NVIDIA / Megatron-EnergonLinks
Megatron's multi-modal data loader
β250Updated last week
Alternatives and similar repositories for Megatron-Energon
Users that are interested in Megatron-Energon are comparing it to the libraries listed below
Sorting:
- Training library for Megatron-based modelsβ102Updated this week
- π Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flashβ¦β268Updated 2 months ago
- [ICLR 2025] COAT: Compressing Optimizer States and Activation for Memory-Efficient FP8 Trainingβ241Updated last month
- π₯ A minimal training framework for scaling FLA modelsβ255Updated 3 weeks ago
- Official repository for DistFlashAttn: Distributed Memory-efficient Attention for Long-context LLMs Trainingβ216Updated last year
- Best practices for training DeepSeek, Mixtral, Qwen and other MoE models using Megatron Core.β98Updated 2 weeks ago
- π Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.β213Updated last week
- Flash-Muon: An Efficient Implementation of Muon Optimizerβ189Updated 3 months ago
- ByteCheckpoint: An Unified Checkpointing Library for LFMsβ248Updated 2 months ago
- Triton implementation of FlashAttention2 that adds Custom Masks.β135Updated last year
- DTensor-native pretraining and fine-tuning for LLMs/VLMs with day-0 Hugging Face support, GPU-acceleration, and memory efficiency.β84Updated this week
- This repository contains the experimental PyTorch native float8 training UXβ224Updated last year
- [ICLR 2025] DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Headsβ491Updated 7 months ago
- Efficient triton implementation of Native Sparse Attention.β226Updated 4 months ago
- β126Updated 4 months ago
- ring-attention experimentsβ152Updated 11 months ago
- Triton-based implementation of Sparse Mixture of Experts.β241Updated last month
- Odysseus: Playground of LLM Sequence Parallelismβ77Updated last year
- PyTorch bindings for CUTLASS grouped GEMM.β123Updated 4 months ago
- Ring attention implementation with flash attentionβ880Updated 3 weeks ago
- Implementation for FP8/INT8 Rollout for RL training without performence drop.β242Updated last week
- Implementation of π Ring Attention, from Liu et al. at Berkeley AI, in Pytorchβ540Updated 4 months ago
- Microsoft Automatic Mixed Precision Libraryβ622Updated last year
- Efficient LLM Inference over Long Sequencesβ391Updated 3 months ago
- PyTorch bindings for CUTLASS grouped GEMM.β152Updated last month
- Load compute kernels from the Hubβ290Updated last week
- Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"β171Updated last year
- β199Updated 4 months ago
- USP: Unified (a.k.a. Hybrid, 2D) Sequence Parallel Attention for Long Context Transformers Model Training and Inferenceβ570Updated 2 weeks ago
- Applied AI experiments and examples for PyTorchβ296Updated last month