subramen / minGPT-ddpLinks
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
☆22Updated 3 years ago
Alternatives and similar repositories for minGPT-ddp
Users that are interested in minGPT-ddp are comparing it to the libraries listed below
Sorting:
- ☆186Updated last year
- Megatron's multi-modal data loader☆278Updated last week
- Implementation of the paper: "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆110Updated last week
- Implementation of Soft MoE, proposed by Brain's Vision team, in Pytorch☆336Updated 7 months ago
- ☆48Updated last year
- A minimal implementation of LLaVA-style VLM with interleaved image & text & video processing ability.☆96Updated 11 months ago
- Experiments on Multi-Head Latent Attention☆99Updated last year
- ☆132Updated 6 months ago
- [ICLR 2025] COAT: Compressing Optimizer States and Activation for Memory-Efficient FP8 Training☆250Updated 3 months ago
- VIT inference in triton because, why not?☆32Updated last year
- ☆157Updated 2 years ago
- Recent Advances on Efficient Vision Transformers☆55Updated 2 years ago
- Flash-Muon: An Efficient Implementation of Muon Optimizer☆206Updated 5 months ago
- [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs☆121Updated 4 months ago
- JORA: JAX Tensor-Parallel LoRA Library (ACL 2024)☆36Updated last year
- ☆303Updated 7 months ago
- Python pdb for multiple processes☆62Updated 6 months ago
- [CVPR'23] SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer☆76Updated last year
- ☆27Updated 8 months ago
- ☆27Updated last year
- Implementation of IceFormer: Accelerated Inference with Long-Sequence Transformers on CPUs (ICLR 2024).☆25Updated 4 months ago
- ☆293Updated 11 months ago
- Get down and dirty with FlashAttention2.0 in pytorch, plug in and play no complex CUDA kernels☆112Updated 2 years ago
- Odysseus: Playground of LLM Sequence Parallelism☆78Updated last year
- [CoLM'25] The official implementation of the paper <MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression>☆150Updated 4 months ago
- ☆221Updated 2 years ago
- ring-attention experiments☆160Updated last year
- Demystify RAM Usage in Multi-Process Data Loaders☆204Updated 2 years ago
- pytorch-profiler☆51Updated 2 years ago
- Patch convolution to avoid large GPU memory usage of Conv2D☆93Updated 10 months ago