLMs to mlx-lm

Convert models to GGUF

Muon is Scalable for LLM Training

Ongoing research training transformer models at scale